[Remote] Senior Data Engineer
Note: The job is a remote job and is open to candidates in USA. gWorks builds software that helps small local governments work better. As a Senior Data Engineer, you will play a critical role in building the data infrastructure that powers how clients are boarded to the gWorks platform and how we surface valuable information to our customers.
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
Skills
- 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
Benefits
- Full health, dental, and vision benefits
- 401(k) with company match
- Generous PTO and holidays
- High-growth culture with executive visibility and investor exposure
Company Overview
Company H1B Sponsorship