Data Engineer

Steel Warehouse is expanding its data capabilities with a Data Engineer who will design, build, and optimize scalable data pipelines and architectures. This role enables the consolidation of diverse data sources, supports analytics, and fosters data-driven decision making through big data technologies and cloud platforms. The position is based onsite in South Bend, IN.

Responsibilities

• Design, develop, and maintain robust ETL or ELT pipelines to ingest, transform, and load data from multiple sources
• Construct and optimize data models to support analytics and reporting use cases
• Ensure data quality, integrity, and reliability via monitoring, validation, and testing
• Establish and support data governance practices, including data lineage, cataloging, and metadata management
• Enforce data standards, naming conventions, and access controls across datasets
• Collaborate with business stakeholders to define data ownership, definitions, and quality expectations
• Manage and optimize data storage solutions such as data warehouses, data lakes, and lakehouses
• Apply performance tuning and cost optimization strategies
• Maintain documentation for data architecture, pipelines, and governance processes
• Support deployment and orchestration of data workflows using modern tools
• Troubleshoot and resolve data issues in a timely manner

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience
• 2–5+ years of experience in data engineering or related roles
• Strong SQL skills and experience working with relational databases
• Experience building data pipelines using Python, Spark, or similar tools
• Familiarity with cloud platforms such as Azure, AWS, or GCP
• Experience with data warehousing technologies such as Snowflake, BigQuery, Redshift, or Fabric
• Understanding of data modeling concepts including star schema and normalization
• Experience supporting or working within data governance frameworks (data quality, lineage, access control, or catalog tools)

Technologies

• SQL
• Python
• Spark
• Azure
• AWS
• GCP
• Snowflake
• BigQuery
• Redshift
• Fabric
• Delta Lake
• Microsoft Fabric
• Microsoft Purview
• Collibra
• Alation
• Airflow
• Azure Data Factory

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Professional development assistance
• Referral program
• Tuition reimbursement
• Vision insurance

Education & Experience

• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience
• 2–5+ years of experience in data engineering or related roles
• Strong SQL skills and experience with relational databases
• Experience building data pipelines using Python, Spark, or similar tools
• Familiarity with cloud platforms (Azure, AWS, or GCP)
• Experience with data warehousing technologies such as Snowflake, BigQuery, Redshift, or Fabric
• Understanding of data modeling concepts (star schema, normalization)
• Experience supporting or working within data governance frameworks (data quality, lineage, access control, or catalog tools)

Work Location

Work location: In person in South Bend, Indiana (onsite)