Data Engineer

One of our Financial Services clients is hiring a Data Engineer to support ETL pipelines, work in partnership with Data Science teams, and support overall data management at enterprise scale. This will be a contract-to-hire opportunity and will be hybrid, 4 days onsite per week. Responsibilities: • Architecting, creating, and maintaining data pipelines • Assist with renovating the data management infrastructure to drive automation in data integration and management • Work in partnership with data science teams and with business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements • Train counterparts across the organization in data pipelining and preparation techniques which make it easier for them to integrate and consume the data they need for their own use cases • Work with data governance teams and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse • Demonstrated ability to communicate complex results to technical and non-technical audiences • Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines • Strategic intellectually curious thinker with focus on outcomes • Professional image with the ability to form relationships across functions Skills: • Strong experience with various Data Management architectures and processes • Strong ability to design build and manage data pipelines for data • Strong experience in working with large heterogeneous datasets in building and optimizing data pipelines pipeline architectures and integrated datasets • Demonstrated success in working with large heterogeneous datasets to extract business value • Strong experience in working with DevOps capabilities like version control automated builds testing and release management capabilities • Demonstrated ability to communicate complex results to technical and non-technical audiences • Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines • Strategic intellectually curious thinker with focus on outcomes • Professional image with the ability to form relationships across functions • Willingness and ability to learn new technologies on the job Experience: • 4 years of related experience in data management disciplines including data integration modeling optimization and data quality and/or other areas directly relevant to data engineering responsibilities and tasks • 4 years of experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative experience with data preparation tools and database programming languages • Strong experience with advanced analytics tools • Hands on data testing experience • Strong experience with data engineering tooling e.g. Glue Landa Athena AWS • Strong knowledge of BI software tools • Strong experience with open-source and commercial data science platforms • Learn and/or Agile methodology The salary range for this position is $75,000 to $90,000. Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster.