Explore 2 python data engineer jobs from 2 hiring companies in Central, TN, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-data-engineer

Python Data Engineer

Ripley

Dyersburg

Blytheville

Covington

Brownsville

Jackson

Bartlett

Ellendale

Cordova

Arlington

Atoka

Lakeland

Millington

Osceola

Kennett

Humboldt

Halls

Caruthersville

Munford

Python Data Engineer Jobs

Brother International Corporation

Ring Container Technologies

Hybrid

Onsite

<h2>Position Overview</h2><p>The Data Engineer - Business Intelligence Architect is a hands-on technical leader responsible for end-to-end ownership of the enterprise data pipeline and analytics layer.  This includes ingesting and transforming raw data, and designing, building, and optimizing enterprise analytics solutions. This role combines deep technical execution with architectural ownership, modern data modeling, and advanced analytics.</p><p></p><p>The role bridges data engineering and business intelligence architecture, ensuring that data is not only available and reliable, but also well-modeled, governed and consumable for decision making across the organization. </p><h2></h2><h2>Key Responsibilities</h2><ul><li>Design, build, and maintain end-to-end BI and analytics solutions, data engineering pipelines, semantic models, and BI tools.</li><li>Provide hands-on support for the existing analytics environment (SQL Server, SSIS, SSAS, SSRS, Power BI) while planning and executing phased migrations to new platform.</li><li>Balance run-the-business BI support with platform modernization initiatives.</li><li>Identify, prioritize, and refactor legacy BI assets for migration or coexistence with new platform solutions.</li><li>Serve as a technical lead, actively contributing code while collaborating on architectural direction and best practices.</li><li>Architect and optimize data ingestion, transformation, and orchestration pipelines.</li><li>Build and maintain enterprise semantic layers and dimensional models.</li><li>Mentor BI developers through hands-on guidance, code reviews, and technical coaching.</li><li>Diagnose and resolve performance, reliability, and data quality issues across legacy and Fabric platforms.</li></ul><h2></h2><h2>Required Skills &amp; Qualifications</h2><ul><li>Strong analytical and systems thinking mindset</li><li>Ability to translate business questions into scalable data and BI solutions</li><li>Expert-level experience designing and building enterprise BI solutions.</li><li>Hands-on experience with Microsoft Fabric or Databricks and hybrid BI architecture.</li><li>Strong proficiency in SQL Server, SSIS, SSAS, SSRS, and Power BI.</li><li>Advanced SQL development and performance tuning skills.</li><li>Deep understanding of data warehousing, lakehouse architecture, and dimensional modeling.</li><li>Exposure to ERP systems and complex enterprise data environments.</li><li>Strong communication skills and ability to work directly with business stakeholders.</li></ul><h2></h2><h2>Preferred / Plus Qualifications</h2><ul><li>Python skills for analytics, automation, and data processing.</li><li>Experience with machine learning or predictive analytics in a BI context.</li><li>Experience with Microsoft Fabric</li><li>Familiarity with modern ML frameworks and model integration.</li><li>Experience with Azure-based analytics services and enterprise data integration.</li></ul><h2></h2><h2>Education &amp; Experience</h2><ul><li>Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.</li><li>7&#43; years of experience in BI, analytics, or data platform development.</li><li>3&#43; years in a senior, lead, or architect-level role with significant hands-on responsibilities.</li></ul>

Data Engineer-BI Architect

Data Engineer - BI Architect

Design end-to-end BI/data pipelines; hands-on with SQL Server, Power BI, Fabric/Databricks; 7+ years BI/data platform experience; senior/architect-level.

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<p>The <strong>Senior Manager, Data Integrations Lead</strong> is responsible for leading the strategy, design, and delivery of enterprise‑scale data integrations across cloud, SaaS, and core business platforms. This role ensures the reliable, secure, and scalable movement of data across ERP, CRM, eCommerce, and modern data platforms to support critical business operations, analytics, and digital initiatives.</p><p> </p><p>The position partners closely with architecture, engineering, governance, and business stakeholders to deliver high‑quality, governed integration solutions while leading teams and driving adoption of modern integration patterns and best practices.</p>

