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
SEP is a software product design and development company located in Westfield, IN. We provide powerful teams of thoughtful developers and designers to bring ideas to life. Founded in 1988, SEP is one of Indiana’s largest software development firms with 180 employees. Our clients span from Fortune 100 to scale-up companies. We are 100% employee-owned through an ESOP and are consistently recognized for our great culture (Top Workplaces, Best Place to Work in Indiana, Techpoint Mira Exceptional Employer).
We are an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
