Senior Data Engineer

What is Reach Financial?

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.

About the role:

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.

Compensation: The range for this position is $150,000 - $200,000 annually. The salary offered will be based on experience, qualifications, and geographic location.

What you will do: 

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

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

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

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

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

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

• Monitor and troubleshoot data pipelines, proactively identifying and resolving issues

• Develop and maintain documentation for data pipelines and processes

What you should have: 

• 5+ years of hands-on experience in data engineering, working with dbt (Core or Cloud), Snowflake, Amazon All jobs at Reach →