DATA ENGINEER

DATA ENGINEER

Apr 27, 2026

Indianapolis, IN Pay Rate :

$115,000.00

Job Title:

Data Engineer

Location:

Indianapolis, IN (Hybrid) | Relocation Considered for the Right Candidate

Salary Range:

$86,000 - $115,000 base (flexible for a strong fit)

Employment Type:

Direct Hire | Full-Time

Job Summary:

MS Companies is partnering with a confidential, industry-leading organization in the infrastructure and construction materials space to identify a mid-level Data Engineer to support the development of a modern, cloud-based data platform. This role is ideal for a hands-on builder who thrives in Databricks and Azure environments and enjoys transforming raw data into scalable pipelines and meaningful business insights. You'll work cross-functionally with finance, operations, and technical teams to build and optimize data systems that directly impact decision-making and long-term data strategy — including future AI/ML initiatives. Required Skills & Qualifications

• 3+ years of experience in Data Engineering or Cloud Data Engineering
• Hands-on experience with Databricks and/or Snowflake
• Strong proficiency in Python and SQL
• Experience building and maintaining ETL/ELT pipelines
• Experience working in a cloud environment (Azure preferred)
• Strong understanding of data modeling, schema design, and optimization
• Exposure to CI/CD pipelines and workflow automation
• Bachelor's degree in Computer Science, Engineering, or related field
• Must be authorized to work in the U.S. without sponsorship Preferred Skills & Qualifications
• Experience with Azure Data Factory, ADLS, or Azure DevOps
• Familiarity with Delta Lake architecture and Databricks optimization
• Experience with PySpark, Pandas, or similar frameworks
• Working knowledge of Linux, Bash, or Docker
• Experience with workflow orchestration tools (ADF, Databricks Jobs, etc.)
• Exposure to Power BI, Tableau, or data visualization tools
• Experience with ERP, financial, supply chain, or operations data
• Exposure to predictive analytics, NLP, or AI/ML initiatives Day-to-Day Responsibilities
• Design, build, and maintain scalable data pipelines in a cloud environment
• Develop and optimize Databricks clusters and workflows
• Build and manage data storage solutions (e.g., Delta Lake, cloud warehouse)
• Integrate data platforms with Azure services and enterprise systems
• Support implementation of a modern cloud data warehouse and governance structure
• Develop and maintain CI/CD pipelines for data workflows
• Monitor and optimize performance, cost, and reliability of data processes
• Partner with business stakeholders to deliver data-driven insights and solutions Physical and Environment Requirements This role operates in a professional, hybrid office environment. Responsibilities may include extended periods working at a computer, participating in collaborative meetings, and onsite engagement Tuesday-Thursday. Company Benefits & Culture
• Competitive salary with performance-based incentives
• Comprehensive health, dental, and vision coverage
• 401(k) with company match
• Hybrid work flexibility
• Opportunity to work on modern cloud data architecture
• Strong cross-functional exposure across finance and operations
• Long-term growth within a stable, growing organization INDQSS3