Jobs / Sen***
Senior Data Platform Engineer
Sen*** · United States
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United States170,000-230,000 USD/yearlyHybrid
Remuneration
170,000-230,000 USD/yearly
Location
United States
Visa sponsorship
Sponsors visa
Job summary
LOCATION United States EMPLOYMENT TYPE Full time LOCATION TYPE Remote DEPARTMENT Engineering Sen*** provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence.
Benefits
Employer paid group health insurance for you and your dependents401(k) plan with employer match (or equivalent for non US-based roles)Flexible paid time offRegular company-wide in-person eventsHome office stipend, and more!CORPORATE VALUES:Follow ThroughDeep UnderstandingWhatever It TakesDo Something Smart
Qualifications
- You have outstanding programming
- Design and maintain a data observability framework to ensure our data meets strict quality and freshness standards
- Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores
- Collaborate with product teams (squads) supporting their data platform needs for smooth delivery of existing and new products
- Participate in call rotation for production issues, along with the rest of engineering
- Mentor junior engineers and contribute to our evolving engineering best practices
- Drive innovation by actively participating in our hackathons and doing proof of concepts
- Develop functional subject matter expertise within various areas of identity fraud domain
- 5+ years of experience in software engineering, data engineering or related field
- Proficient in in python or golang and related
Responsibilities
- As a Senior Data Platform Engineer team at Sen***, you will own the data infrastructure components that support the Sen*** suite of products.
- You will work with product, engineering, and data science teams across the company to build, enhance and modify the data platform that powers our fraud detection products.
- Build, expand, and optimize data infrastructure in order to create the most accurate dataset of identities and their relationships
- Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product
Skills
Electronic Health Records
Degrees
Associate
Work schedule
RotationShift
Industry
BankingEnergyFintechInsuranceMedia
Company size
EnterpriseSmbStartup