Data Engineer

Job not on LinkedIn

🕒 August 12

🍁 Vermont – Remote

🍁 Vermont – Remote

💵 $120k - $135k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 9%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Green River Group

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2024

🤝 B2B

💼 Consulting

💸 Finance

B2B • Consulting • Finance

Green River Group is a small business services firm that helps busy entrepreneurs and solopreneurs by providing done-for-you operational support and guidance. They offer bookkeeping, tax management, marketing, and operations assistance, plus low-cost educational resources and collaboration opportunities to help business owners make informed financial decisions, reduce stress, and increase profitability. Green River Group positions itself as a partner for early-stage business owners who need practical, affordable help managing the non-core but essential functions of running a business.

📋 Description

• Design, build, maintain, and support reliable, production-grade data pipelines • Develop reusable modules, frameworks, and pipeline components for scalable and maintainable data solutions • Understand, maintain, and safely modernize inherited data systems and infrastructure • Leverage agentic AI tools to improve work efficiency, quality, and effectiveness • Produce clear, robust documentation for maintainability, collaboration, and knowledge sharing • Follow engineering standards and best practices focused on data privacy, security, consistency, and compliance • Estimate and anticipate infrastructure and operational costs for data systems • Collaborate 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 to clients and internal stakeholders • Contribute to technical discovery and solution design • Mentor and support technical staff on data infrastructure and engineering initiatives

🎯 Requirements

• Senior-level experience • Pipeline architecture, development, deployment, and maintenance • Expertise in data modeling, data warehousing, and pipeline development • Strong SQL skills • Production programming and software experience; Python or 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 • Ability to work independently using established problem-solving practices and patterns • Experience with ETL tools such as dbt • Experience with orchestration tools such as Apache Airflow • Experience integrating with BI/analytics platforms such as Apache Superset • Experience in data analysis or quantitative research • Demonstrable deployment of agentic AI workflows for engineering problems • Experience designing, deploying, and maintaining real or near-real-time streaming or CDC solutions • Experience monitoring deployed pipeline health, including alerts and actionable data quality checks • Minimum of 3–5 years of professional experience • Must be an American citizen or lawful permanent resident with a Green Card

🏖️ Benefits

• Health insurance coverage • 6 weeks of paid time off • Retirement benefits • ESOP participation • Creative team and workplace where you can learn and laugh • Long-term relationships with smart, engaged clients