Senior Data Engineer
Asbury Park
Solar Landscape
About The Role
We’re looking for a Senior Data Engineer to lead the design, development, and implementation of robust data pipelines essential for Solar Landscape’s Data Operations. In this role, you will oversee data management and integration related to subscribers, solar assets, renewable energy credits, and business operations. You’ll also mentor junior data engineers, manage task prioritization, and interact closely with internal stakeholders to drive data-driven decisions.
Responsibilities
- Design, build, and maintain scalable data pipelines to manage large-scale data efficiently and securely.
- Ensure reliable integration and automation of data streams across various data sources and business units, including subscribers, solar assets, renewable energy credits, and operational data.
- Collaborate closely with stakeholders across multiple departments to understand data requirements and provide actionable insights.
- Work closely with other engineers—both US-based and offshore—to ensure high-quality, maintainable, and well-documented code across projects.
- Mentor and guide junior data engineers, promoting best practices in data pipeline development, documentation, and deployment.
- Contribute to architectural decisions and help define development standards and best practices across the engineering team.
- Use GitHub for version control and Jira for task management to support efficient, transparent, and collaborative development cycles.
- Oversee data quality, integrity, and security, ensuring compliance with company standards and industry regulations.
- Stay current with emerging technologies and propose new tools or frameworks to improve product quality and development velocity.
- Communicate complex data solutions and pipeline strategies effectively to both technical and non-technical stakeholders
Requirements
- 5+ years of experience in Data Engineering, Data Science, or a closely related field, specifically dealing with large-scale data management and pipeline development.
- Proficiency with cloud-based data solutions, especially Microsoft Azure, including data lake management, ETL/ELT processes, and data warehousing.
- Strong programming skills in Python, SQL, and additional languages relevant to data engineering.
- Strong understanding of Git workflows (GitHub) and agile development practices (Jira).
- Experience collaborating with distributed teams, including offshore developers.
- Ability to balance long-term technical vision with short-term delivery needs.
- Excellent problem-solving skills, with a focus on delivering clean, maintainable, and performant code.
- Effective communicator comfortable working across technical and non-technical teams.
- A passion for clean technology and using software to accelerate positive climate impact.
Nice to Have
- Familiarity with Microsoft Dynamics 365, PowerApps, or Power BI.
- Prior work in the energy, clean tech, or infrastructure industries.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Data management DataOps Data pipelines Data quality Data Warehousing ELT Engineering ETL Git GitHub Industrial Jira Pipelines Power BI Python Security SQL
Perks/benefits: 401(k) matching Competitive pay Flex hours Flex vacation Health care Snacks / Drinks Team events
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