Work across the stack: You have strong depth in one or more critical areas (e.g., API design, frontend architecture, data integration, infrastructure) and broad proficiency across the rest. You'll use whatever it takes — full-stack applications, backend systems, data pipelines, AI integrations — and continue deepening your expertise over time.
Build end-to-end systems from data infrastructure that processes large-scale datasets reliably and cost-effectively to intuitive interfaces that make sophisticated analysis accessible to non-technical users like journalists, organizers, and decision-makers. You’ll turn manual, time-intensive processes into fast, scalable, automated ones.
Apply emerging technologies (including AI/ML) to R&D challenges. You’ll prototype novel approaches, evaluate feasibility, and bridge the gap between cutting-edge capabilities and practical usability.
Communicate clearly: You’ll provide actionable guidance to research and data science stakeholders on technical feasibility, solution alternatives, and tradeoffs. produce clear technical documentation (e.g., design docs, architecture decisions, and runbooks), and build consensus on design approaches across the team.
Elevate the team: Mentor engineers at all levels through pairing, code review, and technical guidance, set high standards for code quality and testing that raise the bar for the entire team, and drive process improvements, better tooling, and shared knowledge that make the team more effective over time.

Requirements

6+ years of software engineering experience building data-intensive systems and tooling in production environments;
Strong architectural judgment: experience designing systems that balance scalability, reliability, cost, and maintainability across multiple services or components;
Strong programming skills in Python along with proficiency in at least one other language (e.g., JavaScript, Java, Go, Scala);
Experience designing and building APIs, data models, and system integrations for complex, evolving requirements;
Experience building and operating production data pipelines using workflow orchestration tools such as Dagster, Airflow, or similar systems;
Proven track record of driving complex projects end-to-end with limited direction: scoping, planning, coordinating, and delivering across contributors;
Experience with cloud platforms (AWS preferred) and infrastructure-as-code (Terraform, CDK) with an eye toward cost-efficient architectural choices;
Strong product sense for internal tools: ability to understand user workflows, identify pain points, and build solutions that meaningfully improve productivity;
Experience contributing to and implementing technical projects end-to-end with a high degree of autonomy;
Excellent communication skills with the ability to explain technical decisions and trade-offs to both technical and non-technical audiences;
Passion for civic tech, social impact, or grassroots organizing and a genuine interest in building tools that empower organizers and communities.
Nice-to-haves
Experience building features powered by LLMs or working with LLM evaluation frameworks, whether professionally or as a hobbyist;
Background working alongside researchers, data scientists, or analysts;
Contributions to open source or published technical work;
Experience with survey infrastructure, research tooling, or analytics platforms; and/or
Experience applying AI/ML techniques to survey, voter, political data, or other data.

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

PythonJavaScriptJavaGoScalaAPI designdata modelingdata pipeline developmentworkflow orchestrationAI/ML

Soft Skills

communicationmentoringarchitectural judgmentproject managementcollaborationproblem-solvingtechnical documentationconsensus buildinguser workflow understandingautonomy