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

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Python Data Engineer Jobs

IDEXX

athenahealth

Unum Group

Hybrid

Onsite

When you join the team at Unum, you become part of an organization committed to helping you thrive.Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: <ul><li>Award-winning culture </li><li>Inclusion and diversity as a priority </li><li>Performance Based Incentive Plans</li><li>Competitive benefits package that includes: Health, Vision, Dental, Short &amp; Long-Term Disability </li><li>Generous PTO (including paid time to volunteer!) </li><li>Up to 9.5% 401(k) employer contribution </li><li>Mental health support </li><li>Career advancement opportunities  </li><li>Student loan repayment options </li><li>Tuition reimbursement</li><li>Flexible work environments </li></ul><h3></h3><h3>*All the benefits listed above are subject to the terms of their individual Plans.</h3>And that’s just the beginning…  With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! <h2>General Summary:</h2>We’re looking for a Senior Data Scientist passionate about using AI, ML, and LLMs to transform how organizations understand and optimize their workforce. This highly visible role sits at the intersection of advanced AI, scalable data engineering, and people analytics, partnering with senior HR and business leaders to deliver production‑grade solutions. You’ll architect intelligent systems—not just models—translate complex workforce data into actionable insights and help shape our AI roadmap. If you thrive in ambiguity, own end‑to‑end solutions, and want to influence talent strategy, organizational design, and employee experience, we’d love to talk.<h2>Job Specifications</h2><div><ul><li>Bachelor’s degree in a quantitative field required; advanced degree preferred.</li><li>Minimum of 6 years of relevant analytical or data science experience.</li><li>Demonstrated depth in multiple core data science disciplines (e.g., ML/statistics, data engineering, automation).</li><li>Advanced SQL and data modeling experience across complex data environments.</li><li>Proven ability to independently manage multiple initiatives and provide direction to others.</li><li>Strong written and verbal communication skills.</li><li>Experience working in regulated or complex operational environments preferred.</li><li>Demonstrated leadership capability and a track record of delivering high-impact analytical solutions.</li></ul><div><h2></h2><h2>Primary Responsibilities</h2><ul><li>Lead the development of advanced statistical, machine learning, and AI solutions that support strategic and operational decision-making.</li><li>Apply domain and business expertise to translate complex problems into well-defined analytical approaches and scalable solutions.</li><li>Design and oversee end-to-end data science workflows, including data extraction, validation, modeling, deployment, and performance monitoring.</li><li>Integrate data from multiple internal and external sources to produce modeling-ready datasets and reusable data assets.</li><li>Build predictive and prescriptive models to explain outcomes, forecast behavior, and identify risk or opportunity.</li><li>Play a lead role in embedding analytics and AI solutions into existing business processes through automation and system integration.</li><li>Partner with data engineering, IT, and business teams to ensure solutions meet architectural, security, and quality standards.</li><li>Provide technical leadership across data science initiatives, ensuring consistency with agreed-upon methodologies and quality attributes.</li><li>Communicate analytical results and implications clearly to leaders, enabling informed decision-making.</li><li>Coach and mentor less experienced data scientists; provide guidance on prioritization, approach, and technical execution.</li><li>Ensure adherence to responsible AI standards, including privacy, bias mitigation, and ethical use of employee data.</li><li>Maintain awareness of emerging analytics and AI techniques and evaluate applicability to enterprise use cases.</li></ul></div>#LI-AD1#LI-MULTI~IN1</div>Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person&#39;s race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.$89,400.00-$183,500.00Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short &amp; long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not.  All benefits are subject to the terms and conditions of individual Plans.Company:Unum

Senior Data Scientist - AI & People Analytics

Senior Data Scientist

Bachelor’s degree in a quantitative field; 6+ years data science; ML/statistics; data engineering; advanced SQL; leadership; communication; regulated environment experience preferred.

