Senior Data Platform Engineer

SentiLink; San Francisco (CA); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with employer match

Flexible paid time off

Regular company-wide events

Job summary

SentiLink is hiring a Senior Data Platform Engineer to own the data infrastructure supporting our fraud-detection products. You will collaborate with product, engineering, and data science teams to build, enhance, and modify the data platform that powers real-time APIs.

You will work on scalable, secure pipelines, data storage optimizations, and observability, while mentoring peers and contributing to engineering best practices. This role is remote within the United States.

Qualifications

• 5+ years of experience in software engineering or data engineering.
• Proficient in Python or Golang and related frameworks.
• Experience building and maintaining ETL/ELT pipelines at scale.
• Hands-on experience with AWS or other cloud platforms.
• Deep understanding of databases including SQL and NoSQL.
• Experience with containerized services on Kubernetes.
• Working knowledge of Infrastructure-as-Code and DevOps practices.

Responsibilities

• Build, expand, and optimize data infrastructure to create accurate identity datasets.
• Develop secure, scalable data ingestion and ETL/ELT pipelines.
• Design and maintain a data observability framework for data quality and freshness.
• Collaborate with product and engineering teams to support data platform needs.
• Participate in production issue rotation and incident response.
• Mentor junior engineers and contribute to engineering best practices.
• Drive innovation through hackathons and proof-of-concepts.

Skills

Python

Golang

ETL/ELT

Spark

Distributed data

Kubernetes

Cloud (AWS)

Data pipelines

DevOps

PostgreSQL

Tools

PostgreSQL (RDS)

OpenSearch

Redshift

EMR

Docker

Lambda

Job description

Python, Golang, PostgreSQL (RDS), OpenSearch, Redshift, EMR, Spark, Docker, Lambda, AWS technologies

SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.

We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.

We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity.

SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.

Role

As a Senior Data Platform Engineer team at SentiLink, you will own the data infrastructure components that support the SentiLink 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. You have outstanding programming skills and are proficient in our technology stack and pick up new technologies quickly as we evolve.

This is a remote, US-based role.

Technologies

Python, Golang, PostgreSQL (RDS), OpenSearch, Redshift, EMR, Spark, Docker, Lambda, AWS technologies

Responsibilities

• 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 requirements
• Design and maintain a data observability framework to ensure our data meets strict quality and freshness standardsOptimize 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

Requirements

• 5+ years of experience in software engineering, data engineering or related field
• Proficient in in python or golang and related technologies and frameworks
• Expertise in building and maintaining ETL/ELT pipelines at scale leveraging distributed data processing technologies like spark, hadoop, kafka or similar technologies
• Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP
• Deep understanding of different database technologies including but not limited to RDBMS (e.g. postgres), NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient queries and optimization techniques
• Experience building enterprise grade, scalable, containerized data services and frameworks on Kubernetes or similar platforms
• Working knowledge of Infrastructure-as-Code and devops practices
• Excellent analytical and problem solving skills, interpersonal skills and a sense of humor (enjoy the journey)
• Self organized and ability to work independently and with ambiguity
• Experience working in a scrum / Agile development environment
• Bonus points if you have:
  • Experience working with Spark/EMR
  • Built streaming applications
  • Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3 etc.
  • Prior experience working in a fintech startup
• Candidates must be legally authorized to work in the United States and must live in the United States

Compensation

• $170,000/year - $230,000/year + equity + benefits

Note: This salary range may be inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, and qualifications.

Perks

• Employer paid group health insurance for you and your dependents
• 401(k) plan with employer match (or equivalent for non US-based roles)
• Flexible paid time off
• Regular company-wide in-person events
• Home office stipend, and more!

Corporate Values

• Follow Through
• Deep Understanding
• Whatever It Takes
• Do Something Smart