Data Engineer
Reach · United States · Posted Jul 6, 2026
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Compensation: $100-125k base + bonus based on experience and location
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 II, you will be a key contributor to Reach's data platform modernization efforts. Working closely with Data Engineering, Analytics, Product, and Platform Engineering teams, you will design, build, and maintain reliable data pipelines, transformations, and models that power reporting, analytics, and operational decision-making.
This role is ideal for an engineer who can independently deliver solutions to well-defined problems, participate in technical design discussions, and continuously improve the quality and reliability of our data ecosystem.
What You'll Do
Design, build, and maintain scalable data pipelines, transformations, and data models using modern ELT practices
Participate in incident response and operational support activities, including occasional off-hours coverage for critical production issues, data incidents, and major platform deployments
Develop and support data assets that enable reporting, analytics, and operational workflows
Participate in technical design discussions and contribute to implementation planning and solution documentation
Collaborate with analysts, data scientists, software engineers, and business stakeholders to understand requirements and deliver effective data solutions
Troubleshoot data quality, reliability, and performance issues across data pipelines and systems
Monitor and improve existing implementations by identifying gaps, inefficiencies, andopportunities for automation
Contribute to engineering best practices around testing, version control, documentation, anddata quality
Support deployment and maintenance of data pipelines through established CI/CD processes
Participate in code reviews and provide constructive feedback to peers
Continuously develop technical expertise and apply new tools, techniques, and approaches where appropriate
What We're Looking For
Required Qualifications
3–5 years of hands-on experience in Data Engineering, Analytics Engineering, or a relateddata-focused role
Experience working in a product-oriented data squad, partnering closely with Product,Analytics, and Engineering to deliver end-to-end data solutions and data products
Experience working with modern data platforms and tools such as dbt (Core or Cloud),Amazon RDS, PostgreSQL, or similar technologies; strongly preferred: experience withSnowflake (our primary data warehouse platform)
Strong SQL skills with experience developing data transformations and data models
Experience building and maintaining ETL/ELT pipelines
Experience with Python or a similar programming language
Understanding of data modeling, warehousing concepts, and relational databases
Experience using Git-based development workflows
Ability to independently manage assigned workstreams and deliver high-quality solutions
Strong communication, collaboration, and problem-solving skills
Demonstrated ability to learn new technologies, tools, and business domains and apply themeffectively
Nice to Have
Experience preparing and modeling data for analysis in Tableau, Sigma, or other BI tools
Experience with reverse ETL / data activation tools such as FiveTran activations, 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 SOC2and PCI-DSS environment
Success in This Role
Successful candidates will:
Independently deliver reliable solutions to defined business and technical problems
Balance implementation speed with maintainability and long-term platform health
Create well-structured solutions to known problems and navigate moderate ambiguity
Identify risks within their work and proactively propose mitigations
Effectively troubleshoot user and system issues while contributing to continuous improvement
Expand their technical expertise and apply new learnings to improve outcomes
Collaborate effectively with stakeholders and engineering partners to clarify requirements anddeliver value
Contribute positively to team culture through knowledge sharing, collaboration, andconstructive feedback
What is it like working at Reach Financial?
Our cultur…