Senior Data Engineer

Upgrade is a fintech company that provides affordable and responsible credit, mobile banking, and payment products to everyday consumers. We were the fastest growing company in the Americas last year according to the Financial Times and Upgrade Card was the fastest growing credit card in America two years in a row. We have delivered over $25 billion in affordable and responsible credit to our 2.7M customers. The company is backed by some of the most prominent technology investors and was recently valued at $6.3B.

We have built an energizing, collaborative and inclusive culture where team members help each other, learn and innovate to move the company and its customers in the right direction, and own the outcome of their efforts.

Upgrade has been named a “Best Place to Work in the Bay Area” three years in a row, “Top Companies to work for in Arizona” and one of the "Best Engineering Department" awarded annually by Comparably. We've also received recognition 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 1600 talented and dedicated professionals. Come work with us if you like to tackle big problems and make a meaningful difference in people's lives.

About the Role:

We are in search of a Senior Data Engineer to design, architect, and maintain Upgrade’s DW that supports our data and analytical needs for our rapidly evolving suite of financial products. This role will partner closely with our Data Engineering, Backend, TechOps, Product, Marketing, Finance, and Risk Teams. This is a fully remote position that can be located anywhere in the US.

What You'll Do:

• Quickly gain a deep understanding of the business and how data flows through the organization and through the data engineering codebase while playing a key role in building an efficient and scalable data and reporting layer for the organization.
• Build and scale awesome data pipelines to enrich our Enterprise Data warehouse.
• Set up tools and processes for effective data management and drive data quality across data in the data warehouse.
• Own the design, development, maintenance, and distribution of key data and business metrics and reports. Take a proactive approach to defining new metrics, reports, and dashboards to improve the visibility into data as well as business operations.

What We Look For:

• 4+ years of recent hands-on experience writing complex SQL queries on large data sets in a data warehousing environment.
• 2+ years working with datasets/dataframes in Python (pandas / numpy / dask).
• Experience with columnar database table design and building data pipelines (Redshift and/or Snowflake).
• Experience with building data pipelines with task orchestrators such as Airflow/Google Dataflow/Luigi etc.
• Excellent verbal and written communication skills – Ability to synthesize complex ideas and communicate them in very simple ways.
• Highly analytical and detail-oriented.
• Ability to troubleshoot and fix issues quickly in a fast-paced environment.

Nice to Have:

• Worked with real time big data pipelines using distributed data processing systems using Apache Spark/AWS Glue/Beam
• Worked with containerization using docker and kubernetes.
• Financial services experience.
• Reporting and data visualization skills.

What We Offer You:

• Competitive salary and stock option plan
• 100% paid coverage of medical, dental and vision insurance
• Flexible PTO
• Opportunities for professional growth and development
• Paid parental leave
• Health & wellness initiatives

#BI-Remote

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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.