Data Jobs in South Bend, IN

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29d ago

Data Engineer

Steel Warehouse South Bend, IN

South Bend, IN

29d ago

Full time Alation Analytics Azure Data Factory

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Job Description

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)

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