Senior Data Engineer

Senior Data Engineer 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. These are the folks who keep their communities running smoothly. Their work is essential, but often constrained by outdated tools.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. We’re consolidating several acquired products into one platform and guiding our clients through this transition. It’s complex, important work that requires a team that can execute at a high level to help drive that transformation. The Role: At gWorks, we believe that better data leads to higher quality service, better decision making, and ultimately builds better communities. As a Sr Data Engineer you will play a critical role in building the data infrastructure that powers how clients are boarded to the gWorks platform to maintain their operations and how we surface valuable information to our customers so they can better serve their communities. In this role, you will design and build robust cloud-native data transformation pipelines that transform complex operational data from legacy systems into gWorks’ modern cloud products. You'll architect end-to-end data workflows on AWS, with a strong focus on data quality and validation, ensuring downstream consumers can trust the data they work with. You'll partner closely with engineering, analytics, and business teams to turn raw data into reliable, well-governed assets. This role is part of a long-term investment in building reusable, scalable data infrastructure that reduces complexity, improves quality, and accelerates growth. You’ll help lay the groundwork for a team responsible for data pipelines, schema management, integrations, validation frameworks, and automation that serves all of gWorks’ products and clients. Key Responsibilities: You'll design, build, and maintain scalable data transformation pipelines using AWS Step Functions and AWS Glue, orchestrating complex workflows that ingest, clean, and transform data from a variety of sources. A core part of your work will involve implementing rigorous data validation frameworks at every stage of the pipeline, including schema enforcement, anomaly detection, completeness checks, and reconciliation against source systems. You'll own the quality of the data you produce, defining SLAs, monitoring pipeline health, and proactively surfacing issues before they reach downstream users. Beyond pipeline development, you'll collaborate with software engineers and product owners to understand their requirements, design appropriate data models, and ensure the outputs of your pipelines support both analytical and operational use cases. You'll also contribute to platform-wide decisions around tooling, architecture, and best practices, and you'll mentor other team members on data engineering and validation patterns. What You'll Bring: 5+ years of professional experience building production data transformation pipelines Strong hands-on experience with AWS Step Functions for workflow orchestration Strong hands-on experience with AWS Glue (Glue Jobs, Glue Catalog, Glue Crawlers, and PySpark on Glue) Demonstrated focus on data validation and data quality, including familiarity with frameworks such as Great Expectations, Soda, or custom validation tooling Proficiency in Python and SQL, with solid software engineering fundamentals (version control, testing, code review, CI/CD) Experience working with AWS services adjacent to the data stack, such as S3, Lambda, Athena, IAM, and CloudWatch Comfort working with both structured and semi-structured data formats (Parquet, JSON, Avro) Strong communication skills and the ability to translate ambiguous business needs into technical solutions A growth mindset — curious, humble, and motivated to solve hard, high-impact problems. Where You’ll Work: Omaha-based? You'll follow our hybrid model: work remotely with in-office collaboration on Tuesdays and Thursdays Remote? You’ll be fully supported to work from anywhere in the U.S. We prioritize connected, accountable teams — no matter where you're located Compensation & Benefits: Base Salary Range: 150,000 - 180,000 annually Full health, dental, and vision benefits 401(k) with company match Generous PTO and holidays High-growth culture with executive visibility and investor exposure Equal Opportunity Employer: gWorks is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.