Full Stack Software Developer (Internal Tools)

VEIR • Woburn, MA

3h • $110,000 - $130,000

About The Position

As a Software Developer on VEIR's Product team, you will join a small, cross-functional data analytics group building tools that directly shape how VEIR delivers value -- both internally and to external energy customers. Your primary focus is software development: designing and maintaining the backend systems, APIs, and data pipelines that power VEIR's analytics platform. You will also work closely with data on the secondary side, contributing to models, algorithms, and analytical outputs that inform product development and energy consulting services. This role is well-suited for a developer who has spent time in data-heavy environments -- energy tech, a data platform company, or a technically rigorous startup -- and who is comfortable moving between writing clean backend code and wrangling complex datasets. You will work directly with internal stakeholders across engineering, product, and business development, translating requirements into production-ready software.
In the first 3 months you'll
Ramp on VEIR's existing data infrastructure, codebase, and analytics tooling -- understanding current architecture, data sources, and outstanding technical debt.
Contribute on bi-weekly sprints, developing incremental improvements to existing backend services or data pipelines.
Build working relationships with key internal stakeholders across product, engineering, and business development to understand how tools are used.
Establish proficiency with VEIR's cloud environment (GCP or Azure) and development workflows, including CI/CD and version control practices.
Identify and document two to three near-term areas where backend or pipeline improvements would have the highest impact on data reliability or system performance.
In the first 6 months you'll
Own end-to-end development and delivery of at least one new feature or tooling component, from scoping through deployment.
Design and implement improvements to data pipeline reliability, performance, or scalability based on findings from your initial ramp.
Contribute meaningfully to secondary analytics work -- supporting or building models, algorithms, or statistical outputs that feed internal or external deliverables.
Develop and maintain API integrations or backend services that internal stakeholders depend on for day-to-day analytics workflows.
Participate actively in sprint planning, code reviews, and retrospectives, demonstrating consistent output and quality.
By the end of the first year you will have
Be a recognized owner of one or more significant components of VEIR's analytics platform -- backend services, data pipelines, or modeling infrastructure -- and be responsible for their ongoing reliability and improvement.
Have shipped multiple production-quality features or tools that are actively used by internal stakeholders or incorporated into customer-facing deliverables.
Demonstrate measurable improvement to data pipeline performance, reliability, or coverage within your owned domain.
Contribute to the team's technical direction by surfacing architectural recommendations and helping evaluate technology choices.
Maintain a track record of clear, consistent communication with non-technical stakeholders, translating technical work into actionable insights and status updates.

Requirements

• 3-5 years of professional software development experience, with a demonstrated track record of full stack development or experience building software applications end to end, APIs, or data pipelines in production environments.
• Strong Python and SQL proficiency -- you write clean, maintainable code and are comfortable with data manipulation at scale.
• Experience using AI coding tools (Claude Code, Cursor, Copilot, etc.) as part of daily workflow without sacrificing code quality.
• Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS), including compute, storage, and managed data services.
• Familiarity with Agile development practices, including sprint-based delivery, version control, and code review processes.
• Experience communicating technical work to non-technical stakeholders, including verbal updates, written documentation, and data visualizations.
• A secondary foundation in data analytics -- descriptive statistics, data modeling, or algorithmic processing -- that allows you to contribute meaningfully to analytical deliverables, not just infrastructure.
• Comfortable working independently in a fast-paced, research-oriented environment with multiple concurrent priorities.
• Energized by solving hard, ambiguous problems and iterating quickly toward production-quality outcomes.
• Collaborative and low-ego -- you share context openly, receive and apply feedback, and operate effectively across functional boundaries.
• Driven by impact -- you prioritize ruthlessly, move with urgency, and hold yourself accountable to measurable results.
• Curious about the energy transition and motivated by VEIR's mission to modernize power delivery infrastructure.

Nice To Haves

• Exposure to energy systems, power grid modeling, transmission planning, or related domains, including tools such as energy or grid modeling software or techno-economic analysis frameworks.
• Experience with distributed energy resources (DER) forecasting or energy market data.

Responsibilities

• Designing and maintaining the backend systems, APIs, and data pipelines that power VEIR's analytics platform.
• Contributing to models, algorithms, and analytical outputs that inform product development and energy consulting services.
• Translating requirements into production-ready software.
• Developing incremental improvements to existing backend services or data pipelines.
• Designing and implementing improvements to data pipeline reliability, performance, or scalability.
• Supporting or building models, algorithms, or statistical outputs that feed internal or external deliverables.
• Developing and maintaining API integrations or backend services that internal stakeholders depend on for day-to-day analytics workflows.
• Participating actively in sprint planning, code reviews, and retrospectives.
• Owning end-to-end development and delivery of new features or tooling components.
• Surfacing architectural recommendations and helping evaluate technology choices.
• Maintaining ongoing reliability and improvement of analytics platform components.

Benefits

• Healthcare coverage with 100% employer paid premiums for medical, dental, and vision
• 401(k) Retirement Savings Program
• 12 Company Holidays + unmetered PTO
• 12 Weeks 100% Paid Parental Leave for all new parents
• Stock Options
• Employee Assistant Program (EAP)
• Regular teambuilding, off-sites, and lunch & learns

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed