> Markdown version of [/jobs/ext/3974509-senior-data-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3974509-senior-data-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Platform Engineer - **Company:** Sentilink Corp. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $170,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Amazon S3, Microsoft Azure, Computer Programming, Databases, Data as a Services, Information Engineering, Data Files, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Stores, Relational Databases, DevOps, Distributed Computing Environment, Fraud Prevention and Detection, Apache Hadoop, Python (Programming Language), PostgreSQL, NoSQL, Query Optimization, Software Engineering, Data Streaming, Data Storage Technologies, Data Ingestion, Apache Spark, Electronic Medical Records, Kubernetes, Optimization Algorithms, Apache Kafka, Functional Programming, Amazon Simple Queue Service (SQS), Data Pipelines, OpenSearch, Docker, Service Stack, Golang - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-data-platform-engineer-new-york-ny--2fda034b-7841-43ed-a658-df18b3c74058 ## About the Role Risk, Application Programming Interface (API), Financial Services, Bank Management, Computer Programming, Data Science, Product Engineering, Data Sets, Database Extract Transform and Load (ETL), Data Storage, * 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 ## Description 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