Senior Data Engineer

MS Companies

Indianapolis (IN)

Hybrid

USD 130,000 - 155,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision
401(k) with company match
PTO + company holidays
Hybrid work flexibility

Job summary

MS Companies in Indianapolis, IN is seeking a Senior Data Engineer to build and scale a modern enterprise cloud data platform. This hands-on role focuses on production systems, designing data pipelines, strengthening the Databricks environment, implementing Delta Lake with governance, and improving reliability, performance, and cost efficiency.

You will collaborate with Data Strategy, Finance, Operations and Analytics teams, design scalable ETL/ELT pipelines, and partner with stakeholders to

Qualifications

  • 5+ years of Data Engineering or Cloud Data Engineering experience.
  • Strong production experience with Databricks.
  • Hands-on experience with Snowflake.
  • Advanced Python / PySpark and SQL.
  • Experience building and supporting scalable ETL/ELT pipelines.
  • Solid understanding of cloud data architecture (Azure preferred).
  • Bachelor’s degree in a technical field.
  • Must be authorized to work in the U.S. without sponsorship.

Responsibilities

  • Design, build, and maintain scalable data pipelines in Databricks.
  • Optimize Databricks clusters for performance, reliability, and cost.
  • Implement and maintain Delta Lake architecture.
  • Integrate Databricks with Azure services (ADF, ADLS, Synapse, DevOps).
  • Build CI/CD pipelines and workflow orchestration.
  • Support data governance through Unity Catalog.
  • Partner with business stakeholders to turn requirements into scalable solutions.
  • Help establish engineering standards and best practices.

Skills

Databricks
Snowflake
Python / PySpark
SQL
ETL / ELT pipelines
Azure cloud
Data modeling
Schema design
Performance optimization
Stakeholder communication

Education

Bachelor's degree in a technical field

Job description

Indianapolis, IN | Hybrid

Relocation considered for the right candidate

We’re partnering with a confidential, industry-leading organization in the infrastructure and construction materials sector to hire a Senior Data Engineer who will help build and scale a modern enterprise cloud data platform.

This is a hands-on senior role focused on production systems. You’ll design and optimize data pipelines, strengthen the Databricks environment, implement Delta Lake and data governance, and improve the reliability, performance, and cost efficiency of the cloud data platform. You’ll work closely with Data Strategy, Finance, Operations, and Analytics teams.

What You’ll Do

  • Design, build, and maintain scalable data pipelines in Databricks
  • Optimize Databricks clusters for performance, reliability, and cost
  • Implement and maintain Delta Lake architecture
  • Integrate Databricks with Azure services (ADF, ADLS, Synapse, DevOps)
  • Build CI/CD pipelines and workflow orchestration
  • Support data governance through Unity Catalog
  • Partner with business stakeholders to turn requirements into scalable solutions
  • Help establish engineering standards and best practices

What We’re Looking For

Required

  • 5+ years of Data Engineering or Cloud Data Engineering experience
  • Strong production experience with Databricks
  • Hands-on experience with Snowflake
  • Advanced Python / PySpark and SQL
  • Experience building and supporting scalable ETL/ELT pipelines
  • Solid understanding of cloud data architecture (Azure preferred)
  • Experience with data modeling, schema design, and performance optimization
  • Bachelor’s degree in a technical field
  • Must be authorized to work in the U.S. without sponsorship

Preferred

  • Delta Lake and Databricks Unity Catalog
  • CI/CD for data workflows
  • Databricks Jobs / workflow orchestration
  • Cluster monitoring and cost optimization
  • Strong communication skills with both technical and non-technical stakeholders
  • Base salary: $130,000 - $155,000+ (negotiable based on experience)
  • 10% annual performance bonus (up to 2x multiplier opportunity)
  • Medical, dental, and vision
  • 401(k) with company match
  • PTO + company holidays
  • Hybrid work flexibility

This is a high-visibility role with the opportunity to influence enterprise cloud architecture, governance, and platform strategy at a stable, growth-oriented organization.

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