Data Engineer (in person)

SEP

$90K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of professional data engineering experience
  • Strong SQL skills; proficiency in Python; familiarity with Spark, Scala, R, or C# is a plus
  • Hands-on experience with at least one cloud platform (preferably Azure)
  • Understanding of data modeling patterns for analytics, including dimensional modeling and lakehouse concepts
  • Experience with modern data platforms like Databricks, Snowflake, or Redshift

Responsibilities

  • Build and maintain data pipelines and transformations for both batch and streaming
  • Implement data models that support analytics use cases
  • Write and execute data quality checks for data pipelines
  • Configure orchestration tools to ensure smooth delivery
  • Investigate and resolve data pipeline performance and failure issues
  • Participate in code reviews and contribute to team documentation
  • Communicate effectively about project progress, blockers, and risks to stakeholders

Benefits

  • Collaborative and innovative work environment
  • Opportunities for professional growth and mentorship
  • Access to the latest data engineering tools and technologies
  • Supportive team culture focused on learning and development
  • In-person engagement in a well-facilitated office setting
Full Job Description
Data Engineer (in person)

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

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