Staff Data Operations Engineer

About GoodLeap :

GoodLeap is a technology company delivering best-class financing and software products for sustainable solutions, 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 that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap's proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018.

GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.

Position Summary

The Staff DataOps Engineer role applies DevOps principles to data platforms, ensuring that pipelines and systems are automated, observable, and reliable at scale. In this role, the engineer partners closely with data engineering, analytics, and infrastructure teams to enable consistent, secure, and performant delivery of data. The Staff DataOps Engineer is a leader who sets strategy for DataOps, designs platform-wide automation and observability patterns, and unblocks teams on their hardest data reliability challenges.

Essential Job Duties and Responsibilities

• Define and drive adoption of CI / CD frameworks, infrastructure-as-code, and automation patterns for data platforms. Strong communication, influence, and empathy are critical.
• Lead multi-quarter initiatives that materially improve the reliability, scalability, or cost efficiency of data systems. Requires composure under pressure, clear decision-making, and the ability to unite cross-functional teams.
• Establish and maintain data observability standards (freshness, accuracy, completeness, lineage). Partner with product and data teams to define and track SLIs / SLOs for critical pipelines.
• Mentor senior and mid-level DevOps and Data Engineers, fostering a culture of automation, reliability, and continual learning.
• Represent DataOps in executive and stakeholder reviews, translating data reliability risks into business impact to support prioritization and decision-making. Strong written communication and clarity are essential.

Required Skills, Knowledge and Abilities

Salary : $173,000 - $200,000 a year. In addition to the above salary, this role may be eligible for a bonus.

Additional Information Regarding Job Duties and Job Descriptions :

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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