Data Engineer

Green River is a 100% employee-owned web application development firm focused on software and analytics for a better world. The Data Engineer will design, build, maintain, and support production-grade data infrastructure and pipelines, while collaborating across disciplines to deliver secure, scalable, and data-driven solutions. The role also involves documentation, cost estimation, stakeholder communication, and mentoring technical staff.

Responsibilities:

• 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

Requirements:

• 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
• A minimum of 3-5 years of professional experience
• In order to comply with our contractual data security regulations, we are required to consider only individuals who are either American citizens or lawful permanent residents (i.e., possess a Green Card)
• Python / Go preferred