Software Engineer, Geospatial Data

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🏈 Alabama, Alaska, +23 more states – Remote

🏈 Alabama – Remote 🐻 Alaska – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🌽 Illinois – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ❄️ Minnesota – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $90k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗺️ GIS

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Civitech

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏛️ Government

🤝 Non-profit

☁️ SaaS

💰 $10M Series A on 2022-01

Government • Non-profit • SaaS

Civitech is a company that modernizes advocacy and campaign work by providing best-in-class civic tools that are both affordable and accessible for leaders who want to drive change in their communities. Civitech serves political action committees (PACs), party committees, campaigns, candidates, advocacy groups, and nonprofits, particularly those focused on voter engagement and promoting democracy. Their solutions include data tools, voter outreach platforms, and organizing solutions aimed at effectively mobilizing voters and facilitating equal access to the ballot box. Civitech envisions a world where every individual, regardless of their resources, can participate in and influence democracy.

📋 Description

• Participate with other engineers in the design, implementation, and maintenance of Civitech's applications and infrastructure. • Collaborate cross-functionally with product, research, and data science teams to develop features from participation in requirements definition through to testing and documentation. • Build scalable, secure, and high-performing features in a cloud environment. • Communicate effectively with team members and contribute to an open and inclusive engineering culture. • Grow your technical skills and contribute to effective team development practices. • If you were here today, you'd be: • Optimizing data availability: Developing new features to automatically make election research data available in our customer-facing tools, reducing latency to our end users. • Building data pipelines: Developing and maintaining pipelines that ingest, normalize, and serve civic data so it's reliably available to our tools and customers - including geospatial data like shapefiles and political boundary files. • Bridging data silos: Designing strategies to effectively and broadly share data between operational PostgreSQL databases and BigQuery data warehouses to enrich existing datasets. • Working with political geography: Reconciling census shapes against political shapes (precincts, council districts, legislative districts) and keeping that data current as new maps move through legislatures and the courts. • Improving data quality: Diagnosing and fixing bad data - from malformed geometries to inconsistent identifiers - so downstream tools and customers get reliable results.

🎯 Requirements

• You have 3–5 years of software engineering experience. • You thrive in a fast-paced startup environment, enjoy building software for the public good, and are passionate about democracy, civics, and politics. • You are strong in Python, especially for data pipelines, scripting, and automation. • You're comfortable working across the stack and picking up other languages and frameworks as needed - our applications are built largely in Ruby on Rails and JavaScript/TypeScript. • You have experience working with cloud environments, particularly Google Cloud Platform or AWS; experience with Azure is also valuable. • You are skilled in facilitating collaboration between engineers and with partner teams. • You are experienced with identifying issues and helping to develop solutions, including diagnosing and fixing data quality problems. • You are used to being actively engaged in planning the team's work via backlog refinement, helping to write user stories, etc. • You are practiced with written and verbal communication that helps make complex code accessible. • You prioritize writing maintainable and well-documented code. • You demonstrate the ability to effectively give and receive constructive feedback, especially with other engineers. • Additional qualifications (need some but not all): Our current work benefits from the below. Please keep in mind that you do not need to bring expertise in all of these to be the right candidate for this role. • Specialty: Geospatial & Political Data: This role has a particular focus on geospatial and political data, so experience in any of the following is a strong plus: • Hands-on experience with geospatial data - shapefiles, GeoJSON, projections/coordinate systems, and spatial joins. • Experience with geospatial libraries and tooling (PostGIS, GeoPandas, Shapely, GDAL/OGR, Fiona, etc.). • Familiarity with political geography: precincts, city council and county districts, and state/federal legislative districts. • Understanding of how census geographies differ from political boundaries, and the challenges of mapping between them. • Awareness of the current redistricting landscape and how court-ordered and legislative map changes affect downstream data. • Domain Knowledge: Understanding of U.S. elections administration and/or campaign operations. • Engineering Expertise: Proficiency in Python for scripting, automation, or data-related tasks. • Proficiency in JavaScript/TypeScript (used within and without Rails). • Knowledge of building and maintaining Ruby on Rails applications, including performing upgrades, using GraphQL-Ruby, Turbo/Stimulus, Rspec, etc. • Understanding of API design, development, and usage, especially GraphQL APIs. • Experience contributing to automated test suites and ensuring robust coverage. • Systems and Data: Expertise in PostgreSQL (with PostGIS for geospatial data). • Experience working with cloud data warehouses, particularly BigQuery. • Knowledge of building scalable data pipelines with dbt. • Knowledge of scaling and high-availability techniques. • Infrastructure: Experience maintaining infrastructure hosted on AWS or GCP. • Experience with continuous integration and deployment (CI/CD) tools, especially GitLab CI and/or GitHub Actions. • Familiarity with Terraform for Infrastructure-as-Code.

🏖️ Benefits

• Medical, Vision, & Dental Insurance • 401(k) plan • Employee Stock Options • Employer-paid Life Insurance • Short/Long Term Disability Insurance • Flexible Time Off & Paid Company Holidays • Flexible Spending Account • Parental Leave • Flexible Schedules • Professional Development Stipend • Monthly Office Upkeep Stipend