Senior Data Engineer

Job Description

Job Description

About Us

Finix is building the global operating system for fintech, starting with payments. From startups to publicly traded companies, Finix processes tens of billions of dollars annually both in-store and online. Finix was founded in 2015 and is headquartered in San Francisco.

To date Finix has raised over $200M, including a $75M Series C led by Acrew Capital and Lightspeed Venture Partners and backed by American Express Ventures, Bain Capital Ventures, Homebrew, Inspired Capital, Visa, and others

About the Role

Finix’s reporting cluster is the source of truth for operational metrics, customer-facing reports, billing, actionable insights, and a host of business-critical KPIs. As a Data Engineer in the Data Engineering team, you will own the tooling, frameworks, data pipelines, integrations, databases, schemas and the data integrity of this cluster. You are critical to both Finix, and our customers, in supplying the data that underpins key operations decisions, uncovers hidden issues, and powers insight through reports, analytics, and dashboards owned and managed by the Data Engineering team. Our operations teams will depend on you to find, source, prepare and supply the right data allowing them to run Finix. Our product team will depend on you to serve the right data quickly and reliably to our customers so they can make timely business decisions. Data Analysts will rely on you to source and channel data where it needs to be and how it needs to be organized to power daily operations and decisions.

You will

• Enable our operations team to make data-driven decisions based on timely, consistent, complete, and correct data, reports, and analytics
• Work closely with engineering team members to build reporting and analytics infrastructure, solving our and our customer’s analytics needs
• Delight our customers by providing leading reporting and analytics capabilities supporting their operations and accounting teams
• Be the subject matter expert in all things data pipelines, data lakes and warehouse, tooling & frameworks, integration and sourcing of data
• Design, build and maintain all code, pipelines, schemas, databases and frameworks that power Finix’s data analytics and reporting capabilities

You are

• Detail-oriented, with a healthy dose of mistrust, driving you to investigate even the slightest data discrepancy
• Thrive in a fast-paced environment around common goals and priorities but able to self-direct and problem solve with others to make progress
• Fast learner of new languages, tools & frameworks. You are willing to go wherever necessary to accomplish your goals even if you haven’t been there before. 
• Curious about new approaches and pushing the boundaries of what exists.

You have

• 6+ years of experience in a Data Engineering, ETL, Data Science or related role
• Expert knowledge of SQL, data modeling, Python and frameworks such as Spark, Storm, Airflow, Glue etc. Java would also be great
• B.S in computer science, mathematics, statistics, physics, or a related data field
• Experience with BI tools such as Looker, Sisense, Superset, Tableau

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Finix is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected class.

 

Role: Data Engineer IV

Level: IC4

Location: San Francisco, CA

 

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job related skills, experience, and relevant education or training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.