Explore 5 python data engineer jobs from 4 hiring companies in Adair, IA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-data-engineer

Python Data Engineer

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Python Data Engineer Jobs

Athene

Aureon

Pella

W. R. Berkley

Onsite

Hybrid

&nbsp;Associate Data EngineerUrbandale, IA (hybrid)The Associate Data Engineer supporting Digital, Marketing, and Pro CX at Pella is responsible for building and maintaining the data foundations that enable scalable, reliable analytics across customer experience, digital performance, and marketing functions. This role focuses on designing data pipelines, transforming and modeling data, and ensuring high-quality, well-governed data is available for analytics, reporting, and advanced use cases.&nbsp;This individual will work cross-functionally with the Digital team, Marketing team, and Pro CX team to support a wide range of analytics needs, including digital performance measurement, customer journey analysis, and marketing effectiveness. While not embedded within a single function, the role plays a critical part in enabling these teams by delivering trusted, production-ready data that supports insight generation and decision-making across Pella.&nbsp;In this role, you will:&nbsp;<ul style="list-style-type: disc;"><li>Design, build, and maintain data pipelines that ingest data from digital, marketing, and enterprise systems into analytics platforms.&nbsp;</li><li>Develop and manage data models that support analytics, reporting, and downstream use cases across Digital, Marketing, and Pro CX teams.&nbsp;</li><li>Work closely with analysts, data scientists, and business partners to translate analytical requirements into scalable data solutions.&nbsp;</li><li>Implement data transformations, validations, and quality checks to ensure data is accurate, consistent, and production-ready.&nbsp;</li><li>Support analytics use cases by making data easily consumable for BI tools, dashboards, and advanced analytics.&nbsp;</li><li>Partner with technology teams and vendors to integrate new data sources and evolve existing pipelines.&nbsp;</li><li>Document data pipelines, models, definitions, and lineage to support data governance and reuse across the organization.&nbsp;</li><li>Contribute to the ongoing improvement of Pella’s analytics infrastructure, standards, and best practices.&nbsp;</li><li>Assist in enabling the Digital, Marketing, and Pro CX teams by ensuring analytics data aligns with customer journeys, digital tools, and measurement frameworks.&nbsp;</li></ul>&nbsp;QualificationsTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.&nbsp;Education and/or Experience&nbsp;<ul style="list-style-type: disc;"><li>3+ years of experience in data engineering, analytics engineering, or a related technical analytics role.&nbsp;</li><li>Strong experience working with BigQuery or comparable cloud data warehouse technologies.&nbsp;</li><li>Proficiency in Python for data transformation, automation, and pipeline development.&nbsp;</li><li>Working knowledge of R for analytical or statistical workflows is preferred.&nbsp;</li><li>Strong SQL skills, including complex joins, aggregations, and performance optimization.&nbsp;</li><li>Familiarity with digital and marketing data sources such as web analytics platforms, CRM systems, and advertising platforms.&nbsp;</li><li>Experience supporting analytics and BI tools such as Looker Studio and Power BI.&nbsp;</li><li>Understanding of data modeling concepts (e.g., star schemas, fact and dimension tables).&nbsp;</li><li>Experience collaborating with analysts and stakeholders to support data-driven decision-making.&nbsp;</li><li>Ability to clearly communicate technical concepts to both technical and non-technical audiences.&nbsp;</li></ul>&nbsp;Preferred Experience&nbsp;<ul style="list-style-type: disc;"><li>Experience with Google Analytics, Google Tag Manager, Salesforce, Fullstory, and other digital or customer data platforms.&nbsp;</li><li>Familiarity with data governance, documentation, and metadata management.&nbsp;</li><li>Exposure to cloud-based data ecosystems and modern analytics architectures.&nbsp;</li><li>Experience supporting cross-functional teams such as Digital, Marketing, Customer Experience, or E-commerce.&nbsp;</li></ul><h2>Company</h2><div>About Pella Corporation
As the #1 most-preferred national window and door brand by homeowners across the country, Pella Corporation leads the industry in innovation and design. Founded in 1925, today the Pella Family of Brands encompasses a robust product offering sold and installed through various channels. We are a growing, privately owned company with 20 manufacturing locations and over 10,000 team members in the U.S. and Canada. Pella is consistently recognized as a great place to work by Newsweek, Forbes and Glassdoor, having most recently been named to America’s Greatest Workplaces for Diversity by Newsweek in 2024, as well as Forbes' 2024 Best Employers for Women and Best-In-State Employer in Iowa. We have also received numerous accolades for innovation and design, including Fast Company’s Best Workplaces for Innovators in 2024 and Most Innovative Manufacturers for 2022 and 2023.
At Pella, our team cares deeply, learns continuously and achieves results that go beyond. We encourage creative thinking that seeks out and includes diverse perspectives. And we empower you to do the work you’re most proud of — that’s why we offer individualized talent development plans, cross-functional experiences and opportunities for career advancement through personal and professional development.
With talent just like you, we are imagining, building and fighting for a brighter future for generations to come. Ready to find a career that sparks your passion?</div>

