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Data Engineer

Reach
Full Time
United StatesPosted 16 days ago

Role Overview

Reach is hiring a Data Engineer. This is a full-time role in United States. Part of Reach's Data Engineering hiring, posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Data Engineering roles is $140k-$178k (based on 62 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

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PythonSQLPostgreSQLGitdbtCI/CDTableauOR

Job description

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

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

What benefits will you receive?

  • Remote First Culture with optional Hybrid opportunities
  • Healthcare, Life Insurance, 401k Match
  • Paid Time Off, Paid 12-week Parental Leave
  • Disability (short-term, long-term), Employee Assistance Program
  • Spending Accounts (Transit/Parking, Medical, Dependent Care)
  • Insurance Discounts (home, auto, pet)

Reach Financial is an equal opportunity employer that is committed to diversity and inclusion inthe workplace. We prohibit discrimination and harassment of any kind based on race, color, sex,religion, sexual orientation, national origin, disability, genetic information, pregnancy, or anyother protected characteristic as outlined by federal, state, or local laws. This policy applies to allemployment practices within our organization, including hiring, recruiting, promotion,termination, layoff, recall, leave of absence, compensation, benefits, training, andapprenticeship. Reach Financial makes hiring decisions based solely on qualifications, merit,and business needs at the time.

Location

  • Continental US and Canada
  • Willing to attend online meetings with staff that are mainly in Eastern and Central timezones
  • Able to travel to NYC periodically (e.g., 1-2 times a year)

About Reach

Reach logo

Reach

reach.com

Data EngineeringOn-site

1 other open role at Reach on TryApplyNow.

Frequently Asked Questions

How do I apply for the Data Engineer position at Reach?

Use the Apply button above to submit your application directly to Reach. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Data Engineer position at Reach located?

This position is based in United States. Reach has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Data Engineer at Reach earn?

Reach has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Data Engineer role at Reach posted?

This role was posted on July 6, 2026 (16 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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