Data Engineer III

Stellent IT LLC
Bellevue, United States of America
2 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Bellevue, United States of America

Tech stack

Java
API
Amazon Web Services (AWS)
Data analysis
Architectural Patterns
Code Review
Data Validation
Information Engineering
ETL
Data Systems
Data Warehousing
Database Queries
Amazon DynamoDB
Python
Software Engineering
TypeScript
Data Logging
State Machines
AWS Lambda
Backend
Cloudformation
Event Driven Architecture
Information Technology
Production Code
Tools for Reporting
Api Gateway
Amazon Web Services (AWS)
Data Pipelines
Serverless Computing

Job description

This role supports a compliance solutions team by combining data engineering and software engineering responsibilities. You will build data pipelines, backend services, and analytics components for a satellite communications service. The focus is on developing regulatory and compliance-driven data solutions, with approximately 60-70% greenfield development and the remainder enhancing existing systems. You will work within established architectural patterns to help meet regulatory obligations across multiple jurisdictions., * Implement logical and physical data models and ETL/ELT pipelines to consolidate compliance data.

  • Build and maintain event-driven integration components, such as data pipelines, Lambda functions, and Step Functions workflows.
  • Implement backend services including APIs, workflow orchestrations, and dashboard backends.
  • Write, test, and deploy well-written, maintainable, and secure production code.
  • Implement data quality checks, validation, and monitoring for compliance-critical datasets.
  • Extend existing services to support new compliance requirements and jurisdictions.
  • Build components that handle sensitive regulatory data with appropriate encryption and access controls.
  • Contribute to self-service analytics through reporting tools and dashboards.
  • Maintain production systems with comprehensive monitoring, alarming, and logging.
  • Participate in code reviews, design discussions, and sprint ceremonies.

Requirements

Education: A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is required.

Experience: 3+ years of data engineering experience, including data modeling, pipeline development, and data warehouse design, along with 3+ years of non-internship professional software development experience building production services.

Technical Skills: Proficiency in Python, Java, or TypeScript; strong SQL skills; and experience with AWS services such as Lambda, API Gateway, Step Functions, and DynamoDB., * Experience building event-driven architectures using Step Functions, EventBridge, or SQS/SNS.

  • Experience with serverless development patterns on AWS.
  • Experience with infrastructure as code (CDK, CloudFormation).
  • Familiarity with regulatory compliance or telecommunications domains.
  • AWS certification.

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