Data Engineer
Description For Data Engineer
Reach Financial, established in 2015, is a transformative financial services provider that has helped customers pay off over $1 billion in debt. They specialize in debt consolidation and personal loans, targeting a $1.5T market opportunity.
As a Data Engineer, you'll be integral to their data platform modernization initiative, working alongside the Data Engineering team. You'll contribute to implementing pipelines, models, and transformations as part of their transition from legacy systems to a modern, cohesive data architecture.
The role requires expertise in data engineering with DBT and Snowflake, along with strong SQL knowledge. You'll collaborate with data scientists, analysts, and platform engineers to deliver technical solutions that meet business requirements. The position offers opportunities to work with cutting-edge technologies and shape the company's data infrastructure.
Reach Financial offers a culture focused on advancement and growth, with comprehensive benefits including healthcare, 401k matching, and parental leave. They maintain a remote-first environment with hybrid options, demonstrating their commitment to work-life balance. The company's rapid growth and strong foundation make it an exciting time to join their mission of helping customers achieve their financial goals.
Responsibilities For Data Engineer
- Develop and manage data pipelines, models, schemas, and data artifacts
- Work with Lead and Senior Data Engineers to evolve best practices and infrastructure
- Partner with data scientists, analysts, and stakeholders to understand data requirements
- Evaluate new data engineering tools and technologies
- Collaborate with Platform engineers for CI/CD integration
- Monitor and troubleshoot data pipelines
- Develop and maintain documentation for data pipelines and processes
Requirements For Data Engineer
- 3+ years of hands-on experience in data engineering
- Experience with DBT (Core or Cloud) and Snowflake
- Extensive knowledge of SQL and NoSQL data stores
- Production experience with Snowflake deployment
- Experience with operational database management
- Must be self-motivated, focused, and highly committed
Benefits For Data Engineer
- 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)
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