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Senior Data Engineer

About Us

 

Solar Landscape is the leading commercial and community solar developer in the United States. We partner with the world's largest real estate companies to develop, install, and operate solar projects on commercial and industrial rooftops. Through our groundbreaking community solar model, households in surrounding communities can subscribe to receive solar power at a guaranteed discount.

 

To date, Solar Landscape has deployed over 500 megawatts of renewable energy projects totaling over $1 billion in capital investment. Solar Landscape was named the #1 Distributed Generation developer for 2023 by New Project Media and was awarded the U.S. Department of Energy’s Equitable Community Solar Grand Prize.

 

For more about Solar Landscape, visit www.solarlandscape.com

 


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.


Benefits and Perks

 

Solar Landscape’s company culture is second to none. 

Our employees combine our mission, grit and drive with a rebel’s attitude that is changing the industry: 

·       Located in the heart of historic Asbury Park, our state-of-the-art office space offers flexible workstations encouraging collaboration and movement.  

·       Employees come together to eat every day! Like in a home, our gourmet kitchen is the heart of the office. Solar Landscape has a full-time in-house chef cooking daily farm-to-table meals using locally sourced organic food. 

·       Also included for employees is our competitive compensation package; a 401(k) employer-match; health, dental, & vision insurance, flexible paid time off and holiday PTO; We provide healthy snacks, coffee, volunteer opportunities, company outings, and more!

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What You Should Know About Senior Data Engineer, Solar Landscape

Join Solar Landscape as a Senior Data Engineer and step into a pivotal role where you’ll lead the charge in designing, developing, and implementing robust data pipelines that form the backbone of our Data Operations. Based in the vibrant community of Asbury Park, you'll work with a dedicated team that focuses on delivering clean technology solutions to revolutionize solar power usage across the United States. In this position, you will take on responsibilities that include ensuring reliable data integration and automation across various sources—ranging from subscriber management to renewable energy credits. Your expertise will help drive data-driven decisions that shape our business operations. Collaboration is key here, as you’ll work closely with internal stakeholders and mentor junior data engineers, fostering a culture of excellence and innovation. At Solar Landscape, we value transparency and quality, so you will utilize GitHub and Jira for seamless version control and task management. Joining us means you’re part of a mission-oriented team that not only cares about efficiency and security in data management but also embraces flexibility and community through personal interactions in our gourmet kitchen, where we believe good meals fuel great ideas. Come be a part of our journey as we continue to push the boundaries in renewable energy projects.

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Solar Landscape
What does a Senior Data Engineer at Solar Landscape do?

A Senior Data Engineer at Solar Landscape is responsible for designing, developing, and implementing scalable data pipelines that efficiently manage large-scale data from various sources. You will collaborate with stakeholders across departments to gather data requirements and deliver actionable insights while mentoring junior engineers.

Join Rise to see the full answer
What qualifications are needed for the Senior Data Engineer position at Solar Landscape?

To qualify for the Senior Data Engineer role at Solar Landscape, candidates should have 5+ years of experience in Data Engineering or a related field, proficiency in cloud-based solutions like Microsoft Azure, and strong programming skills in Python and SQL. Effective communication skills are also essential for collaborating with both technical and non-technical teams.

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What tools and technologies will I use as a Senior Data Engineer at Solar Landscape?

In the Senior Data Engineer role at Solar Landscape, you will work extensively with Microsoft Azure for data lakes and ETL processes, as well as GitHub for version control and Jira for task management. Familiarity with Microsoft Dynamics 365 and Power BI is a plus, enhancing your capability to derive insights from data.

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What kind of team dynamics can I expect working as a Senior Data Engineer at Solar Landscape?

At Solar Landscape, you can expect a collaborative environment with a mix of in-house and offshore teams. You'll work closely with engineers from diverse backgrounds while also taking responsibility for mentoring junior data engineers, promoting best practices, and ensuring high-quality code across projects.

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What are the benefits of working as a Senior Data Engineer at Solar Landscape?

Working at Solar Landscape comes with a competitive compensation package, health benefits, a 401(k) employer match, and flexible paid time off. Additionally, employees enjoy a unique company culture with a gourmet kitchen, farm-to-table meals, healthy snacks, and regular company outings that foster camaraderie and teamwork.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with designing data pipelines for large-scale data projects?

In answering this question, detail your previous projects where you were responsible for the entire pipeline process, highlighting the technologies used and challenges faced. Be sure to focus on how your contributions led to improved data accessibility or efficiency.

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How do you ensure data quality and integrity in your engineering practices?

Discuss methodologies that you implement to check data quality, such as validation rules, automated testing, and monitoring systems. Concrete examples will illustrate your commitment to maintaining high data standards.

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Describe a time you had to work closely with non-technical stakeholders. How did you communicate complex technical solutions?

Share a specific instance where you translated technical data solutions into layman's terms. Focus on your approach to ensure understanding and how it impacted stakeholder decision-making.

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What is your approach to mentoring junior data engineers?

Express your passion for helping others grow and provide examples of how you have mentored others before, including the techniques you employ to promote best practices and foster a supportive learning environment.

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How do you handle tight deadlines or conflicting priorities in your work?

Discuss your prioritization strategies, such as using task management tools or agile practices, emphasizing your ability to balance long-term technical vision with immediate project needs.

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What technologies or tools do you believe are essential for data engineering today?

Talk about modern data engineering tools, such as data lakes, ETL frameworks, and cloud-based solutions. Mention how you stay informed about industry trends and emerging technologies.

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Can you give an example of how you’ve collaborated with offshore teams?

Share your experiences working with distributed teams, focusing on communication tools utilized, time management strategies, and how you bridged cultural differences to achieve project goals.

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How do you approach implementing changes to improve a data pipeline?

Discuss your process for evaluating existing pipelines, gathering input from stakeholders, and adapting based on feedback. Highlight any successful changes you've made that led to measurable improvements.

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Explain your experience with version control and task management systems.

Detail your familiarity with GitHub and Jira, emphasizing how you leverage these tools to manage code versions effectively, track progress, and collaborate with your team.

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What excites you about working in clean technology and renewable energy?

Share your passion for sustainability and innovation within clean tech. Discuss how your personal values align with Solar Landscape's mission and your motivation to make a positive environmental impact through your work.

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DATE POSTED
April 12, 2025

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