Data Engineer

Reach Financial is a financial services provider that is helping people outsmart debt for good. As a Data Engineer II, you will contribute to the modernization of Reach's data platform by designing, building, and maintaining data pipelines and models that support reporting and analytics.

Responsibilities:

• 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, and opportunities for automation
• Contribute to engineering best practices around testing, version control, documentation, and data 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

Requirements:

• 3–5 years of hands-on experience in Data Engineering, Analytics Engineering, or a related data-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 with Snowflake (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 them effectively
• 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 SOC2 and PCI-DSS environment