Data Engineer
$120,000–$135,000 year
RemoteVermont, United States
Job Summary
Design, build, and maintain production-grade data pipelines, including reusable modules, frameworks, and components. Safely modernize inherited systems, leverage agentic AI tools for efficiency, and produce clear documentation. Estimate infrastructure costs and monitor pipeline health through alerts and data quality checks. Collaborate across disciplines to communicate technical tradeoffs and mentor staff. Adhere to engineering standards regarding privacy, security, and compliance. This role requires 3-5 years of experience with SQL, Python, or Go, cloud containerization, dbt, Apache Airflow, and streaming solutions. American citizens or lawful permanent residents are required.
Required Qualifications
- Creative problem solving abilities
- Comfortable with a trial-and-error approach
- Design, build, maintain, and support reliable, production-grade data pipelines
- Develop reusable modules, frameworks, and pipeline components that enable scalable and maintainable data solutions
- Understand, maintain, and safely modernize inherited data systems and infrastructure
- Leverage agentic AI tools to improve the efficiency, quality, and effectiveness of their work
- Produce clear, robust documentation that supports maintainability, team collaboration, and knowledge sharing
- Adhere to company engineering standards and best practices, with particular attention to data privacy, security, consistency, and compliance
- Estimate and anticipate the infrastructure and operational costs associated with developing, deploying, and maintaining data systems
- Collaborate effectively across disciplines, including with technical project managers, software engineers, data scientists, DevOps engineers, privacy and security teams, and business development teams
- Communicate technical concepts, findings, tradeoffs, and recommendations clearly to clients and internal stakeholders, and contribute to technical discovery and solution design
- Mentor and support other technical staff, enabling them to contribute effectively to data infrastructure and engineering initiatives
- A minimum of 3-5 years of professional experience
- American citizens or lawful permanent residents (i.e., possess a Green Card)
Desired Qualifications
- Pipeline architecture, development, deployment, and maintenance
- Expertise in data modeling, data warehousing, and pipeline development
- Strong SQL skills and programming and software experience in a production setting (Python / Go preferred)
- Strong proficiency with containerized deployments in a cloud environment
- Ability to gather requirements, perform root cause analysis and present deliverables to non-technical stakeholders
- Solid problem-solving abilities through established practices and patterns in a manner that results in the ability to work independently
- Experience with ETL tools such as dbt
- Experience with orchestration tools such as Apache Airflow
- Experience integrating with business intelligence/analytics platforms such as Apache Superset
- Experience in data analysis or quantitative research
- Demonstrable deployment of agentic AI workflows to solve engineering problems
- Experience designing, deploying and maintaining real or near-real-time streaming or CDC solutions
- Monitoring health of deployed pipelines - e.g. alerts, actionable data quality checks, etc.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.