Associate Data Engineer

3+ years in data/analytics engineering; strong SQL; BigQuery or similar data warehouse; Python; experience with digital/marketing data; BI tools (Looker Studio, Power BI).

ESSENTIAL DUTIES AND RESPONSIBILITIES: 
Data Architecture (≈70%) 
<ul>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Define and own enterprise data architecture across analytical, operational, and integration platforms </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Design logical, physical, and conceptual data models to support analytics, reporting, AI/ML, and operational use cases </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Establish and enforce data architecture standards, patterns, and best practices </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Design scalable cloud-based and hybrid data platforms (e.g., data lakes, lakehouses, warehouses) </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Partner with business, analytics, security, and application teams to translate requirements into data solutions </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Ensure data solutions align with security, governance, privacy, and compliance requirements </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Lead architecture reviews and provide technical guidance to data engineers and analytics teams </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Evaluate and recommend data technologies, tools, and platforms </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Ensure data governance, metadata management, data quality, and lineage initiatives </li>
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Data Engineering (≈30%) 
<ul>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="10" data-aria-level="1">Design and build robust data pipelines (batch and streaming) for ingestion, transformation, and delivery </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="10" data-aria-level="1">Develop and optimize ETL/ELT processes using modern data engineering frameworks </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="10" data-aria-level="1">Collaborate with engineers to implement architectural patterns in production systems </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="10" data-aria-level="1">Ensure pipelines are reliable, scalable, performant, and cost-efficient </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="10" data-aria-level="1">Troubleshoot data issues and optimize queries, storage, and processing </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="10" data-aria-level="1">Support CI/CD practices, automated testing, and monitoring for data workflows </li>
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EDUCATION, TRAINING, AND EXPERIENCE: 
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<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Bachelor's degree in computer science, Information Systems, Engineering, or equivalent experience </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">8+ years of experience in data architecture and/or data engineering roles </li>
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REQUIRED SKILLS: 
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<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Proven experience designing enterprise-scale Azure  </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Strong hands-on experience with:  </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Azure Data Lake Storage Gen2 </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Azure Synapse Analytics </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Azure Data Factory </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Azure Databricks or Microsoft Fabric </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Advanced SQL skills and experience with Python (preferred) </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Strong knowledge of data modeling, performance tuning, and cost optimization in Azure </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Experience integrating data from SaaS, on-prem, and cloud-based systems </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Ability to clearly communicate architectural decisions to both technical and non-technical stakeholders </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Background with Data Governance Framework </li>
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Preferred Skills: 
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<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559683":0,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"·","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Experience designing data architectures that support AI and machine learning workloads, including feature engineering, training, inference, and monitoring at scale. </li>
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TOOLS, EQUIPMENT, AND SOFTWARE: 
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<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Experience with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Power BI integration) </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Familiarity with Power BI semantic models and analytics consumption patterns </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Knowledge of Azure Purview / Microsoft Purview for data governance and lineage </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Experience with event-driven and streaming architectures in Azure </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Understanding of DataOps / DevOps practices in an Azure environment </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Experience supporting regulated or security-conscious enterprise environments  </li>
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WORKING CONDITIONS AND PHYSICAL REQUIREMENTS:  
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<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="1" data-aria-level="1">Primarily indoor work in an office environment requiring long periods of sitting  </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="1" data-aria-level="1">Frequent utilization of manual dexterity and visualizing of a computer screen  </li>
<li aria-setsize="-1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="1" data-aria-level="1">No unusual physical requirements  </li>
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Senior Data Architect

Data Architect

Bachelor's degree in CS/IS/Engineering or equivalent; 8+ years in data architecture/engineering; strong Azure data stack skills; experience with data governance and security.

