Senior Data Engineer

DTE is one of the nation’s largest diversified energy companies. Our electric and gas companies have fueled our customer’s homes and Michigan’s progress for more than a century. And as Michigan’s largest source of renewable energy, we’re creating a cleaner, healthier environment to power our future. We’re also serving communities beyond Michigan, where our affiliated businesses offer renewable energy, emission control technologies, and energy services to industries in 19 states.

But we’re more than a leading energy company... and working at DTE is more than just a job. At DTE, we take great care of each other and our customers, and we use our energy to be a force for growth and prosperity in our communities. When you join us, you’ll be part of a team that welcomes, recognizes, and celebrates differences and values everyone’s health, safety, and wellbeing. Are you ready to make that kind of difference? Bring your energy to DTE. Together, we can achieve great things.

Not Applicable

This role is hybrid, with an established schedule of in-person work required at an assigned work location. Any remote work is expected to be performed from an employee’s primary residence, unless allowed (or prohibited) through the Company’s remote work guidelines.

Yes – Must be available to perform a primary assignment in support of DTE’s emergency response to storms or other events that impact service to our customers.

Leads data integration and analytics projects that support data collection, automation, transformation, storage, delivery, and reporting processes. Serves as senior advisor for a large business unit or enterprise-level data projects. Optimizes data retrieval and processing, including performance tuning, delivery design for downstream analytics, machine learning modeling (including feature engineering), and reporting. Mentors less-experienced team members. Span of control: 0; individual contributor.

- Leads data engineering projects and collaborates with stakeholders to formulate end-to-end solutions, including data structure design to feed downstream analytics, machine learning modeling, feature engineering, prototype development, and reporting

- Develops complex data sets and automated pipelines that support data requirements for process improvement and operational efficiency metrics

- Designs and implements data process pipelines in on-premise or Cloud platforms required for optimal extraction, transformation, and loading of data from multiple data sources

- Builds reporting and visualizations that utilize data pipeline to provide actionable insights into compliance rates, operational efficiency, and other key business performance metrics

- Designs and implements effective testing strategies for data pipelines and processing methods

- Deploys and automates Machine Learning Models in a data environment (e.g., SQL server, Cloud platform, on-premise servers and machines), including workflow orchestration, scheduling and advanced data processing implementation, and data delivery tools

- Educates leaders and other employees on complex data and analytical findings in basic terms and with storytelling and data visualization

- Researches and maintains industry best practices for data engineering practices and solutions

Minimum Education & Experience Requirements

This is a dual-track base requirement job; education and experience requirements can be satisfied through one of the following two options:

- Bachelor’s degree with emphasis on coursework of a quantitative nature (e.g., Computer Science, Mathematics, Physics, Data Science, Econometrics, etc.) and 6 years of experience working in a data engineering, data analytical or computer programming function; OR

- Master’s degree with emphasis on coursework of a quantitative nature (e.g., Computer Science, Mathematics, Physics, Data Science, Econometrics, etc.) and 4 years of experience working in a data engineering, data analytical or computer programming function

- PhD degree with emphasis on coursework of a quantitative nature (e.g., Computer Science, Mathematics, Physics, Data Science, Econometrics, etc.) and 2 years of experience working in a data engineering, data analytical or computer programming function

Other Qualifications

Preferred Qualifications:

- Experience optimizing database, Spark, and Databricks jobs for performance, reliability, and cost, and implementing CI/CD pipelines for data workflows (e.g., Azure DevOps, GitHub Actions).

- Strong business domain knowledge with the ability to translate business needs into scalable data and analytics solutions.

- Hands‑on experience with cloud platforms (Azure or AWS), including Databricks for scalable, distributed data pipelines.

Other Requirements

- Advanced programming proficiency in SQL and one or more general-purpose languages (e.g., Python, Java).

- Advanced experience building and supporting data pipelines for analytics, AI/ML, and GenAI use cases, including feature engineering and model‑ready datasets.

- Experience supporting data infrastructure for agentic AI systems, including autonomous workflows, tool‑using agents, and event-driven pipelines.

- Advanced proficiency with Big Data platforms, including data extraction, processing, and analytics connectivity.

- Advanced proficiency with business intelligence, data blending, and visualization tools (e.g., Microsoft Power Platform, Power BI).

- Demonstrated ability to establish and enforce data engineering best practices, including coding standards, architecture, data governance, security, lineage, and compliance.

- Strong analytical, problem‑solving, and communication skills, with the ability to select appropriate tools, recommend optimal solutions, and clearly explain complex concepts to non‑technical audiences.

Additional Information

Incumbents may engage in all or some combination of the activities and accountabilities and utilize a variety of the competencies cited in this description, depending upon the organization and role to which they are assigned. This description is intended to describe the general nature and level of work performed by incumbents in this job. It is not intended as an all-inclusive list of accountabilities or responsibilities, nor is it intended to limit the rights of supervisors or management representatives to assign, direct, and control the work of employees under their supervision.

At DTE Energy, we are committed to providing an inclusive workplace where everyone feels welcome and a sense of belonging. We seek individuals with a heart for service, a passion to help our communities prosper, and ideas to help shape the future of energy. We are proud to be an equal opportunity, employer that considers all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, age, religion, disability, national origin, citizenship, height, weight, genetic information, marital status, pregnancy, protected veteran status or any other status protected by applicable federal and/or state laws.