Senior Data Operations Engineer (Remote) at Upgrade | Powderkeg

Location: Remote - US

Employment Type: Full-Time

Team: Technology Operations

Upgrade is a fintech unicorn founded in 2017. We are the fastest-growing company in the Americas (Financial Times). Our innovative Upgrade Card is the fastest-growing credit card in America (Nilson Report). Upgrade has been named a “Best Place to Work in the Bay Area” and received “Best Engineering Team", "Best Company for Women” and “Best Company for Diversity” awards from Comparably. 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.

_ About Our Team:_

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!

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

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Summary
  • Job Title
    Senior Data Operations Engineer (Remote)
  • Company
  • Location
    San Francisco, CA
  • Employment Type
    Full time
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