Senior Data Platform Engineer — Remote, Flexible PTO, Equity

SentiLink; Austin (TX); 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 in-person 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, enhance and scale a modern data platform that handles identities at scale.

You have strong programming skills in Python or Golang and experience with distributed data processing, cloud platforms, and containerized services.

Qualifications

• Experience designing and maintaining large-scale ETL/ELT pipelines.
• Strong background with distributed data processing technologies.
• Proven ability to work with cloud platforms and data stores.

Responsibilities

• Build, expand, and optimize data infrastructure for accurate identity datasets.
• Develop secure, scalable data ingestion and ETL/ELT pipelines.
• Design and maintain a data observability framework for data quality.
• Collaborate with squads to support data platform needs for products.
• Participate in production on-call rotations and engineering best practices.
• Mentor junior engineers and contribute to engineering practices.

Skills

ETL/ELT pipelines

Distributed data processing

Data governance

Tools

Python

Golang

PostgreSQL

OpenSearch

Redshift

EMR

Spark

Docker

Lambda

AWS

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, enhance and scale a modern data platform that handles identities at scale.

You have strong programming skills in Python or Golang and experience with distributed data processing, cloud platforms, and containerized services.