Data Engineer

Looking for more than just an assignment? Were looking for you! This isnt just another assignment, but a real opportunity and a challenge for the right person.

LRS Consulting Services is seeking a Data Engineer for a Direct Hire opportunity with our client in downtown Chicago, IL! LRS Consulting Services has been delivering the highest quality consultants to our clients since 1979. Weve 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 were very interested in candidates who can help us. If youre that candidate, this opportunity is made for you! Job Title: Data Enginee Location: Chicago, IL (4 days on-site) The Data Engineer will serve as a key member of the Business Enablement team, with the primary role of supporting initiatives related to proprietary Private Market Databases.

Regular working hours are 8:30 am to 5:00 pm with a 30-minute lunch break. Willingness and ability to work overtime is necessary. The primary duties are to: • Hands on experience designing, building, and maintaining scalable data pipelines and ETL/ELT processes across various platforms, including: SQL Server, Python, Azure Data Factory (ADF), Microsoft Fabric, Databricks, and Salesforce to support analytics and operational needs. • Develop and own database schemas across a variety of platforms, including: SQL Server, Microsoft Fabric, Databricks, and Salesforce. • Support master data management initiatives by enforcing data standards and consistency across data sources. • Lead data cleanup initiatives with a focus on maintaining and improving data quality, including establishing data governance frameworks and guardrails and prioritizing historical data cleanup efforts. • Create and maintain comprehensive data dictionaries and metadata documentation that clearly define fields, data types, relationships, and business context • Identify and address technical debt in data infrastructure by modernizing the tech stack and applying best practices for performance, scalability, and maintainability. • Provide strategic guidance on database design to ensure scalability, efficiency, and alignment with business objectives. • Drive awareness of top of tech trends by facilitating alpha / beta testing of new technologies, participating in internal pay ranges are determined by role, level, and location.

The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. LRS is an equal opportunity employer.

Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status. In some cases, LRS Consulting uses generative artificial intelligence (“AI”) in support of our hiring processes. LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es).

AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out.