Senior Data Platform Engineer — Remote, AWS & Big Data

SentiLink; San Francisco (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

Job summary

SentiLink is hiring a Senior Data Platform Engineer to own the data infrastructure supporting our fraud-detection products. You will collaborate with product, engineering, and data science teams to build, enhance, and modify the data platform that powers real-time APIs.

You will work on scalable, secure pipelines, data storage optimizations, and observability, while mentoring peers and contributing to engineering best practices. This role is remote within the United States.

Qualifications

• 5+ years of experience in software engineering or data engineering.
• Proficient in Python or Golang and related frameworks.
• Experience building and maintaining ETL/ELT pipelines at scale.
• Hands-on experience with AWS or other cloud platforms.
• Deep understanding of databases including SQL and NoSQL.
• Experience with containerized services on Kubernetes.
• Working knowledge of Infrastructure-as-Code and DevOps practices.

Responsibilities

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

Skills

Python

Golang

ETL/ELT

Spark

Distributed data

Kubernetes

Cloud (AWS)

Data pipelines

DevOps

PostgreSQL

Tools

PostgreSQL (RDS)

OpenSearch

Redshift

EMR

Docker

Lambda

Job description

SentiLink is hiring a Senior Data Platform Engineer to own the data infrastructure supporting our fraud-detection products. You will collaborate with product, engineering, and data science teams to build, enhance, and modify the data platform that powers real-time APIs.

You will work on scalable, secure pipelines, data storage optimizations, and observability, while mentoring peers and contributing to engineering best practices. This role is remote within the United States.