Senior Data Platform Engineer

SentiLink Corp

United States

On-site

USD 170,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Employer paid group health insurance

401(k) plan with employer match

Flexible paid time off

Regular company-wide in-person events

Home office stipend

Job summary

SentiLink Corp is seeking a Senior Data Platform Engineer to own data infrastructure powering our fraud-detection products. You will collaborate with product, engineering, and data science teams to build and enhance data platforms, and you will adapt quickly as the tech stack evolves.

The role is remote within the United States, with a focus on scalable ETL/ELT pipelines, cloud-native services, and strong data quality practices. Relevant experience and a proactive mindset are essential.

Qualifications

5+ years of experience in software engineering or data engineering.
Proficient in Python or Go and related frameworks.
Experience building ETL/ELT pipelines at scale with Spark, Hadoop, Kafka or similar.
Hands-on with AWS, Azure or GCP.
Deep understanding of databases including PostgreSQL, OpenSearch, NoSQL and columnar stores.
Experience with containerized data services on Kubernetes or similar.
Experience in Agile/scrum environments.
Candidates must be legally authorized to work in the United States and reside in the United States.

Responsibilities

Build, expand, and optimize data infrastructure to create an accurate identities dataset.
Develop and operate secure, scalable ETL/ELT pipelines meeting product requirements.
Design and maintain a data observability framework for quality and freshness.
Optimize storage and enable fast data access to data stores.
Collaborate with product squads to support data platform needs.
Participate in production incident rotations with the engineering team.
Mentor junior engineers and contribute to engineering best practices.
Drive innovation through hackathons and proofs of concept.
Develop subject matter expertise in identity fraud domains.

Skills

Python

Golang

ETL Pipelines

AWS

GCP

Kubernetes

PostgreSQL

OpenSearch

Spark

Hadoop

Kafka

Tools

Spark

Kubernetes

OpenSearch

PostgreSQL

Redshift

EMR

Docker

Job description

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 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

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: