Data Engineer (in person)

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