Senior 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

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