Data Engineer

This is a fully remote position, open to applicants in Vermont.

📋 Description

• Design, construct, maintain, and provide support for dependable, production-quality data pipelines.

• Create reusable modules, frameworks, and components for scalable and sustainable data solutions.

• Comprehend, sustain, and securely modernize legacy data systems and infrastructure.

• Utilize agentic AI tools to enhance work efficiency, quality, and effectiveness.

• Generate clear and robust documentation to ensure maintainability, collaboration, and knowledge sharing.

• Adhere to engineering standards and best practices with a focus on data privacy, security, consistency, and compliance.

• Estimate and project the infrastructure and operational expenses related to data systems.

• Collaborate with technical project managers, software developers, data scientists, DevOps engineers, privacy and security teams, and business development teams.

• Convey technical concepts, findings, trade-offs, and recommendations to clients and internal stakeholders.

• Participate in technical discovery and solution design.

• Mentor and assist technical staff in data infrastructure and engineering initiatives.

⛳️ Requirements

• Senior-level experience is required.

• Expertise in pipeline architecture, development, deployment, and maintenance.

• Proficient in data modeling, data warehousing, and pipeline development.

• Strong SQL skills are essential.

• Experience in production programming and software development; proficiency in Python or Go is preferred.

• Strong capability with containerized deployments in a cloud environment.

• Ability to gather requirements, conduct root cause analysis, and present deliverables to non-technical stakeholders.

• Capacity to work independently while applying established problem-solving practices and methodologies.

• Experience with ETL tools such as dbt.

• Familiarity with orchestration tools like Apache Airflow.

• Experience integrating with BI/analytics platforms such as Apache Superset.

• Background in data analysis or quantitative research.

• Proven track record of deploying agentic AI workflows for engineering challenges.

• Experience in designing, deploying, and maintaining real or near-real-time streaming or CDC solutions.

• Experience in monitoring the health of deployed pipelines, including alerts and actionable data quality checks.

• A minimum of 3–5 years of professional experience is necessary.

• Must be an American citizen or lawful permanent resident with a Green Card.

🏝️ Benefits

• Health insurance coverage is provided.

• Enjoy 6 weeks of paid time off.

• Retirement benefits are available.

• Participate in the ESOP program.

• Join a creative team and workplace where you can learn and enjoy yourself.

• Build long-term relationships with intelligent, engaged clients.