Data Engineer (in person)
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Before you apply
LocationWestfield, IN
Work modeon-site
Typefull-time
SeniorityMid
Experience2+ yrs
DepartmentData
Company size51–200 people
PostedMay 21, 2026 · 5mo ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on May 21, 202686% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
A passion for great products, software development, and learning
Strong SQL skills with working proficiency in Python
Practical experience in data pipeline development, ideally in both batch and streaming patterns
Understanding of data modeling patterns for analytics (dimensional modeling, normalized data models, lakehouse concepts)
Hands-On experience with at least one cloud data platforms (Azure preferred, AWS and GCP experience also valued)
Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift
Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows, Temporal, or similar)
Experience writing tests and data quality checks for pipelines
Applies software engineering best practices to data engineering (source control, automated testing, code review, CI/CD)
Comfortable with ambiguity; can clarify requirements through conversation
Interest in mentoring and developing less experienced engineers
Professional data engineering experience (2+ years desired)
Experience with Spark, Scala, R, or C# is a plus
Exposure to 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
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
Skills
SQL
Python
Spark
Scala
R
C#
Azure
AWS
GCP
Databricks
Snowflake
Microsoft Fabric
Redshift
Apache Airflow
Databricks Workflows
Temporal
Terraform
ARM/Bicep
GitHub Actions
dbt
Unity Catalog
Microsoft Purview
About the role
SEP is looking for a data engineer to join our growing data practice and deliver data solutions for our clients. We’ve been helping companies build great software products since 1988 in a wide range of industries and technologies, and more and more of these products are powered by data. Our clients want us to apply the same engineering rigor we bring to software development to their data pipelines and data platforms. You’ll spend your days building, testing, and shipping data systems that real clients depend on.
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
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A community of friendly, talented, and effective peers
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Opportunities to try out different roles with minimal risk
•
Gorgeous facilities
What you’ll be doing
•
Build and maintain data pipelines and transformations (batch and streaming)
•
Implement data models for analytics use cases
•
Write data quality checks and tests for data pipelines
•
Configure orchestration and workflow tooling to support delivery
•
Implement infrastructure as code for data platforms
•
Investigate and resolve pipeline failures and performance issues
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Participate in peer code review and contribute to team documentation
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Communicate progress, blockers, and risks to the team and stakeholders
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Support client meetings in a technical capacity
Key attributes for applicants
•
A passion for great products, software development, and learning
•
Strong SQL skills with working proficiency in Python; experience with Spark, Scala, R, or C# is a plus
•
Practical experience in data pipeline development, ideally in both batch and streaming patterns
•
Understanding of data modeling patterns for analytics (dimensional modeling, normalized data models, lakehouse concepts)
•
Hands-On experience with at least one cloud data platforms (Azure preferred, AWS and GCP experience also valued)
•
Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift
•
Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows, Temporal, or similar)
•
Experience writing tests and data quality checks for pipelines
•
Exposure to 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
•
Applies software engineering best practices to data engineering (source control, automated testing, code review, CI/CD)
•
Comfortable with ambiguity; can clarify requirements through conversation
•
Interest in mentoring and developing less experienced engineers
•
Professional data engineering experience (2+ 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
About the company
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).
Legal
We are an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities