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