Senior Data Engineer (in person)

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