Data Engineer

Valid8 Financial, Inc.; Town of Vermont (WI); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health insurance

6 weeks paid time off

Retirement benefits

ESOP participation

Job summary

Green River is a 40-person, 100% employee-owned web application development firm with a strong engineering focus on software and analytics. We seek a Data Engineer to design, build, and maintain robust data infrastructure and workflows that enable data-driven decisions.

You will collaborate across disciplines, modernize legacy systems, and leverage AI tools to improve efficiency, while ensuring security and compliance. 3-5 years of experience preferred.

Qualifications

• Proficient in building production-grade data pipelines and architectures.
• Experience with data modeling, warehousing, and ETL processes.
• Strong SQL skills and production programming experience.

Responsibilities

• Design, build, maintain, and support reliable, production-grade data pipelines.
• Develop reusable modules and components for scalable data solutions.
• Understand and modernize inherited data systems securely.
• Leverage agentic AI tools to improve efficiency and quality.
• Produce clear documentation to support maintainability and collaboration.
• Adhere to engineering standards with emphasis on data privacy and compliance.
• Estimate infrastructure and operational costs for data systems.
• Collaborate across disciplines with PMs, engineers, data scientists, DevOps, privacy teams, and BD teams.
• Communicate findings and recommendations clearly to clients and internal stakeholders.
• Mentor other staff to contribute to data infrastructure initiatives.

Skills

Pipeline architecture

Data modeling

SQL

Python

Go

Cloud deployments

Root cause analysis

Documentation

Data privacy & security

Communication to stakeholders

Tools

dbt

Apache Airflow

Apache Superset

Python

Go

Docker/Kubernetes

Job description

Join our growing data team at Green River as a Data Engineer. This role will support projects that matter by designing, building, and maintaining robust data infrastructure and workflows to support critical business operations and data-driven decision-making. Your work will involve collaboration with other disciplines to come up with innovative solutions that maximize the impact of our projects, while ensuring alignment with business objectives and technical standards. Creative problem solving abilities are a must, and you should be comfortable with a trial-and-error approach.

Green River is a 40-person, 100% employee owned web application development firm with a strong engineering focus and dedication to “software and analytics for a better world.” We are collaborative and goal-oriented, and aim for a shared understanding throughout our company of what success — and positive impact — means. Professional development, process improvement, social justice, and technical innovation with measurable results are all key aspects of how we work.

We’re looking for a positive team member who will…

• 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.

Desired skills and experience:

• 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.

Some things people love about working at Green River:

• Creative team who value a workplace where you can learn and laugh
• Long-term relationships with smart, engaged clients
• We offer a competitive salary, health insurance coverage, 6 weeks of paid time off, retirement benefits, and ESOP participation.

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).