Reach
Data Engineer
United States
Sponsorship not specified$100k-$125kDetected 16 days ago
PythonCode ReviewGitSQLPostgreSQLCI/CDPlatform EngineeringdbtData EngineeringData VisualizationIncident ResponseComplianceCommunicationCollaborationProblem Solving
About the role
- As a Data Engineer II, you will be a key contributor to Reach's data platform modernization efforts.
Responsibilities
- Design, build, and maintain scalable data pipelines, transformations, and data models using modern ELT practices
- 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
- Support deployment and maintenance of data pipelines through established CI/CD processes
- Continuously develop technical expertise and apply new tools, techniques, and approaches where appropriate
- 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.
- 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.
- 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.
Requirements
- 3-5 years of hands-on experience in Data Engineering, Analytics Engineering, or a relateddata-focused role
- Experience with Python or a similar programming language
- Experience using Git-based development workflows
- Demonstrated ability to learn new technologies, tools, and business domains and apply themeffectively
- Required Qualifications
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:
- Identify risks within their work and proactively propose mitigations
- Effectively troubleshoot user and system issues while contributing to continuous improvement
Compensation
- 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.
Benefits
- Balance implementation speed with maintainability and long-term platform health
- Healthcare, Life Insurance, 401k Match
- Paid Time Off, Paid 12-week Parental Leave
- Disability (short-term, long-term), Employee Assistance Program
Company info
- What We're Looking For
This listing is sourced directly from Reach's careers page and normalized into a canonical job model.