Data Engineer

Reach Financial

49d•Remote

About The Position

As a data engineer at Reach, you’ll be working on our data platform modernization effort alongside our existing Data Engineering team. You’ll be a key contributor to our holistic data practice, implementing pipelines, models, transformations and more as we look to finish our ongoing modernization of Reach’s legacy data stack and begin a new era of cohesive data design and management as part of the greater Engineering organization.

Requirements

3+ years of hands-on experience in data engineering, working with DBT (Core or Cloud) and Snowflake, and familiar with other systems like GitHub, Amazon RDS, PostgreSQL, etc
Extensive knowledge of SQL and NoSQL data stores
Production experience working with and managing a Snowflake deployment
Production experience using dbt Cloud or other source-driven transformation management tools
Experience with operational database management, including backup, recovery, tuning, data modeling, scaling
Must be self-motivated, focused, and highly committed to delivering value

Nice To Haves

Experience extracting information from SaaS systems like Salesforce using ETL tools like FiveTran
Experience with Infrastructure as Code and Database Change Management tooling
Experience preparing data for analysis in Tableau or other BI tools
Dev certifications (and/or real-world experience) building clean data models that flow to Snowflake
Demonstrated experience with Python, Java, Scala, or similar languages
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

Develop and manage data pipelines, models, schemas, and data artifacts as a core engineer as part of our data engineering squad
Work alongside our Lead and Senior Data Engineers as well as peer Software and Platform Engineers to evolve and enhance existing best practices and infrastructure
Partner with data scientists, analysts, and stakeholders to understand data requirements and translate them into technical solutions
Stay up-to-date on the latest data engineering tools and technologies, and help evaluate new solutions to optimize our data ecosystem
Collaborate with Platform engineers to ensure seamless integration and deployment of data pipelines via common CI/CD toolkits like Terraform and Github Actions
Monitor and troubleshoot data pipelines, proactively identifying and resolving issues
Develop and maintain documentation for data pipelines and processes