Senior Software Engineer, Data Platform

SentiLink

Austin (TX)

On-site

USD 170,000 - 240,000

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

A tech company specializing in identity verification is seeking a Senior Software Engineer for the Data Platform team. In this remote US-based role, you will enhance the data infrastructure supporting fraud detection products. Ideal candidates have 5+ years of experience in software engineering, are proficient in Python or Golang, and have a solid understanding of ETL/ELT pipelines. The compensation ranges from $170,000 to $240,000 plus equity and benefits, with opportunities for flexible work arrangements.

Qualifications

5+ years of experience in software engineering or data engineering.
Proficient in Python or Golang.
Hands-on experience with AWS or similar cloud platforms.

Responsibilities

Build and optimize data infrastructure for accurate identity datasets.
Develop scalable ETL/ELT pipelines.
Collaborate with product teams on data platform needs.

Skills

Python

Golang

PostgreSQL

ETL/ELT pipelines

AWS technologies

Tools

Docker

Kubernetes

Spark

Job description

Overview

SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transaction 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 list every year since 2023. 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 Software Engineer on the Data Platform 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 - $240,000/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