Staff Data Engineer, Energy - Remote Eligible

Staff Data Engineer, Energy

San Mateo, CA / San Francisco, CA / Remote, US

Data & Analytics – Data Engineering / Full Time / Remote

The GoodLeap team is looking for a hands-on Data Engineer with a strong background in API data integrations, Spark processing and data lake development. The focus of this role will be on ingesting production energy data and helping get the aggregated metrics to the many teams in GoodLeap that need them. The successful candidate is a highly motivated individual with strong technical skills to create secure and performant data pipelines as well as support our foundational enterprise data warehouse. The ideal candidate is passionate about quality and has a bold, visionary approach to data practices in a modern finance enterprise.

The candidate in this role will be required to work closely with cross-functional teams to effectively coordinate the complex interdependencies inherent in the applications. Typical teams we collaborate with are Analytics & Reporting, Origination Platform engineers and AI developers. We are looking for a hardworking and passionate engineer who wants to make a difference with the tools they develop.

Essential Job Duties and Responsibilities

• Implement data integrations across the organization as well as with business applications
• Develop and maintain data oriented web applications with scalable web services
• Participate in the design and development of projects, either independently or in a team
• Utilize agile software development lifecycle and DevOps principles
• Be the data stewards of the organization upholding quality and availability standards for our downstream consumers
• Be self-sufficient and fully own the responsibility of executing 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 in the context of the larger GoodLeap ecosystem

Required Skills, Knowledge & Abilities

• 6-10 years of full-time Data Analysis and/or Software Development experience
• Experience with an end to end reporting & analytics technology: data warehousing (SQL, NoSQL) to BI/Visualization (Tableau, PowerBI, Excel)
• Degree in Computer Science or related discipline
• Experience with DataBricks/Spark processing
• Expertise with relational databases (including functional SQL/stored procedures) and non-relational databases (MongoDB, DynamoDB, Elastic Search)
• Experience with orchestrating data pipelines with modern tools such as Airflow
• Strong knowledge and hands-on experience with open source web frameworks (e.g. Vue /React)
• Solid understanding of performance implications and scalability of code
• Experience with Amazon Web Services (IAM, Cognito, EC2, S3, RDS, Cloud Formation)
• Experience with messaging paradigms and serverless technologies (Lambda, SQS, SNS, SES)
• Experience working with server-less applications on public clouds (e.g. AWS)
• Experience with large, complex codebases and know how to maintain them

$160,000 - $210,000 a year

Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.

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

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