SEP

Tailored software, AI, and cloud solutions

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeWestfield, IN, USANo salary listed

About the Job

Requirements

Strong SQL skills with working proficiency in Python.
Practical experience developing data pipelines, ideally using both batch and streaming patterns.
Understanding of data modeling patterns for analytics, including dimensional modeling, normalized data models, and lakehouse concepts.
Hands-on experience with at least one cloud data platform; Azure is preferred, with AWS and Google Cloud Platform also valued.
Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift.
Familiarity with orchestration and workflow management such as Apache Airflow, Databricks Workflows, or Temporal.
Experience writing tests and data quality checks for data pipelines.
Application of software engineering best practices to data engineering, including source control, automated testing, code review, and continuous integration/continuous delivery.
Ability to clarify requirements through conversation.
Legal authorization to work in the United States.
Must not require visa sponsorship or have work authorization based on Optional Practical Training or Curricular Practical Training.
Ability to work from the Westfield, Indiana office without relocation financial assistance.

Responsibilities

Build and maintain batch and streaming data pipelines and transformations.
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.
Participate in peer code review and contribute to team documentation.
Communicate progress, blockers, and risks to the team and stakeholders.
Support client meetings in a technical capacity.

Desired Qualifications

Experience with Spark, Scala, R, or C# is a plus.
Exposure to infrastructure-as-code tooling such as Terraform and ARM/Bicep, and continuous integration/continuous delivery pipelines such as GitHub Actions, is a plus.
Experience with analytics engineering tools such as dbt and data catalog tools such as Unity Catalog and Microsoft Purview is a plus.
Professional data engineering experience of two or more years is desired.

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

A community of friendly, talented, and effective peers

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
Participate in peer code review and contribute to team documentation
Communicate progress, blockers, and risks to the team and stakeholders
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

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

SEP