Senior Data EngineerData 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 offerVariety on every axis — tools, technologies, market sectors, methodologiesFlexible, reasonable work schedulesExtensive opportunities to learn and develop yourselfA community of friendly, talented, and effective peersOpportunities to try out different roles with minimal riskGorgeous facilitiesWhat you'll be doingProvide technical direction on data engagements and mentor other engineersDesign and implement data pipelines and transformations (batch and streaming)Develop data models for analytics use casesImplement data quality checks and testing strategies for pipelinesConfigure and manage orchestration and workflow toolingBuild and maintain infrastructure as code for data platformsTranslate architectural direction into implementation plansCommunicate progress, risks, and technical tradeoffs to stakeholdersSupport client meetings in a technical capacityKey attributes for applicantsA passion for great products, software development, and learningExpert-level SQL skills with strong proficiency in Python; experience with Spark, Scala, R, or C# is a plusDeep expertise in data pipeline development, including batch and streaming patternsSolid understanding of data modeling patterns for analytics (dimensional modeling, data vault, lakehouse architectures)Experience with cloud data platforms — Azure preferred, AWS experience also valuedFamiliarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or RedshiftUnderstanding of orchestration and workflow management (Apache Airflow, Databricks Workflows, Temporal, or similar)Experience with data quality frameworks and testing strategies for pipelinesFamiliarity with infrastructure as code tooling (Terraform, ARM/Bicep) and CI/CD pipelines (GitHub Actions or similar) is a plusExperience with analytics engineering tools like dbt and data catalog tools (Unity Catalog, Microsoft Purview) is a plusAbility to evaluate architectural tradeoffs in data systems (OLAP vs. OLTP, batch vs. streaming, warehouse vs.
lakehouse)Comfortable with ambiguity; can clarify requirements through conversationInterest in mentoring and developing less experienced engineersProfessional data engineering experience (8+ years desired)Must be legally authorized to work in the United StatesMust not require visa sponsorship or have work authorization based on OPT or CPTMust be able to work from our office in Westfield, IN without relocation financial assistanceSEP 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