Build and design data acquisition workflows. Design, build, and maintain Python and LLM-based workflows for civic and public-sector datasets, including API integrations, data parsing, transformation, and validation. Use SQL to investigate, validate, reconcile, and analyze datasets across multiple sources.
Lead projects end-to-end. Own data acquisition work from requirements and source evaluation through implementation, monitoring, and ongoing improvement. Work with the team and cross-functional partners to design systems supporting new data types and evolving organizational needs.
Improve continuously. Identify and prioritize opportunities to enhance data quality, efficiency, and reliability through better processes or new approaches. This includes deeply understanding the data to help design better systems.
Get Creative. Create and leverage AI-enabled tools to accelerate development and automate repetitive tasks. Make informed judgement calls about where these tools help and where they don't. Not everything is automatable, when it’s not, you’ll roll-up your sleeves and do it yourself.
Elevate the team. Document data sources, processes, and assumptions to support long-term maintainability. Actively collaborate with teammates across planning, brainstorming, and technical implementation — whether that's pressure-testing an approach together, pairing on a tricky pipeline, or helping a colleague think through a problem from scratch.

Requirements

6+ years of experience in technical or data-focused roles (e.g., data acquisition, data engineering, analytics engineering, or similar);
Strong proficiency in Python, including writing maintainable, well-documented code for data workflows;
Strong SQL skills, including complex querying for data validation, reconciliation, and analysis;
Experience working with APIs and programmatic data ingestion;
Demonstrated ability to work independently, manage priorities, and deliver high-quality results with minimal oversight;
Experience documenting technical processes and explaining them clearly to others;
A genuine orientation toward collaborative work with demonstrated ability to contribute to shared technical decisions within and across teams;
Familiarity with version control systems (e.g., Git).

Benefits

Health, vision, and dental insurance with 100% of premiums covered for you and qualifying family members;
Retirement benefits with a 5% employer match;
A flexible unlimited PTO plan;
Generous paid parental leave;
Pre-tax commuter benefits;
A company laptop;
A flexible remote work environment;
A home office setup stipend for all new employees;
Monthly reimbursement for remote work expenses;
A yearly professional development fund;
Mental health and wellness benefits through Calm and Better Help;
Yearly in-person staff retreats;
A welcoming culture that celebrates diversity, equity, inclusion, and belonging.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLAPI integrationsdata parsingdata transformationdata validationdata acquisitiondata engineeringanalytics engineeringAI-enabled tools

Soft Skills

collaborative workindependent workprioritizationcommunicationproblem-solvingdocumentationcreativityleadershipteam collaborationtechnical decision-making