Data Engineer Platform

New Yesterday

Salary: 110,000- 130,000 About gWorks: gWorks builds software that helps small local governments work better. Our clients are public servants city clerks, utility billing staff, public works teams, and county administrators who keep their communities running. Their work is essential, but often constrained by outdated tools. We fix that. Our cloud-based platform replaces legacy systems with simple, integrated software built specifically for small governments. We serve thousands of communities nationwide, streamlining operations, improving service delivery, and making day-to-day work more manageable. Were consolidating several acquired products into one platform and guiding our clients through this transition. Its complex, important work and we need a leader who can execute at a high level to help drive that transformation.
The Role: At gWorks, we believe that better data builds better communities. As a Data Engineer on our growing Platform team, youll play a critical role in building the data infrastructure that powers how clients move to the gWorks Cloud. This isnt about dashboards or analytics pipelines. Its about designing and operating cloud-native data pipelines that transform complex operational data from legacy systems into gWorks modern cloud products. This work is foundational to how we onboard clients, integrate acquisitions, and scale gWorks as a true platform company. This role is part of a long-term investment in building reusable, scalable data infrastructure that reduces complexity, improves quality, and accelerates growth. Youll help lay the groundwork for a Platform team responsible for data pipelines, schema management, integrations, validation frameworks, and automation that serves all of gWorks products and clients.
Key Responsibilities: Build Next-Generation Data Pipelines Design and implement robust ETL/ELT pipelines that ingest, validate, transform, and load operational data from legacy on-prem systems into gWorks cloud-native products. Define Platform Data Standards Implement schema governance, validation rules, and reusable data models that power a consistent, reliable client experience. Lead Cloud-Native Transformation Build pipelines using AWS-native services like Step Functions, Lambda, S3, ECS, and Terraform fully serverless and cloud-native. Power Scalable Client Onboarding Develop tooling and automation that enables non-engineering teams to execute data migrations and system transitions reliably turning what was once a services-heavy process into a repeatable, productized workflow. Embed Observability and Resilience Build pipelines with automated logging, error handling, rollback paths, and monitoring ensuring reliability, auditability, and ease of use. Help Build the Platform Team Be a foundational member of a growing Platform engineering function. Help define engineering standards, operational processes, and a long-term technical vision that scales beyond any single migration or client.
What Youll Bring 5+ years of experience building AWS-native data infrastructure, using services like Step Functions, Lambda, S3, ECS, IAM, and Terraform. Proven success designing and delivering complex ETL/ELT pipelines especially for operational product data, not just analytics or reporting. Strong experience with Python and SQL for data transformation and pipeline development. Expertise in schema design, data modeling, validation frameworks, and error handling at scale. Familiarity with PostgreSQL and Microsoft SQL Server (T-SQL), and experience bridging data models across systems. Strong understanding of infrastructure-as-code (Terraform preferred) and DevOps automation. Excellent communication and collaboration skills able to work closely with Product, Engineering, and client-facing teams. A growth mindset curious, humble, and motivated to solve hard, high-impact problems.
What Success Looks Like Production-grade data pipelines that power client onboarding and system transitions with minimal engineering touch. Schema governance and validation frameworks that are standardized, reusable, and scalable. Reliable data migrations with minimal downtime, low error rates, and full observability. Non-engineering teams are empowered to execute data onboarding workflows without reliance on custom scripts. Direct contributions to gWorks' long-term Platform strategy evolving from a product suite to a unified, integrated platform.
Why This Role Matters This role is foundational to how gWorks grows enabling faster client onboarding, seamless system transitions, and the operational scale needed to support our vision. You wont just be building data pipelines. Youll be building the infrastructure that powers the future of gWorks as a platform company.
Where Youll Work We support great work from wherever you work best. Omaha-based? Youll follow our hybrid model, working remotely with in-office collaboration on Tuesdays and Thursdays. Remote? Youre fully supported to work from anywhere in the U.S. with tools, communication, and onboarding designed for distributed success. Were proudly Omaha-first, and while we prioritize building strong local teams when possible, this role is open to remote candidates who are aligned with our mission and ready to collaborate from wherever they are.
Compensation & Benefits Base Salary Range: $110,000- $130,000 Full health, dental, and vision benefits
401(k) with company match Generous PTO and holidays High-growth culture with executive visibility and investor exposure
A Note to Candidates You dont have to meet every single requirement to apply. If youre energized by leading accounting in a high-change, high-impact environment and excited to scale with a mission-driven GovTech company we want to hear from you.
Equal Opportunity Employer gWorks is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Location:
Omaha
Category:
Technology

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