Job Description

Posted on:

October 27, 2024

About GoodLeap

GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, ranging from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology, making these products more affordable and accessible. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to enhance customer communication, business intelligence, and streamline operations. Our platform has facilitated over $27 billion in financing for sustainable solutions since 2018. GoodLeap also supports our award-winning nonprofit, GivePower, which constructs and deploys life-saving water and clean electricity systems, positively affecting over 1.6 million people across Africa, Asia, and South America.

Position Summary

The GoodLeap team is seeking a hands-on Data Engineer with a strong background in Data Analysis, Business Intelligence, and development. The ideal candidate is passionate about quality and has a keen eye for detail, creating intuitive, secure, and performant customer experiences. This role requires close collaboration with cross-functional teams to effectively manage the complex interdependencies inherent in the applications. We are looking for a hardworking and passionate engineer eager to impact the products they develop.

Essential Job Duties & Responsibilities:

  • Implement data integrations across the organization and with business applications.
  • Participate in the design and development of projects, either independently or collaboratively.
  • Utilize agile software development lifecycle and DevOps principles.
  • Serve as data stewards, upholding quality and availability standards for downstream consumers.
  • Take ownership of projects from inception to delivery.
  • Provide mentorship to team members, including pair programming and skills development.
  • Participate in data design and architecture discussions, considering solutions within the GoodLeap ecosystem.

Required Skills, Knowledge & Abilities:

  • 4-7 years of full-time Data Analysis and Development experience.
  • Experience with end-to-end reporting & analytics technology: data warehousing (SQL, NoSQL) to BI/Visualization (Tableau, PowerBI, Excel).
  • Degree in Computer Science or related discipline.
  • Proficiency in DataBricks or other modern data warehouses.
  • Expertise with relational databases (including functional SQL/stored procedures) and non-relational databases (MongoDB, DynamoDB, Elastic Search).
  • Experience in orchestrating data pipelines with modern tools such as Airflow.
  • Solid understanding of performance implications and scalability of code.
  • Familiarity with Amazon Web Services (IAM, Cognito, EC2, S3, RDS, Cloud Formation) and serverless technologies (Lambda, SQS, SNS, SES).
  • Experience working with serverless applications on public clouds (e.g., AWS).
  • Ability to manage large, complex codebases.

Salary:

$137,000 - $175,000 a year

Additional Information Regarding Job Duties And Job Descriptions:

Job duties include additional responsibilities assigned by supervisors related to the position/department. This job description is intended to describe the general nature and level of work performed; it is not meant as an exhaustive list of all responsibilities and skills required. The Company reserves the right to alter job responsibilities and assign additional duties, subject to applicable law. Reasonable accommodations will be provided for known disabilities to enable qualified applicants to enjoy the benefits and privileges of employment as required by law.

If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, we want to work with you! Apply today!

Secret insights

GoodLeap is booming with 24% headcount growth, now at 986 employees. Engineering grew 30%—they're prioritizing tech. HR is strong, showing they care about their team. A hot spot for AI talent!