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