Upgrade is a fintech unicorn founded in 2017. We are the fastest-growing company in the Americas (Financial Times). In the last five years, over 15 million people have applied for an Upgrade card or loan, and we have delivered over $10 billion in affordable and responsible credit. Our innovative Upgrade Card is the fastest growing credit card in America (Nilson Report). Combining the flexibility of a credit card with the low cost of an installment loan helps us redefine banking.

Upgrade has been named a “Best Place to Work in the Bay Area” three years in a row, one of the “Top Companies to work for in Arizona”, and we have received awards for being a best company for Diversity, Women, Culture, and Veterans.

 

We are looking for new team members who get excited about designing and delivering new and better products to join a team of 900 talented and passionate professionals. Come join us if you like to tackle big problems and make a meaningful difference in people's lives.

This is a remote position based in the United States. At this time we are unable to provide international relocation for this role.

Our Data Operations Engineer will work closely with our Principal DevOps Engineer and should have extensive experience with owning operational tasks on high throughput and complex OLTP RDBMS, including some DBA work on administration, memory, CPU, scoping, configs, maintenance and tuning of DBs (we use Postgres) as well as running pipeline jobs (CI/CD). You’ll need excellent automation skills in data operations and DevOps (Ansible/Terraform), DMS / data pipelining (Redshift, Snowflake, Airflow, or Tableau).

What You'll Do:

• Own end-to-end production-level data operations tasks including tickets management, data pulls, and data-related requests (automated/manual) from multiple teams.
• Lead the design, development, implementation, monitoring and maintenance of Upgrade's data management systems. 
• Lead the development of standards and procedures to maximize DBMS performance, scalability, resilience, security, and data integrity.
• Be available during the on-call rotation – a must (PagerDuty, OpsGenie, etc.)

What We Look For:

• 4+ years of experience with data engineering and operations, including administering production-level, always-on, high throughput, complex OLTP RDBMS.
• In-depth and hands-on knowledge of AWS, Redshift, PostgreSQL (version 9.6+).
• Strong programming/scripting knowledge (SQL, Python, Bash, Go).
• Excellent understanding of Data Operations and DevOps (Ansible/Terraform).
• Experience with Docker and Kubernetes.
• Production-level experience with data migration/management and data pipelining (Redshift, Snowflake, Airflow, Tableau).
• Knowledge of SQL Server a plus.

Who You Are:

• Highly motivated and self driven.
• Enjoy learning new technologies and applying that to solving problems.
• Enjoy collaborating and working in small teams.
• Technically strong and hands-on.
• Good at multitasking and thrive in fast paced environments.
• Methodical, thorough, and solution oriented.

What We Offer You:

• Competitive salary and stock option plan. 
• 100% paid coverage of medical, dental and vision insurance. 
• Unlimited vacation. 
• Learning stipend for personal growth and development. 
• Paid parental leave.  
• Health & wellness initiatives.

Interested in joining Upgrade but don't think this role is for you? Check out our careers page!