Data Engineer

Data EngineerData

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Overview

What is Reach Financial? Reach Financial is a financial services provider that is helping people outsmart debt for good.

Technical Tools

Data EngineerData

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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

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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

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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

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

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✓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)

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)