The Role
Lead design and implementation of batch and streaming data pipelines, build data models, implement data quality and testing, manage orchestration and IaC, mentor engineers, and communicate technical direction and tradeoffs to stakeholders.
Summary Generated by Built In
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
Skills Required
- Expert-level SQL skills
- Strong proficiency in Python
- Experience with Spark, Scala, R, or C#
- Deep expertise in data pipeline development (batch and streaming)
- Solid understanding of data modeling patterns for analytics (dimensional modeling, data vault, lakehouse)
- Experience with cloud data platforms (Azure preferred, AWS 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)
- Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog, Microsoft Purview)
- Ability to evaluate architectural tradeoffs in data systems (OLAP vs OLTP, batch vs streaming, warehouse vs lakehouse)
- Ability to provide technical direction and mentor other engineers
- Comfortable with ambiguity and able to clarify requirements through conversation
- 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 the SEP office in Westfield, IN without relocation financial assistance
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The Company
What We Do
SEP makes software that matters more. Powerful teams of thoughtful, full-stack developers and designers craft software that keeps planes in the sky, helps farmers feed a growing population, and makes medical devices safe. The kind where “good enough” doesn’t cut it. Founded in 1988, SEP is one of Indiana’s largest software development firms with nearly 150 employees. Clients span from Fortune 100 to scale-up companies. The company is 100 percent employee-owned through an ESOP and is consistently recognized for its great culture (Top Workplaces, Best Place to Work in Indiana, Techpoint Mira).
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