Data is only as powerful as the foundation beneath it. At SEP, we're building that foundation — and we're looking for a Senior Data Engineer who's ready to lead the way.
We've been partnering with companies to build software that matters since 1988. From Fortune 100 enterprises to fast-moving scale-ups, our clients depend on us to tackle complexity, deliver with craft, and stay engaged through every stage of the work. Now, we're growing our data practice — and we want someone who's as excited about clean, connected, trustworthy data as we are.
What we have to offer
Variety on every axis — tools, technologies, market sectors, methodologies Flexible, reasonable work schedules Extensive opportunities to learn and develop yourself A community of friendly, talented, and effective peers Opportunities to try out different roles with minimal risk Gorgeous facilities
What you'll be doing
Provide technical direction on data engagements and mentor other engineers Design and implement data pipelines and transformations (batch and streaming) Develop data models for analytics use cases Implement data quality checks and testing strategies for pipelines Configure and manage orchestration and workflow tooling Build and maintain infrastructure as code for data platforms Translate architectural direction into implementation plans Communicate progress, risks, and technical tradeoffs to stakeholders Support client meetings in a technical capacity
Key attributes for applicants
A passion for great products, software development, and learning Expert-level SQL skills with strong proficiency in Python; experience with Spark, Scala, R, or C# is a plus Deep expertise in data pipeline development, including batch and streaming patterns Solid understanding of data modeling patterns for analytics (dimensional modeling, data vault, lakehouse architectures) Experience with cloud data platforms — Azure preferred, AWS experience also valued Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift Understanding of orchestration and workflow management (Apache Airflow, Databricks Workflows, Temporal, or similar) Experience with data quality frameworks and testing strategies for pipelines Familiarity with infrastructure as code tooling (Terraform, ARM/Bicep) and CI/CD pipelines (GitHub Actions or similar) is a plus Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog, Microsoft Purview) is a plus Ability to evaluate architectural tradeoffs in data systems (OLAP vs. OLTP, batch vs. streaming, warehouse vs. lakehouse) Comfortable with ambiguity; can clarify requirements through conversation Interest in mentoring and developing less experienced engineers Professional data engineering experience (8+ years desired) Must be legally authorized to work in the United States Must not require visa sponsorship or have work authorization based on OPT or CPT Must be able to work from our office in Westfield, IN without relocation financial assistance 