Data Engineer - Mid Level

Added Sep 18, 2026 Data Engineer - Mid Level (46409) Remote, Remote | Temp to Perm Apply

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Looking for more than just another assignment? We're looking for you! This isn't just another assignment, but a real opportunity and a challenge for the right person. LRS Consulting Services is seeking a Data Engineer for a 6-month contract to hire opportunity with our client in Central Illinois!

LRS Consulting Services has been delivering the highest quality consultants to our clients since 1979. We have built a solid reputation for dealing with our clients and our consultants with honesty, integrity, and respect. We work hard every day to maintain that reputation, and we are very interested in candidates who can help us. If you're that candidate, this opportunity is made for you!

Job Overview:

As a Data Engineer, you will be responsible for designing, building, and maintaining efficient and scalable data pipelines and data-centric solutions. You will collaborate closely with cross-functional IT teams, data analysts, data scientists, and other stakeholders to ensure the availability, reliability, and accessibility of data to support various business needs.

Key Responsibilities:

• Data Pipeline Development:
  Design, develop, and optimize data pipelines for data ingestion, transformation, and storage.
• ETL/ELT Processes:
  Build and manage Extract, Transform, Load (ETL) processes to ensure timely, clean, and accurate data for analytics and reporting.
• Data Integration:
  Integrate data from various internal and external data sources into the organization's data platform.
• Database Management:
  Work with relational databases (e.g., SQL Server) and potentially non-relational databases to store, retrieve, and manage large datasets.
• Data Governance:
  Implement and enforce data quality, governance, and security policies to ensure compliance with regulatory and company standards.
• Optimization:
  Optimize data workflows, query performance, and storage solutions for efficiency and cost-effectiveness.
• Automation:
  Automate repetitive data processes and workflows to improve efficiency and reduce errors.
• Monitoring & Troubleshooting:
  Implement monitoring, alerting, and troubleshooting processes for data systems to ensure high availability and performance.

Qualifications:

• Experience:
  
  Must have 3+ years of experience in data engineering, software development, or related field.

Technical

Skills:

• Strong SQL skills (complex queries, performance tuning, relational modeling).
• Experience developing and optimizing data solutions in Snowflake.
• Hands-on data development experience with dbt (dbt Core and/or dbt Cloud), including modular modeling, testing, and documentation.
• Experience with relational databases such as SQL Server (or similar enterprise RDBMS).
• Proficiency with at least one programming/scripting language used for data engineering (e.g., T-SQL, Python, or similar).
• Solid understanding of data warehousing…