Senior Data Engineer

Reach Financial is a financial services provider that is helping people outsmart debt for good.

We deliver innovative financial products using modern technology and tools to enable our customers to take control of their debt and de-mystify their personal finances. Our platform empowers our customers to turn their financial goals into a reality.

Reach Financial launched in 2015 and has helped our customers pay off over $1 billion in debt. We offer debt consolidation loans and personal loans, and together these markets represent a $1.5T opportunity. In time, we will expand beyond these products to offer solutions for a variety of our customers’ personal finance challenges.

As a data engineer at Reach, you’ll be working on our data platform modernization effort alongside our existing Data Engineering team. You’ll be a key contributor to our holistic data practice, implementing pipelines, models, transformations and more as we look to finish our ongoing modernization of Reach’s legacy data stack and begin a new era of cohesive data design and management as part of the greater Engineering organization.

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  Develop and manage data pipelines, models, schemas, and data artifacts as a core contributor on our data squad

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  Champion best practices in data engineering, including data quality, version control, and documentation

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  Work alongside our Data Engineers as well as peer Software and Platform Engineers to evolve and enhance existing best practices and infrastructure

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  Partner with data scientists, analysts, and stakeholders to understand data requirements and translate them into technical solutions

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  Stay up-to-date on the latest data engineering tools and technologies, and help evaluate new solutions to optimize our data ecosystem

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  Collaborate with Platform engineers to ensure seamless integration and deployment of data pipelines via common CI/CD toolkits like Terraform and Github Actions

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  Monitor and troubleshoot data pipelines, proactively identifying and resolving issues

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  Develop and maintain documentation for data pipelines and processes

• 5+ years of hands-on experience in data engineering, working with dbt (Core or Cloud), Snowflake, Amazon RDS, PostgreSQL, etc

• Extensive knowledge of SQL and NoSQL data stores

• Production experience working with and managing a Snowflake deployment

• Experience extracting information from SaaS systems like Salesforce using ETL tools like FiveTran

• Production experience using dbt Cloud or other source-driven transformation management tools

• Experience with Infrastructure as Code and Database Change Management tooling

• Experience with operational database management, including backup, recovery, tuning, data modeling, scaling

• Demonstrated experience with Python, Java, Scala, or similar languages

• Must be self-motivated, focused, and highly committed to delivering value

• Experience preparing data for analysis in Tableau, Sigma, or other BI tools

• Experience with reverse ETL tools such as Census, Hightouch, etc

• Familiarity with DBT coding conventions and Medallion data architecture (i.e. Bronze, Silver, Gold data layers)

• Experience working in the Financial Services industry and familiarity with working in a SOC2 and PCI-DSS environment.

Our culture is built around advancing our teams, and we are dedicated to the success and growth of every team member. We believe in retaining a high-performing workforce and we prioritize diversity, intellectual curiosity, and continued learning. Our generous benefits packages reflect that.

We’ve been hard at work perfecting our product for years, and now we’re growing faster than ever before. Our strong foundation and company culture is readily equipped for this growth, and we believe that with the right people, our products will continue to help customers make real changes in their financial lives.