Senior Data Engineer (Pipeline)
DemandbaseSalary not specified
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, PaymentsIndustries
Requirements
- 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 (Java also beneficial)
- B.S in computer science, mathematics, statistics, physics, or a related data field
- Experience with BI tools such as Looker, Sisense, Superset, Tableau
- Detail-oriented, with a healthy dose of mistrust to investigate data discrepancies
- Ability to thrive in a fast-paced environment, self-direct, and problem solve collaboratively
- Fast learner of new languages, tools & frameworks, willing to adapt as needed
- Curious about new approaches and pushing boundaries
Responsibilities
- Own the tooling, frameworks, data pipelines, integrations, databases, schemas and data integrity of the reporting cluster
- Enable operations team to make data-driven decisions with timely, consistent, complete, and correct data, reports, and analytics
- Work closely with engineering team to build reporting and analytics infrastructure for Finix and customer needs
- Provide leading reporting and analytics capabilities to delight customers' operations and accounting teams
- Serve as subject matter expert in data pipelines, data lakes and warehouse, tooling & frameworks, integration and sourcing of data
- Design, build and maintain all code, pipelines, schemas, databases and frameworks powering Finix’s data analytics and reporting capabilities
- Source, prepare and supply data for operations teams, product team, and data analysts to support decisions, operations, and insights
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What experience level is required for this Senior Data Engineer role?
The role requires 6+ years of experience in Data Engineering, ETL, Data Science or related fields.
What are the key responsibilities of the Data Engineer at Finix?
You will design, build and maintain all code, pipelines, schemas, databases and frameworks that power Finix’s data analytics and reporting capabilities, enable operations teams with data-driven decisions, and work closely with engineering teams on reporting infrastructure.
What personal qualities make a strong candidate for this position?
Ideal candidates are detail-oriented with a healthy dose of mistrust to investigate data discrepancies, thrive in fast-paced environments, can self-direct and problem-solve, are fast learners of new tools, and are curious about pushing boundaries.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What is the salary or compensation for this role?
This information is not specified in the job description.
Finix
Payment processing solutions for software platforms
About Finix
Finix simplifies payment processing for software platforms, allowing them to accept payments, manage payouts, and onboard merchants through a developer-friendly API. This solution integrates easily with existing software, helping clients like SaaS providers and e-commerce platforms manage their payment operations efficiently. Finix stands out by streamlining the payment process, reducing complexity and costs while ensuring secure transactions. The company's goal is to help businesses increase revenue from their payment operations and reinvest in their core activities.
San Francisco, CaliforniaHeadquarters
2015Year Founded
$195MTotal Funding
SERIES_CCompany Stage
Enterprise Software, FintechIndustries
201-500Employees
Benefits
Competitive compensation
Generous PTO
Flexible health plans
Coverage for dependents
Inclusive parental leave
Risks
Competition from Stripe and Square pressures Finix's market share.
Apex Group acquisition may disrupt Finix's business model.
Technical challenges may affect adoption of Advanced Fraud Monitoring.
Differentiation
Finix offers a developer-friendly API for seamless payment integration.
The platform provides real-time transaction tracking and modular architecture.
Finix's Advanced Fraud Monitoring enhances security with AI-powered, no-code capabilities.
Upsides
Embedded finance trend aligns with Finix's API-driven approach.
Rising demand for real-time payments benefits Finix's real-time interface.
Global e-commerce growth increases need for Finix's payment solutions.
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