Remote Senior Data Platform Engineer for Identity Fraud

Dataroles; Northern (KY); Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Employer paid health insurance for you

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 work with product, engineering, and data science teams to build, enhance and operate the data platform that underpins our identity verification solutions.

This is a remote, US-based role requiring strong programming skills in Python or Go, plus experience with cloud platforms, ETL pipelines, data quality, and Kubernetes-based deployments.

Qualifications

• 5+ years of experience in software engineering, data engineering or related field.
• Proficient in Python or Golang with related technologies and frameworks.
• Experience building and maintaining ETL/ELT pipelines at scale using distributed processing technologies.
• Hands-on experience with public cloud platforms such as AWS, Azure or GCP.
• Deep understanding of database technologies including RDBMS, NoSQL, and columnar stores; writing efficient queries.

Responsibilities

• Build, expand, and optimize data infrastructure for accurate identity datasets and relationships.
• Develop and operate secure, scalable ETL/ELT pipelines that meet product requirements.
• Design and maintain a data observability framework for data quality and freshness.
• Collaborate with product squads to support data platform needs and product delivery.
• Mentor junior engineers and contribute to engineering best practices.

Skills

Python

Golang

ETL/ELT pipelines

AWS

Kubernetes

OpenSearch

PostgreSQL

Spark

Tools

PostgreSQL

OpenSearch

Redshift

Spark

Docker

Lambda

AWS services

Job description

SentiLink is seeking a Senior Data Platform Engineer to own the data infrastructure powering our fraud-detection products. You will work with product, engineering, and data science teams to build, enhance and operate the data platform that underpins our identity verification solutions.

This is a remote, US-based role requiring strong programming skills in Python or Go, plus experience with cloud platforms, ETL pipelines, data quality, and Kubernetes-based deployments.