Data Operations Engineer (Remote)

Upgrade is a fintech unicorn backed by a top 10 global bank and other leading fintech investors. Founded in 2017, Upgrade has already delivered $3.5 billion in consumer credit and achieved $125 million in annual revenue run rate and cash profitability.
Upgrade is building a neobank offering exceptional value to mainstream consumers, including affordable and responsible credit through cards and loans. In 3 short years 10 million people have already applied for an Upgrade Card or loan.
Upgrade has been named a “Best Place to Work in the Bay Area” by the San Francisco Business Times and Silicon Valley Business Journal 3 years in a row, and received “Best Company for Women” and “Best Company for Diversity” awards from Comparably.
We are looking for new team members who get excited about designing and implementing new and better products to join a team of over 400 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 Canada.

Responsibilities

• Own end-to-end production-level data engineering 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.

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.

Requirements

• At least 4 years of relevant experience in data operations (in-house experience strongly preferred).
• Strong programming/scripting knowledge in building and maintaining ETL using SQL, Python, Bash, Go.
• Excellent understanding of Data Operations and DevOps (Ansible/Terraform).
• In-depth hands-on knowledge of AWS, Redshift, PostgreSQL.
• Experience with Docker, Kubernetes.
• Production-level experience with data migration/management and data pipelining (Redshift, Snowflake, Tableau).
• Understanding of Java applications and microservices architecture is a must.
• Expertise with data engineering and operations across large scale and complex RDBMS, OLTP.

Benefits/Perks

• Comprehensive benefit package: medical, dental, and vision.
• Unlimited vacation policy.
• Flexible working environment.
• Fully remote teams.

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.