Head of Data Engineering

Step is a next generation financial services company building the best banking experience to help teens and young adults achieve financial independence and knowledge at an earlier age.  Step’s mission is to create a bank that gives you the tools to become smarter with your money and reward you along your financial journey. Step is a well-funded Series C company focused on disrupting banking through a differentiated mobile-first consumer experience.  The founding team has extensive background in FinTech and building successful consumer products and brands. If you’re looking to join a fast-growing company with a strong mission and vision that puts people first, we want to meet you.

Role

As a Head of Data, you will lead the Data Team at Step, which is comprised of Analytics, Data Science, and Data Engineering. You will define our data strategy, help us architect the data platform, and work with other stakeholders at the company to address their data needs, with an eye to Step’s overall business goals. The team is currently at the size that will require the lead to be hands-on.

Responsibilities 

• Lead Analytics, Data Science and Data Engineering teams
• Evolve Step's Data Platform to meet changing business requirements
• Partner with various stakeholders within the business, understand their data and reporting requirements, and translate them into definitions and technical specifications
• Be responsible for defining, developing and optimizing curated datasets and schemas with standardized metrics and definitions across the company
• Develop, deploy and maintain ML models
• Develop, deploy and maintain ETL jobs and visualizations
• Build a Data Roadmap for the company and a hiring plan behind it. Execute on the hiring plan.

Must haves 

• 10+ years working experience in a successful data engineering, data science or business intelligence team
• Experience leading an engineering team in a technical leadership or people management capacity
• Expert knowledge in data modeling concepts and implementation
• Strong technical accomplishments in ML, SQL, ETLs and data analysis
• Hands on experience in processing large data sets
• Strong business intuition and ability to understand complex business systems

Core technologies we use

• PostgreSQL
• BigQuery
• AirFlow
• Apache Beam/Spark

Salary Range

• Base pay salary range is $220,000-$250,000 and stock in early stage startup
• Salary will be determined by a variety of factors including job-related skills, experience, qualifications, work location, and market conditions.

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Last updated on Apr 12, 2024