We are driven to do more. More for our customers and the financial professionals who offer our products. If you are driven to do more and love the challenge of pursuing more, Athene is your kind of company. You will find we offer more than the basics to create an inclusive and dynamic work environment at our various locations.Purpose:Athene is accelerating its AI initiatives to transform how we serve our customers, agents, and business partners. As a leader in the insurance and annuities space, we are committed to leveraging advanced AI technologies including Generative AI, Agentic AI, and Machine Learning to drive innovation and deliver meaningful business impact. We’re hiring in our Strategy &amp; Innovation team, which leads Athene’s AI Strategy and experimentation efforts. Our work centers on shaping the enterprise AI vision and strategy, identifying high-value use cases, and running structured experiments that validate ideas quickly. You’ll join a small, collaborative group that partners closely with business units, IT, and Apollo to align priorities and ensure AI adoption moves forward in a coordinated, business-driven way. This is a high-impact role where you’ll help translate strategy into action, test new capabilities, and guide promising solutions toward implementation. As the Lead AI Engineer, you'll play a key role in shaping Athene's AI future through technical leadership in our experimentation initiatives, vendor evaluations, and strategic assessments.Accountabilities:<ul><li>Lead technical experimentation by designing and executing targeted, short-cycle tests to validate AI ideas and vendor tools before they move toward production.</li><li>Bridge technical gaps by translating complex AI concepts between business stakeholders and IT teams.</li><li>Assess AI readiness by evaluating data quality, accessibility, governance requirements, and technical infrastructure.</li><li>Develop strategic prototypes that demonstrate business value and highlight implementation considerations.</li><li>Support vision and blueprint development by contributing technical expertise to long-term AI direction-setting.</li><li>Evaluate vendor solutions with rigorous technical assessments of AI platforms and tools (e.g., Writer, Shelf, Glean, Claude).</li><li>Drive data strategy by identifying requirements, gaps, and integration needs across business units.</li><li>Document experiment findings through comprehensive technical documentation.</li><li>Partner across teams, working with business units, IT, and Apollo on readiness, governance, and validation activities.</li><li>Shape technical standards for AI experimentation, prompt engineering, data preparation, and evaluation methodologies.</li></ul> Qualifications and Experience:<ul><li>Bachelor’s degree in Computer Science, Engineering, Data Science, or related field, plus 7&#43; years of experience in AI, data science, or software engineering, including 2&#43; years building GenAI/LLM/Agentic AI solutions; advanced AI/ML certifications (AWS, DeepLearning.AI, etc.) highly desirable.</li><li>Deep expertise in GenAI frameworks and techniques (LangChain, RAG architectures, prompt engineering), modern LLMs (Claude, GPT-4o/5, Gemini), strong Python skills, and hands-on experience with AWS AI services (Bedrock, SageMaker, Lambda).</li><li>Experience designing targeted tests to validate technical hypotheses and business assumptions, evaluating AI platforms/tools against business and technical requirements, and ensuring data quality, integration, governance, and compliance in regulated environments.</li><li>Strong ability to translate business challenges into technical approaches, connect experimentation to broader strategic goals, and clearly communicate complex concepts to executives and technical specialists, with a proven track record of cross-functional collaboration.</li></ul>Drive. Discipline. Confidence. Focus. Commitment.  Learn more about <a target="_blank" href="https://www.athene.com/careers">working at Athene</a>.Athene is a Military Friendly Employer!  Learn more about how we support our <a target="_blank" href="https://www.athene.com/our-veterans">Veterans</a>.Athene is committed to inclusion and is proud to be an Equal Opportunity Employer.  We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, veteran status or any other status protected by federal, state or local law.

