Senior Data Engineer at Happy Money

We need one who has 5+ years of experience in MS SQL Server, Postgres, Oracle, ETL technologies (SSIS, Informatica), and a plus if you know Snowflake, Kafka, AWS, Python

ABOUT YOU

• 5+ years of experience in MS SQL Server, Postgres, Oracle, ETL technologies (SSIS, Informatica), and a plus if you know Snowflake, Kafka, AWS, Python
• 3+ years of experience building large data pipelines
• Bachelor’s degree in Computer Science or relevant work expertise
• Experience working cross-functionally with other teams outside of engineering
• Prior experience with financial systems is a plus

ABOUT HAPPY MONEY

Happy Money® is building a happier and more equitable financial ecosystem that seamlessly blends psychology, technology, and a focus on happiness to help consumers go from borrower to saver, investor, and giver. The company provides a path toward improving financial well-being and securing greater happiness – beginning with paying off credit card debt – through its science-enabled, purpose-driven marketplace between mission-aligned capital and consumers. Backed by leading investors including Anthemis Group, Tencent Holdings and CMFG Ventures, Happy Money has helped nearly 150,000 members pay off more than $2.7 billion in credit card debt since inception through its award-winning Payoff Loan™. Founded in 2009, Happy Money has a diverse employee base of over 350 people across the United States.

ABOUT THE TEAM

• Cool project - Build the next generation Enterprise Data Warehouse designed and built from the ground up.
• Cool database - Snowflake on AWS, the leading cloud-native analytic repository featuring separate elastic storage and compute resources, ANSI SQL, unlimited capacity and amazing performance.
• Cool Architecture - Data Vault 2.0 features the best of Inmon's and Kimball's models with a unique approach to supporting rapidly changing data.
• Cool tools - the latest technology for modeling, designing, building and delivering data warehouses in the cloud including the newest ETL/ELT tools.
• Cool teamwork with experts with decades of experience building very large data warehouses and analytic/reporting systems.

ABOUT THE ROLE

• The Data Engineer works closely with other teams to extract, transform and load data from a wide variety of data sources, including in-house databases
• Creating solutions using best practices
• Working cross-functionally with other engineering teams to improve the process and best practices
• Designing, developing, and maintaining solutions to source, integrate, transform, cleanse, normalize and expose/present data to various constituents/consumer groups such as other engineering groups, data science or other end users
• Data Engineers also recommend and influence the adoption of Data related technologies and products;
• Data Engineers are also supporting and working closely with Dev Ops to define, build and assess Data Infrastructure environments