Senior Data Engineer
San Francisco
Finix
Finix is a payments technology provider enabling businesses to accept and send payments online or in person.
About UsMove money. Make money. Finix processes billions of dollars every year for leading SaaS, marketplace, and e-commerce platforms. With one developer-friendly API, Finix helps companies accept payments, manage payouts, and onboard merchants—everything you need to enable payment processing, and grow revenue.Finix has raised over $100M from American Express Ventures, Bain Capital Ventures, Homebrew, Inspired Capital, Lightspeed Venture Partners, Sequoia Capital, Visa, and others.
About the RoleFinix’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.
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 IVLevel: IC4Location: San Francisco, CABase Salary Range: $170,000/yr to $210,000/yr + equity + benefits
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.
About the RoleFinix’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
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 IVLevel: IC4Location: San Francisco, CABase Salary Range: $170,000/yr to $210,000/yr + equity + benefits
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.
Job stats:
0
0
0
Category:
Engineering Jobs
Tags: Airflow APIs Computer Science Data Analytics Data pipelines E-commerce Engineering ETL Java KPIs Looker Mathematics Physics Pipelines Python Spark SQL Statistics Superset Tableau
Perks/benefits: Equity / stock options
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Staff Machine Learning Engineer jobsStaff Data Scientist jobsBI Developer jobsData Scientist II jobsPrincipal Data Engineer jobsData Manager jobsJunior Data Analyst jobsResearch Scientist jobsData Science Manager jobsBusiness Data Analyst jobsData Engineer III jobsSenior AI Engineer jobsLead Data Analyst jobsData Specialist jobsData Science Intern jobsSr. Data Scientist jobsPrincipal Software Engineer jobsData Analyst Intern jobsSoftware Engineer II jobsData Analyst II jobsBI Analyst jobsAzure Data Engineer jobsSoftware Engineer, Machine Learning jobsJunior Data Engineer jobsSenior Data Scientist, Performance Marketing jobs
Snowflake jobsEconomics jobsLinux jobsOpen Source jobsBanking jobsHadoop jobsComputer Vision jobsRDBMS jobsJavaScript jobsPhysics jobsMLOps jobsKafka jobsData Warehousing jobsKPIs jobsAirflow jobsGoogle Cloud jobsNoSQL jobsR&D jobsStreaming jobsScala jobsData warehouse jobsOracle jobsClassification jobsGitHub jobsPostgreSQL jobs
Scikit-learn jobsSAS jobsCX jobsTerraform jobsPySpark jobsScrum jobsPandas jobsData Mining jobsDistributed Systems jobsIndustrial jobsBigQuery jobsRobotics jobsLooker jobsJira jobsJenkins jobsUnstructured data jobsE-commerce jobsRedshift jobsdbt jobsData strategy jobsPharma jobsReact jobsMicroservices jobsMySQL jobsNumPy jobs