Similar Jobs
.png)
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact confidently with one another.
By building the future of identity verification in the United States and reinventing the currently clunky, ineffective, and expensive process, we believe strongly that the future will be 10x better.
We’ve had tremendous traction and are growing extremely quickly. Already our real-time APIs have helped verify hundreds of millions of identities, beginning with financial services. In 2021, we raised a $70M Series B round, led by Craft Ventures to rapidly scale our best in class products. We’ve earned coverage and awards from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have landed on the Forbes Fintech 50 in 2023 and 2024. Last but not least, we’ve even been a part of history -- we were the first company to go live with the eCBSV and testified before the United States House of Representatives.
Role:
As a Sr. Software Engineer, Data Platform 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.
Technologies: Python, Golang, PostgreSQL (RDS), OpenSearch, Redshift, EMR, Spark, Docker, Lambda, AWS technologies
This is a remote, US-based role.
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., and/or
- 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
Salary Range:
- $165,000/year - $200,000/year
- 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
SentiLink San Francisco, California, USA Office
33 New Montgomery St, San Francisco, CA, United States, 94105
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