IDEXX&#39;s Data &amp; AI Center of Excellence is seeking an experienced Senior Machine Learning Engineer to join our AI Enablement Team. This role will focus on Engineering and Development activities in partnership with the Clinical and Generative AI Team.This is a hybrid role and will require you to be in the office 2 days per week.As a Senior Machine Learning Engineer, you will be responsible for the design, development, and implementation of machine learning models and systems for Clinical and Generative AI solutions. You will work at the intersection of Data Science, Machine Learning, and Software Engineering — developing, deploying, and maintaining machine learning model pipelines and systems that drive our products and services. Your role will involve hands-on engineering, technical contribution, and close collaboration with cross-functional teams.IDEXX Data and AI Center of Excellence (COE) develops and delivers data and AI assets and solutions to enhance IDEXX products, services, internal operations, and business practices. It is a large team of talented engineers, architects, data scientists, and analysts driving cutting-edge AI innovation in veterinary care. We create solutions that will shape the technological landscape of IDEXX as it builds innovative products and services for customers and employees.In This Role…Machine Learning Engineering<ul><li>Develop and implement scalable software and infrastructure solutions in support of model training, development, and production inference.</li><li>Collaborate with Product Teams and Data Scientists to analyze and clarify requirements, translating them into robust technical solutions.</li><li>Contribute to the scalability, performance, and reliability of applications, training, and inference workflows.</li><li>Design and implement data pipelines to support machine learning workflows.</li><li>Participate in code reviews to ensure high-quality code and adherence to best practices in machine learning and software engineering.</li><li>Apply software design patterns and contribute to architectural discussions.</li><li>Demonstrate initiative by identifying and applying innovative approaches to a variety of ML engineering challenges.</li></ul>Collaboration and Development<ul><li>Contribute to the design and development of an AI Development Platform, supporting the adoption of AI capabilities throughout the enterprise.</li><li>Work closely with Data Engineering and DevOps to build robust processing workflows and pipelines.</li><li>Partner with technical product management and engineering teams to identify reusable datasets, design patterns, components, libraries, and infrastructure that optimize costs and enable cross-functional solutions.</li><li>Balance cost, time, and technical capabilities when implementing solutions that meet stakeholder requirements.</li></ul>Mentorship and Teamwork<ul><li>Share knowledge and provide technical guidance to junior team members, contributing to a culture of learning and continuous improvement.</li><li>Contribute to team initiatives and drive assigned workstreams to successful and timely completion.</li><li>Operate with a high degree of independence on well-defined problems while escalating ambiguous or high-impact decisions appropriately.</li></ul>What You Need to Succeed…<ul><li>Strong programming skills in Python, with proficiency in additional languages.</li><li>Solid experience designing and building scalable data processing and ML applications.</li><li>Sound software engineering practices, including test-driven development and CI/CD.</li><li>Strong understanding of AI/ML concepts and hands-on experience deploying models in production environments.</li><li>Familiarity with ML tech stacks such as Databricks, Delta Tables, AWS (EC2, S3, SageMaker), and containerization tools like Docker.</li><li>Working knowledge of data engineering (SQL, NoSQL, Big Data), cloud architecture, Agile methodologies, and MLOps/ModelOps practices.</li><li>Experience with DevOps practices and designing resilient, scalable data systems.</li><li>Strong analytical and problem-solving skills, with the ability to adapt to evolving technologies.</li><li>Good communication skills to collaborate effectively with data scientists, engineers, and stakeholders.</li></ul>What you can expect from us:  <ul><li>Competitive Salary</li><li>Opportunity for annual cash bonus </li><li>Health / Dental / Vision Benefits Day-One </li><li>5% matching 401k </li><li>Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, and much more </li></ul>Why IDEXX?We’re proud of the work we do because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a global workforce of over 10,000 talented people.So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement.Let’s Pursue What Matters.IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBT individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.While we appreciate our staffing partners, we are unable to accept unsolicited agency resumes.#LI-KS1

Senior Machine Learning Engineer

Python programming, scalable ML apps, CI/CD, ML production deployment; Databricks, AWS, Docker; data engineering, cloud architecture, MLOps; strong communication and problem-solving.

You will join the Diagnostic Assay Instrument Integration Development System purpose of this internship is to expand and scale assay menu capabilities on a diagnostic assay development system, comprised of robotics and instrumentation. The intern will support integration of new assay sequences into the system and develop backend data processing and visualization tools to improve workflow efficiency, data visibility, and scalability.Timeframe: June 1 to August 7, full time (40 hrs/week) or full time, with possible longer-term opportunities. This role is in-person in Westbrook, Maine. To qualify for our program, you must be actively enrolled as a student beyond the summer program.Goals to accomplish:<ul><li>Coordinate with cross-functional engineers to understand assay requirements and translate them into executable machine sequences</li><li>Program and validate new assay workflows on the development system using Inductive Automation’s Ignition HMI</li><li>Develop automated backend data processing pipelines using Python</li><li>Create data visualization tools to improve insight into assay performance and reagent lot-to-lot variation using Python and/or JMP statistical methods</li><li>Improve or extend the Ignition HMI to support new workflows</li><li>Document processes and train assay/operations teams on new tools and workflows</li></ul>Desired Skills: Applicants will ideally have:<ul><li>Experience in instrument control or robotics with a focus on embedded systems</li><li>Experience using version control tools (e.g., Git/GitHub)</li><li>Proficiency in Python</li><li>Strong technical documentation and communication skills</li><li>Experience working with laboratory instrumentation, automation systems, or data acquisition workflows</li><li>Experience with statistical data analysis (JMP)</li><li>Familiarity with Ignition (SCADA / UI development)</li></ul>Things you will learn:<ul><li>Systems-level approach to assay development and characterization</li><li>Translating assay requirements into automated machine workflows</li><li>Backend data automation and visualization tool development</li><li>Working within a cross-functional engineering environment</li><li>Fundamentals of assay characterization and slide-based analyzer systems</li><li>Practical application of software development in a regulated laboratory environment</li></ul>What you can expect from us:  <ul><li>Salary is $25.00/hr</li><li>Start contributing to a 401k </li></ul>Why IDEXX:We’re proud of the work we do because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a global workforce of over 10,000 talented people.So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement.Let’s pursue what matters together.IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ&#43; individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.While we appreciate our staffing partners, we are unable to accept unsolicited agency resumes.#LI-CAG