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<p><strong><span style="box-sizing: border-box; text-decoration: underline;">Data Integration Strategy & Architecture</span></strong></p><ul><li style="list-style-type: none;"><ul><li>Define and own the enterprise data integration strategy, standards, and reference architectures</li><li>Design scalable integration patterns (batch, near real time, event driven, streaming)</li><li>Establish integration best practices across ERP, CRM, eCommerce, and data platforms</li><li>Partner with Enterprise Architecture to ensure alignment with platform, cloud, and application strategies</li></ul></li></ul><p style="list-style-type: none;"><strong><span style="box-sizing: border-box; text-decoration: underline;">Integration Delivery & Execution</span></strong></p><ul><li style="list-style-type: none;"><ul><li>Lead end‑to‑end delivery of complex data ingestion and integration pipelines</li><li>Oversee development, orchestration, and support of integrations across multiple source and target systems</li><li>Ensure reliability, scalability, performance, and operational stability of integrations</li><li>Drive adoption of reusable integration frameworks, APIs, and automation</li></ul></li></ul><p style="list-style-type: none;"><strong><span style="box-sizing: border-box; text-decoration: underline;">Platform & Technology Leadership</span></strong></p><ul><li style="list-style-type: none;"><ul><li><strong>Lead integrations across multiple platforms including</strong>: SAP S/4HANA (SAP Datasphere, SAP Integration Suite), Salesforce (Commerce Cloud, Sales/Service Cloud, Data Cloud, Marketing Cloud), Azure Integration Services (Logic Apps, Data Factory, API Management, Event‑driven services), Databricks and modern lake house architectures, Cloud Storage (Azure Blob, SFTP), and Analytics & BI tools (Tableau, Power BI)</li><li><strong>Pattern Selection</strong>: Decide when to use ETL vs. ELT, or moving the organization toward Event-Driven Architecture (streaming)</li><li><strong>Observability: </strong>Lead the implementation of Data Contracts and automated monitoring to catch "breaking changes" from upstream source systems before they hit the warehouse</li><li><strong>CI/CD for Data:</strong> Establish the automation for testing and deploying integration code to minimize downtime</li><li><strong>Lineage & Metadata:</strong> Ensure every integration has clear lineage mapping, allowing the business to trace any data point back to its original source</li><li><strong>Security by Design</strong>: Lead the implementation of masking, hashing, and encryption of PII (Personally Identifiable Information) as it flows through the pipelines</li></ul></li></ul><p style="list-style-type: none;"><strong><span style="box-sizing: border-box; text-decoration: underline;">Collaboration, Leadership, Stakeholder & Vendor Management</span></strong></p><ul><li style="list-style-type: none;"><ul><li>Lead and mentor onshore and offshore integration and data engineering teams</li><li>Collaborate with Product Owners, Business Leaders, and Technology stakeholders</li><li>Communicate risks, dependencies, and progress to senior leadership and governance forums</li><li>Ensure SDLC deliverables are met and enforced</li><li>Manage delivery partners and vendors to ensure alignment with enterprise standards</li><li>Participate and provide recommendations in IT related initiatives and meetings</li></ul></li></ul><ul><li style="list-style-type: none;"> </li></ul>

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<p><span style="text-decoration: underline;"><strong>Education </strong></span></p><ul><li style="list-style-type: none;"><ul><li>Bachelor's Degree Engineering, Information Technology or related field </li></ul></li></ul><p><span style="text-decoration: underline;"><strong>Experience </strong></span></p><p>Minimum 8 years</p><ul><li style="list-style-type: none;"><ul><li>A combination of experience spanning the following areas: Experience with Data & Cloud Platforms; Extensive hands-on experience with cloud providers like Azure (Databricks, Synapse); Experience designing & maintaining complex ETL/ELT pipelines using various cloud tools; Experience designing scalable Data Lakehouse or Data Fabric architectures and expertise in dimensional modeling (Star/Snowflake schemas)</li></ul></li></ul><p><span style="text-decoration: underline;"><strong>Licenses and Certifications</strong></span></p><ul><li style="list-style-type: none;"><ul><li>Azure Data Engineer (Preferred)</li></ul></li></ul><p><strong><span style="text-decoration: underline;">Software/Technical Skills</span></strong></p><ul><li style="list-style-type: none;"><ul><li>Knowledge of Python, SQL, and Spark/PySpark (Advanced) </li><li>Knowledge of Microsoft Office Applications (Advanced) </li><li>Knowledge of Pipeline Orchestration (Advanced) </li><li>Knowledge of Azure iPaaS, Data warehouse, Business Intelligence Azure Data lake. Logic apps, SAP BTP (Advanced)</li><li>Knowledge of Data Processing & Languages (Intermediate)</li><li>Knowledge of Architecture & Modeling (Intermediate) </li><li>Knowledge of Java or Scala (Intermediate) </li></ul></li></ul><p><strong><span style="text-decoration: underline;">Other Skills/Knowledge/Abilities</span></strong></p><ul><li style="list-style-type: none;"><ul><li>Ability to mentor, coach, and develop internal and external stakeholders</li><li>Ability to successfully lead teams and drive data & reporting IT initiatives from concept to launch</li><li>Excellent communication, negotiation, and interpersonal skills, with the ability to build rapport and influence stakeholders at all levels of the organization</li><li>Strategic thinking skills with a results-oriented mindset and a focus on driving continuous improvement and innovation</li><li>Strong analytical and problem-solving skills, with the ability to translate complex business requirements into actionable product solutions</li><li>Project management skills, with the ability to manage multiple large projects at once</li></ul></li></ul>

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<p><br>This role will be a hybrid role. Subject to business needs, employees may work remotely up to two days per week. Assigned office days will be determined by your manager. #LI-Hybrid</p><p> </p><p> </p><p><span style="text-decoration: underline;"><strong>Base Salary </strong></span></p><ul style="list-style-type: initial;"><li style="list-style-type: none;"><ul style="list-style-type: circle;"><li>The targeted base salary range for this position if based in <strong>TN </strong>will be $120,000 - $140,000 per year.</li><li>The targeted base salary range for this position if based in <strong>NJ </strong>will be $160,000 - $180,000 per year.</li><li>Base salary is determined by the education, experience, knowledge, skills, and abilities of the successful candidate, as well as factors such as internal equity, cost of labor in the hiring location, and alignment with market data. </li></ul></li></ul><p><span style="text-decoration: underline;">Additional Compensation</span></p><ul style="list-style-type: initial;"><li style="list-style-type: none;"><ul style="list-style-type: circle;"><li>This position is eligible for a <strong>20%</strong> bonus at 100% of target, with the opportunity to achieve above 100% dependent on company performance and in alignment with company bonus plans.</li><li>Bonus awards are discretionary and contingent upon individual performance as well as Brother achieving its corporate objectives, in accordance with the applicable bonus plan in effect. </li></ul></li></ul><p> </p>

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Senior Manager, Data Integrations Lead

8+ years in data integration/engineering with cloud platforms; leadership experience; strong Azure/ETL/ELT, SAP/CRM exposure; excellent stakeholder management.

Python Data Engineer Jobs in Central, TN, US | HiringCafe: every job on earth

Python Data Engineer Jobs in Central, TN, US

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