Azure Data engineer

3+ years with data processing systems in Azure (Data Factory, Data Lake storage, Data Bricks, Synapse Analytics) 3+ years working in an Agile development environment pairing DevOps with CI/CD pipelines. 5+ years developing ETL (Extract, Transform, Load) workflows that support efficient data movement and processing in on-prem cloud environments. 5+ years of database architecture and dimensional data modeling 5+ years of data migration activities Proficiency in writing and optimizing complex Pyth

Job Title:Databricks Data EngineerLocation:Remote with Quarterly travel to Gaithersburg, MDDuration: 6 monthsPR: $68.50/hr on W2Security Clearance Required: PUBLIC TRUSTGreater DC Area preferredJob Description:Client is seeking a Databricks Data Engineer to develop/support new/existing data pipelines, and data analytics environments in Azure cloud-based data lake. As a data engineer, you will translate business requirements to data engineering solutions to support an enterprise scale Microsoft A

Sr. Data EngineerIntroduction: As a Sr. Data Engineer on the Data Analytics Team, you will play a vital role in building a strong data ecosystem to support a new company-wide business intelligence and analytics environment. You will be responsible for designing and developing standardized datasets, implementing ETL/ELT processes, and creating scalable solutions to support data pipelines. Responsibilities: Troubleshoot and develop solutions to data engineering problemsCollaborate with team member

Data Engineer 12+ months Remote To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirement listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may to enable individuals with disabilities to perform the essential functions. Minimum Experience: 7+ years of professional experience in Data Engineering / ETL development & Reporting services7+ years of experience with BI/Reporting so