Diagnostic Assay Instrument Integration Development System Intern

Internship in diagnostic assay instrument integration; strong Python, version control, and data visualization skills; experience with laboratory instrumentation or robotics a plus.

Wexinc

As WEX continues to scale its Data-as-a-Service (DaaS) platform, the Data Acquisition Team plays a critical role in enabling secure, scalable, and reliable ingestion of data from hundreds of internal systems and external sources.We are looking for a hands-on Senior Manager, Software Engineering - Data Acquisition to lead and manage a team responsible for acquiring, ingesting, and processing high-volume, diverse data. This role requires a strong leader with deep technical expertise in data pipelines, distributed systems, and cloud architecture, who can drive technical excellence, foster a culture of innovation, and align the data acquisition strategy with overall business goals.Responsibilities:<ul><li>Leadership &amp; Management: Lead, mentor, and manage software engineers focused on data acquisition. Foster a high-performing, collaborative, and inclusive team culture. Conduct performance reviews, manage career development, and hire top engineering talent.</li><li>Strategy &amp; Vision: Execute the technical roadmap and strategy for all data acquisition pipelines and systems. Ensure the infrastructure is scalable, reliable, secure, and cost-effective to handle ever-increasing data volumes and velocity.</li><li>Technical Oversight: Provide technical guidance and oversight on the design, development, deployment, and maintenance of critical data ingestion frameworks, APIs, and services. Ensure adherence to best practices in software engineering, data governance, and data quality.</li><li>Cross-functional Collaboration: Work closely with product management, data science, data governance, and other engineering teams to understand data needs and deliver solutions that meet business requirements.</li><li>Process Improvement: Drive continuous improvement in engineering processes, tools, and methodologies (e.g., CI/CD, automation, monitoring, alerting).</li><li>Operational Excellence: Ensure high availability and performance of all data acquisition systems, leading incident response and root cause analysis for any major outages.</li><li>Budget &amp; Resource Management: Manage budget, resources, and capacity planning for the data acquisition organization.</li></ul>Qualifications:<ul><li>Education: Bachelor&#39;s or Master&#39;s degree in Computer Science, Engineering, or a related technical field.</li><li>Experience: 10&#43; years of experience in software engineering, with at least 5&#43; years in a management role overseeing software engineering or data acquisition teams.</li><li>Experience in leading virtual teams is highly desirable</li><li>Technical Expertise:<ul><li>Deep expertise in building and managing high-volume, real-time and batch data pipelines (e.g., Kafka, Kinesis, Pulsar).</li><li>Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and experience designing scalable, serverless, or containerized data ingestion architectures (e.g., Kubernetes, EKS/AKS/GKE).</li><li>Strong knowledge of various data sources, integration patterns (APIs, web scraping, messaging queues), and ETL/ELT tools.</li><li>Expertise in programming languages such as Java, Python, Scala, or Go.</li><li>Solid understanding of database technologies (SQL, NoSQL, Data Warehouses like Snowflake, Redshift, etc.).</li></ul></li><li>Leadership Skills: Proven ability to lead, motivate, and manage multiple distributed teams. Excellent communication, presentation, and interpersonal skills.</li><li>Problem Solving: Strong analytical and problem-solving skills, with the ability to define solutions for complex technical challenges.</li></ul>The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $150,600.00 - $180,100.00

Senior Manager, Software Engineering - Data

10+ years software engineering; 5+ years in management; cloud, data pipelines, distributed systems expertise; leadership and strategic execution.

