Remote Senior Python & Data Pipeline Engineer

Eliassen Group; Salem (OR); Remote; USD 102,000 - 107,000; Full time

Job summary

Eliassen Group is seeking a Senior Python Developer to build and operate components of a SaaS risk and compliance AI platform. You will work primarily in Python on Linux, leverage AWS services, and contribute to modernization and production support for a screening platform.

Remote, open-ended hours with a W2 benefits package. Responsibilities include designing Python services, ingesting large datasets, and deploying on AWS.

Qualifications

• 5+ years of industry experience.
• Strong experience with Python and Linux.
• Experience ingesting, storing, and querying messy data at scale.
• Experience with PostgreSQL or other SQL relational databases.
• Familiarity with ElasticSearch or other NoSQL search engines.
• Hands-on AWS experience with Lambda, ECS, EC2, RDS, SQS, S3, Route 53, and networking concepts.

Responsibilities

• Design, develop, and maintain Python services and data pipelines on Linux.
• Ingest, normalize, and query large-scale datasets.
• Implement and optimize data models in PostgreSQL or similar relational databases.
• Build and tune search capabilities using ElasticSearch or comparable engines.
• Deploy and operate workloads on AWS including Lambda, ECS, EC2, RDS, SQS, S3, Route 53, and core networking.
• Own components end to end including source code, testing and validation, interdependencies, and deployment strategies.
• Contribute to modernization while supporting production stability for the screening platform.

Skills

Python

Linux

AWS

Data ingestion

Data modeling

NoSQL

Tools

PostgreSQL

ElasticSearch

Job description

Eliassen Group is seeking a Senior Python Developer to build and operate components of a SaaS risk and compliance AI platform. You will work primarily in Python on Linux, leverage AWS services, and contribute to modernization and production support for a screening platform.

Remote, open-ended hours with a W2 benefits package. Responsibilities include designing Python services, ingesting large datasets, and deploying on AWS.