Data Services Engineer

Catalist is a leader in civic data and data science innovation, providing progressive organizations with essential data and software solutions. As a Data Services Engineer, you will support clients by developing data products and managing projects while collaborating with various teams to enhance data-driven political efforts.

Responsibilities:

• Acts as an advanced user of all internal and external Catalist tools, data, and products for the purpose of supporting client requests and internal projects
• Understands client needs, political implications, and scope of work through consistent communication with other Catalist departments and partner organizations
• Oversees all projects assigned from start to finish; successfully delivers reports, lists, and other material requests on time, accurately, and in a client-friendly format with actionable insights
• Executes requests for new business development support from Marketing team
• Escalates issues and concerns to the Director of Data Support as needed
• Creates and maintains documentation to support all deliverables for future replication

Requirements:

• BS or BA or relevant experience
• Willingness to be a creative problem solver and produce results in a fast paced environment
• Ability to focus on details and make productive suggestions on ways to streamline and improve processes
• Ability to communicate with technical and non-technical audiences, and articulate ideas verbally and through written communications
• Ability and willingness to learn new skills quickly
• Ability to become an internal subject matter expert on various datasets and support other Catalist departments/teams on usage of those datasets
• Background check required
• Interest, familiarity, or experience with SQL, BigQuery, Python, or other relational database programming language
• Experience in the following: Terminal or using a Unix command line interface
• Experience working with cloud infrastructure and large-scale data workflows in AWS or GCP
• Experience managing projects
• Familiarity with Catalist data, progressive politics, voter files, and/or large commercial datasets
• Interest or familiarity with using LLM's in secure environments to support work products