Added Dec 28, 2021 Data Engineer (MS SQL, Azure) - Remote (23124) Chicago, IL | Permanent Apply

Job Description

LRS has prospered for over 30 years because our corporate philosophy embraces honest, ethical and hard-working people. If that describes your approach to IT consulting, we need to talk! LRS Consulting Services is seeking an experienced Data Engineer for a direct-hire remote opportunity with our downtown Chicago health care client!

LRS Consulting Services has been delivering the highest quality consultants to our clients since 1979. We've 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're very interested in candidates who can help us. If you're that candidate, this opportunity is made for you!

The Data Engineer will:

- Design and Develop data integration/engineering workflows on big data technologies and platforms
- Develop workflows in the cloud environment using Cloud base architecture (Azure).
- Develop dataflows and processes for the Data Warehouse using MS SQL Server.
- Develop workflows for real time data integration.
- Develop Data integration workflows using Web services in XML, JSON, flat file format, REST
- Design, Develop, and unit test new or existing ETL/Data Integration solutions
- Daily Production Support of the Enterprise Data Warehouse
- Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Deliver increased productivity and effectiveness through rapid delivery of high-quality applications.
- Other duties as assigned


- Strong engineering experience in MS SQL Server Data Warehouse Environments
- Strong knowledge of Data Warehouse principles and technologies
- Strong knowledge of Data Models & Schemas.
- Demonstrated expertise programming in MS SQL Server
- Demonstrated expertise in creating Data Pipelines (and pref., CI/CD pipelines)
- Demonstrated expertise working with data services in a Cloud environment (pref., Azure Data Factory, Azure SQL, Synapse, Snowflake, etc.)
- Demonstrated expertise in Web Services API's
- Experience with Big Data tools such as Spark, Apache Spark, or PySpark preferred
- Candidates must have permanent authorization to work in the USA for any employer
- Corp to Corp candidates will not be considered

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.