Data Engineer

Reach Financial • New York, NY

1d • Remote

About The Position

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.

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

Nice To Haves

• 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

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

Benefits

• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed