Senior Data Platform Engineer — Remote Identity & Fraud Tech

SentiLink Corp; Oregon; Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Flexible PTO

In-person events

Home office stipend

Job summary

SentiLink is seeking a Senior Software Engineer for the Data Platform team to own data infrastructure powering our fraud-detection products. You will collaborate with product, engineering, and data science to build scalable data pipelines and observability, in a remote US-based role.

You will leverage Python, Golang, AWS, Spark, and containerized services on Kubernetes to deliver reliable data services across the platform, while mentoring juniors and driving best practices.

Qualifications

• 5+ years of software/data engineering experience.
• Proficient in Python or Golang with related frameworks.
• Experience building and maintaining ETL/ELT pipelines at scale.
• Hands-on with AWS, Azure or GCP cloud platforms.
• Knowledge of RDBMS, NoSQL, and data stores; writing efficient queries.
• Experience with containerized data services on Kubernetes.
• Familiarity with IaC and DevOps practices.

Responsibilities

• Build, expand and optimize data infrastructure for identities and relationships.
• Develop and operate secure, scalable ETL/ELT pipelines.
• Design a data observability framework for quality and freshness.
• Optimize storage and provide fast data access to stores.
• Collaborate with product squads to support data platform needs.
• Participate in production-issues call rotation.
• Mentor junior engineers and contribute to engineering best practices.
• Contribute to hackathons and proof-of-concepts.
• Develop SME knowledge across identity fraud domains.

Skills

Python

Golang

ETL/ELT pipelines

Data platforms

AWS

Kubernetes

Spark

PostgreSQL

OpenSearch

Redshift

Docker

EMR

Lambda

Tools

OpenSearch

PostgreSQL

Kubernetes

Spark

EMR

Redshift

Docker

Lambda

Job description

SentiLink is seeking a Senior Software Engineer for the Data Platform team to own data infrastructure powering our fraud-detection products. You will collaborate with product, engineering, and data science to build scalable data pipelines and observability, in a remote US-based role.

You will leverage Python, Golang, AWS, Spark, and containerized services on Kubernetes to deliver reliable data services across the platform, while mentoring juniors and driving best practices.