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Reach Financial

<div>What is Reach Financial?
Reach Financial is a FinTech platform helping people outsmart debt for good. 
We are building innovative products and best-in-class support that enable our customers to take control of their debt and de-mystify their personal finances. Our products and tools empower 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; 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. 
We are a fast-growing and fast-paced FinTech startup with the stability of an established firm. You will have a front-row seat at a rapidly growing company innovating the FinTech industry. 
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<ul><li>
Design, build, and maintain scalable data pipelines, transformations, and data models using modern ELT practices</li><li>
Participate in incident response and operational support activities, including occasional off-hours coverage for critical production issues, data incidents, and major platform deployments</li><li>
Develop and support data assets that enable reporting, analytics, and operational workflows</li><li>
Participate in technical design discussions and contribute to implementation planning and solution documentation</li><li>
Collaborate with analysts, data scientists, software engineers, and business stakeholders to understand requirements and deliver effective data solutions</li><li>
Troubleshoot data quality, reliability, and performance issues across data pipelines and systems</li><li>
Monitor and improve existing implementations by identifying gaps, inefficiencies, andopportunities for automation</li><li>
Contribute to engineering best practices around testing, version control, documentation, anddata quality</li><li>
Support deployment and maintenance of data pipelines through established CI/CD processes</li><li>
Participate in code reviews and provide constructive feedback to peers</li><li>
Continuously develop technical expertise and apply new tools, techniques, and approaches where appropriate</li></ul> 
What you should have<ul><li>
3&ndash;5 years of hands-on experience in Data Engineering, Analytics Engineering, or a relateddata-focused role</li><li>
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</li><li>
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)</li><li>
Strong SQL skills with experience developing data transformations and data models</li><li>
Experience building and maintaining ETL/ELT pipelines</li><li>
Experience with Python or a similar programming language</li><li>
Understanding of data modeling, warehousing concepts, and relational databases</li><li>
Experience using Git-based development workflows</li><li>
Ability to independently manage assigned workstreams and deliver high-quality solutions</li><li>
Strong communication, collaboration, and problem-solving skills</li><li>
Demonstrated ability to learn new technologies, tools, and business domains and apply them effectively</li></ul> 
Nice to Have<ul><li>
Experience preparing and modeling data for analysis in Tableau, Sigma, or other BI tools</li><li>
Experience with reverse ETL / data activation tools such as FiveTran activations, Hightouch,etc</li><li>
Familiarity with dbt coding conventions and Medallion data architecture (i.e. Bronze, Silver, Gold data layers)</li><li>
Experience working in the Financial Services industry and familiarity with working in a SOC2and PCI-DSS environment</li></ul> 
Successful candidates will<ul><li>
Independently deliver reliable solutions to defined business and technical problems</li><li>
Balance implementation speed with maintainability and long-term platform health</li><li>
Create well-structured solutions to known problems and navigate moderate ambiguity</li><li>
Identify risks within their work and proactively propose mitigations</li><li>
Effectively troubleshoot user and system issues while contributing to continuous improvement</li><li>
Expand their technical expertise and apply new learnings to improve outcomes</li><li>
Collaborate effectively with stakeholders and engineering partners to clarify requirements and deliver value</li><li>
Contribute positively to team culture through knowledge sharing, collaboration, and constructive feedback</li></ul> 
What is it like working at Reach Financial?
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&rsquo;ve been hard at work perfecting our product for years, and now we&rsquo;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. 
What benefits will you receive?<ul><li> Remote First Culture with optional Hybrid opportunities</li><li> Healthcare, Life Insurance, 401k Match</li><li> Paid Time Off, Paid 12-week Parental Leave</li><li> Disability (short-term, long-term), Employee Assistance Program</li><li> Spending Accounts (Transit/Parking, Medical, Dependent Care)</li><li> Insurance Discounts (home, auto, pet)</li></ul> 
The pay range for this role is: 
120,000 - 150,000 USD per year(Remote (United States))</div>

Data Engineer II

Join Reach Financial and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Reach Financial

About Company

Data Engineer II