Senior Data Platform Engineer - Remote (US)

SentiLink; Los Angeles (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

Home office stipend

Job summary

SentiLink is seeking a Senior Data Platform Engineer to own the data infrastructure powering our fraud-detection products. You will collaborate with product, engineering, and data science teams to build and evolve a scalable data platform.

You will work remotely in the United States, with potential hybrid collaboration across U.S. offices. The role emphasizes strong programming, cloud, and data-management expertise to deliver fast, reliable datasets.

Qualifications

• 5+ years of experience in software or data engineering.
• Proficient in Python or Go and related technologies.
• Experience building and maintaining ETL/ELT pipelines at scale.
• Hands-on with public cloud platforms such as AWS, Azure or GCP.
• Deep understanding of RDBMS, NoSQL and data storage technologies.
• Experience with Kubernetes and containerized data services.
• Experience in Agile/scrum development environments.
• Legal authorization to work in the United States.

Responsibilities

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

Skills

Python

Golang

Spark

Kubernetes

AWS

Data modeling

SQL & NoSQL

ETL/ELT pipelines

Tools

PostgreSQL

OpenSearch

Redshift

EMR

Docker

Lambda

GCP

Azure

Job description

SentiLink is seeking a Senior Data Platform Engineer to own the data infrastructure powering our fraud-detection products. You will collaborate with product, engineering, and data science teams to build and evolve a scalable data platform.

You will work remotely in the United States, with potential hybrid collaboration across U.S. offices. The role emphasizes strong programming, cloud, and data-management expertise to deliver fast, reliable datasets.