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.Position Summary: As an Analytics Senior Associate, you will be a hands-on builder who helps transform ideas into production-ready tools. Working closely with an Analytics Manager, you will contribute to projects end-to-end, developing dashboards, web applications, and automated data checks that give stakeholders answers in minutes instead of days. The role follows an office-first hybrid model and requires &lt; 10 percent travel.About the Team: Product Operations is streamlining every stage of the Product Lifecycle by automating manual tasks, tightening data quality, and speeding up insight delivery. Essential Job Responsibilities:50% - Maintain, Analyze, and Execute on Analytics Based Projects<ul><li>Prototype, refine, and deploy automated analytics pipelines powered by OpenAI, Azure OpenAI, Claude, or Gemini; auto-generate analyses, stakeholder summaries, and enriched metadata with zero manual touch </li></ul><ul><li>Design retrieval-augmented generation pipelines where needed, and publish dashboards that blend fresh metrics with concise narrative commentary </li></ul><ul><li>Track accuracy, response time, and cost per insight; roll out incremental, data-driven improvements that keep raising quality while controlling spend </li></ul>30% - Project Execution and Stakeholder Support<ul><li>Meet with product owners, engineers, and operations partners to translate business questions into technical requirements. </li></ul><ul><li>Plan sprints, manage Jira tasks, and hit deadlines with minimal oversight, flagging risks early and often. </li></ul><ul><li>Provide best-practice guidance on data modeling, visualization, and prompt engineering, so stakeholders get maximum value from every deliverable. </li></ul><ul><li>Document solutions thoroughly and deliver knowledge-transfer sessions to ensure long-term adoption. </li></ul>20% - Process Improvement and Knowledge Sharing<ul><li>Review current team and wider Product Operations workflows to pinpoint friction and redundancy. </li></ul><ul><li>Draft detailed proposals that show how AI automations or data-model tweaks will save time and improve accuracy; present findings to leadership for buy-in. </li></ul><ul><li>Build quick-start guides, lunch-and-learn decks, and short video demos so colleagues can confidently use new tools. </li></ul><ul><li>Stay on top of emerging Snowflake Cortex and Windsurf capabilities, experimenting early and socializing wins across the team. </li></ul>Knowledge &amp; Skills:  <ul><li>Excellent communicator, thoughtful team player, highly adaptive, and a strong sense of personal integrity </li></ul><ul><li>Proven track record building with GPT, Gemini, Claude or similar; prompt-engineering best practices; experience evaluating hallucination, bias, and safety. </li></ul><ul><li>Strong SQL, Snowflake, Power BI/Tableau; ability to weave model outputs directly into dashboards and data products. </li></ul><ul><li>Familiarity with Python, PowerShell, or JS for orchestrating APIs, vector databases, and CI/CD; enthusiasm for turning ad-hoc analysis into repeatable, self-service tooling. </li></ul><ul><li>Capable of framing complex AI concepts in plain language; excels at stakeholder storytelling and change management. </li></ul><ul><li>Comfortable designing rapid A/B tests, establishing offline/online evaluation metrics, and iterating quickly. </li></ul><ul><li>Can codify new processes, create training assets, and mentor teams to adopt AI-augmented workflows. </li></ul><ul><li>Willingness to learn and expand knowledge every day through independent learning and digging into challenging problems </li></ul><ul><li>Passionate about contributing to teams and developing solutions for others to follow.  </li></ul><ul><li>Able to intake business questions, identify solutions, and assist operational teams with execution to achieve goals </li></ul><ul><li>Ability to build strong cross-functional relationships; excited about working with others through change.  </li></ul><ul><li>Professional attitude – comfortable working in a corporate setting populated by diverse types of people  </li></ul><ul><li>Proven ability to influence without authority—guiding senior level stakeholders through data backed recommendations. </li></ul><ul><li>Bias toward action, curiosity, and self-directed learning. </li></ul>Education &amp; Experience <ul><li>3 to 5 years of professional analytics or data-engineering experience in a corporate environment. </li></ul><ul><li>At least 1 year writing production Python or R. </li></ul><ul><li>Hands-on exposure to Natural Language Processing or Large Language Models, either in coursework or live deployments. </li></ul><ul><li>Experience designing stakeholder-facing dashboards and maintaining scalable API integrations is highly valued. </li></ul> Expected Compensation$73,000 - $125,000The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates.  Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans. <div><div><div><div><div><div><div><div><div>About athenahealthOur vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.Our company culture: Our talented  employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That&#39;s one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.What we can do for you:Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative  workspaces  — some offices even welcome dogs.We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued. Learn more about our culture and benefits here: athenahealth.com/careers  <a href="https://www.athenahealth.com/careers/equal-opportunity" target="_blank">https://www.athenahealth.com/careers/equal-opportunity</a></div></div></div></div></div></div></div></div></div>

Product Analytics, Senior Associate

Product Analytics Senior Associate

3-5 years analytics/data engineering in a corporate setting; strong SQL, Snowflake; experience with Python; familiarity with NLP/LLMs; dashboarding.

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