Sungage Financial originates thousands of loans each year through hundreds of different solar installation partners using our solar finance platform.
Our lean team of professionals moves quickly and adapts to the ever-changing demands of our dynamic industry.
This is an exciting opportunity to support the execution of Sungage’s new data warehouse and inform the company’s evolving data architecture.
The Data Engineer will be responsible for expanding, enhancing, and maintaining Sungage’s data warehouse and related infrastructure for effective utilization by internal and external stakeholders.
The position will report to the Director of Data Platform Engineering, and be a vital partner in implementing the company’s broader data strategy.
The role involves data warehouse management (including SQL and Python-based programming to structure data flows and data sources, providing input on data architecture, as well as managing automated data flows, error handling, and other related tasks), and working closely with other members of the Business Intelligence team to promote effective data utilization.
Responsibilities Support & lead segments of data engineering efforts involving the implementation and management of Sungage’s new data warehouse architecture Provide thought leadership on best practices for data warehouse management and design Engage with various internal stakeholders in requirements gathering & test deployed code Review peer code and help in setting coding standards Take ownership over data flow errors, communicating about them and working to resolve them as efficiently as possible Work closely with the rest of the Business Intelligence team and other internal stakeholders to understand the needs of the business and build data resources to best meet those needs Requirements Minimum of 4+ years of experience in data engineering or a related role Comfort with being responsible for a vital business resource, including taking ownership of its performance, articulating areas for improvement, and working to implement enhancements Demonstrable experience in SQL and core data management principles (such as ETL/ELT, data warehousing architecture, OLAP principles, query design, and performance tuning) Strong foundations in Python Experience in requirements gathering Strong communication skills and a willingness to learn Excellent attention to detail Desired, but not required Demonstrated experience with AWS Lambda, Fivetran, Snowflake, DBT, MDM and OLAP concepts, Data modeling/Architecture Sungage Financial is an affirmative action-equal opportunity employer.
We believe diversity and inclusion are essential to living our values, achieving our business goals and building a stronger company. We welcome applications from all qualified individuals regardless of race, color, national origin, gender, sexual orientation, age, religion, physical or mental disability, marital status, veteran status, or other factors protected by law.
The Company Sungage Financial is shaping the residential solar industry by bringing reliable and flexible financing solutions to the market.
While the cost of a solar energy system has dropped dramatically over the past decade, financing has been the catalyst that has allowed more and more homeowners to go solar.
Through our offering, Sungage enables solar installers to build strong and resilient businesses while helping families save money and live more sustainably.
Sungage is an environment of rapid change and constant growth. The key ingredients to our success are exceptional service and innovative technology and the amazing team that makes it all happen.
The Company has offices in downtown Boston and Oakland.
We offer a number of employee benefits, including stock options, 401k with matching, substantial paid time off, health coverage, health savings accounts, and commuter benefits.
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Senior Data Engineer • Boston, MA, US
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