Senior Data Engineer I (Postgres DBA)

OppFi is a leading tech-enabled digital finance platform that works with banks to provide financial products and services for everyday Americans. Through a transparent and responsible platform, which includes financial inclusion and excellent customer experience, the Company supports consumers who are turned away by mainstream options to build better financial health.

We are a team of caring, innovative, and inclusive individuals who thrive in being immersed in diverse talents, expertise, perspectives, and backgrounds. Our employees approach every new challenge with an unparalleled ability to see what could be rather than settle for what is. Our business principles guide us and create an open and collaborative culture where we improve 1% every day, and the best ideas always win! We welcome individuals who want to make an impact in the financial system by facilitating credit access, expanding financial inclusion, promoting financial health, and delivering exceptional customer service.

A few other fun facts about us. OppFi is one of the top consumer-rated financial platforms online, maintaining a 4.5/5.0-star rating on Trustpilot. We are a 2025 Crain’s Fast 50™ company and were named on Built In's 2025 Best Places to Work in Chicago.

The Data Engineering team is focused on the design, development, and support for "all things data" at OppFi. This includes the deployment of Postgres databases which support our applications, our Snowflake Data Warehouse and multiple Airflow and Hevo ETLs. As such, you may get to…

• Postgresql Database Administration
• Hands-on work administering and architecting our PostgreSQL Databases in AWS RDS
• Provision new database instances and update configuration of RDS instances with CI/CD tooling (ie: Terraform)
• Enforce corporate data security and privacy standards in the PostgreSQL environment
• High Availability and Disaster Recovery Planning, Drills, and Execution
• Performance tuning and analysis
• Data-related monitoring & alerting in Datadog and Cloudwatch
• User support, Documentation, & Audit support
• Tool evaluation and testing
• Capacity planning and budgeting assistance
• On-call Rotation for Production Support of all Database and ETL Systems
• Conduct regular tests of the RDS (Postgres) disaster recovery plan and document the results of each quarterly test
• Architect and support deployment of complex workloads supporting dozens of micro-services
• Automate common database administration tasks, such as user and environment provisioning
• Develop and train members of the team in following SOPs for common operational tasks
• Data Engineering
• Use Apache Airflow, Hevo, dbt, and Snowflake to make several layers of OppFi data available for reporting, data science, and analytics
• Develop and document audits and controls to ensure the data meets quality standards and alerts the team when thresholds are breached
• Support and refine internal Business Intelligence and Data Warehouse environments
• Collaborate closely with development & internal business teams to build data integrations for our internal applications and services as well as external vendors and partners
• Operate in close partnership with the platform (DevOps) team to develop and maintain database and  ETL infrastructure
• Contribute energy and opinions to the data engineering team
• Participate in the hiring process for technology candidates within a well-defined process
• Promote a culture of testing and data quality improvement within data engineering (ie: unit testing, integration testing, data quality checks, etc)
• Architect ETL solutions for moving large quantities of data across disparate data stores (inter- or intra-cloud environments)
• Contribute to and lead solutioning sessions for new initiatives and technological problems 
• Participate in and lead data modeling and schema design using various data modeling methodologies (ie: Data vault, Kimball, etc)

Requirements:

• 5+ years of related experience working in data teams
• 3+ years managing production PostgreSQL instances
• 3+ years of related data engineering experience
• Substantial SQL experience 
• Scripting proficiency in Python or equivalent 
• Strong collaboration skills
• A strong sense of customer service and empathy

Preferences:

• Experience with Airflow, AWS, Snowflake, Hevo, and DBT strongly preferred
• Experience with containerization technologies and CI/CD tools 
• Experience with Kubernetes, Terraform, EventStoreDB, and MySQL 
• Understanding of Domain Driven Design and Data Vault methodologies 

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