AI Engineer Lead

Lead AI experimentation, evaluate platforms, translate between business and IT, and drive data strategy.

We are driven to do more. More for our customers and the financial professionals who offer our products. If you are driven to do more and love the challenge of pursuing more, Athene is your kind of company. You will find we offer more than the basics to create an inclusive and dynamic work environment at our various locations.Purpose:Athene is seeking a technical leader to drive the direction and delivery of an AI-native, event-driven platform powering insurance workflows. This is a hands-on individual contributor role focused on designing and building distributed systems, ensuring production reliability, and advancing how AI is applied across the software development lifecycle. In this role, you will shape both the platform architecture and the engineering practices that support it, serving as a go-to technical leader and mentor. You will help establish a spec-driven, AI-augmented development approach that enables faster, higher-quality delivery on a scale.Accountabilities:What You’ll Own <ul><li>End-to-end platform architecture across workflow, document, intake, and data model services</li><li>Reliability and performance of business-critical production systems</li><li>Technical strategy, roadmap, and engineering standards</li><li>Adoption of AI-driven, spec-first development practices</li></ul><div></div>What You’ll Do<ul><li>Lead design and delivery of event-driven, distributed systems with a focus on simplicity and scalability</li><li>Establish and model spec-first, AI-augmented development workflows</li><li>Ensure production excellence through strong observability, incident response, and operational practices</li><li>Drive automation across testing, deployment, and operational processes</li><li>Mentor engineers and help scale team capabilities and standards</li></ul><div></div>How You Think<ul><li>Systems-oriented and pragmatic, balancing scale, reliability, and simplicity</li><li>Spec-first and AI-native in your development approach</li><li>Operator-minded, with a focus on production readiness</li><li>Focused on reducing complexity and enabling team effectiveness</li></ul> Qualifications and Experience:<ul><li>Bachelor’s degree in a related field or equivalent experience, with 6&#43; years of experience building and delivering software or data-driven solutions, including recent work applying AI in real-world use cases</li><li>Experience designing and operating complex, distributed systems at scale</li><li>Strong foundation in building reliable, secure, and well-observed production systems</li><li>Ability to define and drive technical direction while mentoring and guiding other engineers</li><li>Hands-on experience applying AI in development workflows, with a spec-driven approach to building and delivering solutions</li><li>Product-oriented mindset with the ability to rapidly iterate, test, and deliver business value</li><li>Focus on automation, simplicity, and long-term health</li><li>Strong communication skills, with the ability to align teams around technical decisions and architecture</li><li>Experience working in regulated or enterprise environments (preferred)</li></ul>Drive. Discipline. Confidence. Focus. Commitment.  Learn more about <a target="_blank" href="https://www.athene.com/careers">working at Athene</a>.Athene is a Military Friendly Employer!  Learn more about how we support our <a target="_blank" href="https://www.athene.com/our-veterans">Veterans</a>.Athene is committed to inclusion and is proud to be an Equal Opportunity Employer.  We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, veteran status or any other status protected by federal, state or local law.

Software Developer Lead

6+ years in software or data-driven solutions; distributed systems; AI in workflows; leadership; production reliability.

Berkley

Company Details:
<img style="display: block; margin-left: auto; margin-right: auto;" src="https://berkley.icims.com/icims2/servlet/icims2?module=AppInert&action=download&id=231239&hashed=-502980139" alt="bts 2022 USE THIS ONE" width="630" height="174" /> Company URL: https://www.berkleytechnologyservices.com/                                          Berkley Technology Services (BTS) is the dynamic technology solution for W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. With key locations in Urbandale, IA and Wilmington, DE, BTS provides innovative and customer-focused IT solutions to the majority of WRBC’s 60+ operating units across the globe. BTS’s wide reach ensures that ideas and opinions are considered at every level of the organization to guarantee we find the best solutions possible.   Driven by a commitment to collaboration, BTS acts as consultants to our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand, but proactively plan for the “What’s Next” in our industry and beyond.   With a culture centered on innovation and entrepreneurial spirit, BTS stands as a community of technology leaders with eyes toward the future -- leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine. BTS offers endless ways to get involved and have the chance to grow your career into a wide range of roles you'd never known existed. Come join us as we push forward into the future of industry leading technological solutions.   Berkley Technology Services: Right Team, Right Technology, Simple and Secure.  

