Sr. Data Engineer

Spectraforce
Bellevue, United States of America
29 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Bellevue, United States of America

Tech stack

JavaScript
Agile Methodologies
Amazon Web Services (AWS)
Amazon Web Services (AWS)
JIRA
Audit Trail
Big Data
Computer Programming
Continuous Integration
Data Governance
ETL
Data Systems
Software Debugging
Disaster Recovery
Identity and Access Management
Python
Operational Databases
Performance Tuning
Query Optimization
Systems Architecture
TypeScript
Smartsheet
Amazon Web Services (AWS)
Sql Optimization
AWS Lambda
Amazon Web Services (AWS)
Data Lake
PySpark
Infrastructure Automation Frameworks
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Cloudwatch
Data Pipelines
Serverless Computing
Web Api

Job description

  • A senior data engineer supporting Leo OAT's needs expertise across AWS data services and infrastructure automation

Requirements

  • Percentage break This person should understand how different data systems work. How do we take the data from the different workstream, create and execute ETL pipelines to deploy the data through CDK automation.
  • The systems architecture has already been created, this person would need to be able to read it, understand what needs to be done, deep dive, and deliver results.

Must Have:

  • first three competencies (Core AWS skills, infrastructure as code and Programming) are critical.
  • Core AWS Skills: Advanced Redshift cluster management, query optimization, and security. AWS Glue ETL development with PySpark/Python transformations. Lambda serverless processing and S3 data lake architecture with lifecycle policies.
  • Infrastructure as Code: Expert AWS CDK with TypeScript (next generation of JavaScript) for multi-stage deployments (alpha * beta * gamma * prod). Complex stack orchestration, custom resources, and environment-specific configurations.
  • Programming: Python for Glue scripts and Lambda functions, advanced SQL for Redshift optimization, TypeScript for infrastructure code. Data quality frameworks and incremental processing patterns.
  • Security & Governance: Lake Formation permissions, IAM roles, KMS encryption, and VPC networking. Tag-based access control and audit logging for government compliance.
  • Operations: Event Bridge scheduling for 100+ daily data pipelines, CloudWatch monitoring, CI/CD automation, and disaster recovery planning. Performance tuning for large-scale data processing.
  • Domain Knowledge: Manufacturing systems (MES) integration, third-party APIs (Smartsheet, JIRA), and financial reporting. Cross-region replication and scalability planning.
  • Soft Skills: Technical documentation, stakeholder communication, and Agile methodologies for production-grade satellite manufacturing data operations.

How many years of experience:

  • 5+ years and degree, * Debugging and coding
  • Cause Analysis
  • Production Data Base/Production Environment experience at an enterprise scale

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