Responsibilities:
 Job Description: Overall Position Summary / PurposeThe Manager, Engineering (Software & AI) is a hands‑on, solutions‑focused engineering leader responsible for leading cross‑disciplinary teams of data engineers and software / AI engineers. This working manager role balances people leadership with direct technical contribution and is accountable for delivering practical, high‑quality solutions within approved scope and timelines.Key Functions / Duties of Position<ul><li style="margin-bottom: 0in;">Lead and develop cross-functional teams of data, software, and AI engineers, overseeing engineering initiatives that deliver scalable, secure, and production-ready application, data, analytics, and AI solutions with a strong focus on Databricks and modern data platforms.</li><li style="margin-bottom: 0in;">Drive engineering programs from inception through execution, actively contributing as a hands-on manager in architecture, design, code reviews, and technical problem solving to ensure alignment with approved standards and timelines.</li><li style="margin-bottom: 0in;">Champion AI and data modernization strategies, translating business needs into executable solutions while proactively managing risks, dependencies, and tradeoffs across all engineering initiatives.</li><li style="margin-bottom: 0in;">Establish and reinforce engineering standards, monitor key metrics, and foster continuous improvement, talent development, and performance management across disciplines.</li><li style="margin-bottom: 0in;">Partner with senior leaders and stakeholders, clearly communicating progress and decisions to ensure business priorities are met.</li></ul>  

Qualifications:
Qualifications<ul><li style="margin-bottom: 0in;">3–10 years in software and/or data engineering, with proven leadership experience.</li><li style="margin-bottom: 0in;">Experienced in leading mixed teams of data, software, and AI engineers.</li><li style="margin-bottom: 0in;">Expertise in modern application architectures and solution patterns.</li><li style="margin-bottom: 0in;">Hands-on background designing and deploying AI/machine learning solutions in production.</li><li style="margin-bottom: 0in;">Strong grasp of applied machine learning: model training, evaluation, and iteration.</li><li style="margin-bottom: 0in;">Experience with generative AI and LLMs for real use cases, such as document processing and decision support.</li><li style="margin-bottom: 0in;">Practical knowledge of prompt engineering, grounding, and retrieval-augmented generation (RAG).</li><li style="margin-bottom: 0in;">Skilled at integrating AI into end-to-end application workflows.</li><li style="margin-bottom: 0in;">Extensive Databricks experience for data engineering, analytics, and AI solutions.</li><li style="margin-bottom: 0in;">Able to design/manage data pipelines and feature preparation for AI and analytics workloads.</li><li style="margin-bottom: 0in;">Understanding of data quality, governance, security, and lineage.</li><li style="margin-bottom: 0in;">Experience delivering AI solutions in enterprise or regulated settings, aware of privacy and responsible AI requirements.</li><li style="margin-bottom: 0in;">Proven ability to mentor and guide engineering teams toward practical, timely outcomes.</li><li style="margin-bottom: 0in;">Sound judgment balancing accuracy, speed, cost, and complexity in AI solutions.</li><li style="margin-bottom: 0in;">Experience in data modernization efforts utilizing Databricks.</li><li style="margin-bottom: 0in;">Proficient in Python and object-oriented programming.</li><li style="margin-bottom: 0in;">Demonstrated record of delivering business-focused solutions within timelines.</li><li style="margin-bottom: 0in;">Strong communication skills; effective with senior technical and business stakeholders.</li></ul>Education RequirementBachelor’s degree in a related field or equivalent experience. 

Additional Company Details:
The company offers a competitive compensation plan and robust benefits package for full time regular employees which for this role include:
• Base Salary Range: $127K-$165K
• Benefits: Health, Dental, Vision, Life, Disability, Wellness, Paid Time Off, 401(k) and Profit-Sharing plans.

Sponsorship Details:
Sponsorship not Offered for this Role

Manager, Engineering (Software & AI)

3–10 years in software and/or data engineering with proven leadership; Databricks and modern data platforms; AI/ML; Python; enterprise AI integration; strong communication with senior stakeholders.

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