Data Engineer - Mid Level

Evans & Chambers Technology; Reston (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

Evans & Chambers Technology is looking for a highly motivated Data Engineer to join our Reston, VA team. The successful candidate will design, implement, and maintain large-scale ETL pipelines and ingestion architectures to enhance decision-making within the US national defense community.

The ideal applicant has 4-10 years of Data Engineering experience, familiarity with AWS services like Lambda and PostgreSQL, and strong problem-solving skills to innovate on cloud-native platforms.

Qualifications

• 4-10 years of experience in Data Engineering, Backend Engineering, and DevOps.
• Experience designing ETL pipelines and ingestion architecture.
• Familiarity with AWS cloud-native services.

Responsibilities

• Designs, implements, and maintains large-scale ETL pipelines.
• Builds and maintains distributed, event-driven architecture.
• Implements monitoring and logging mechanisms for data pipelines.

Skills

Data Engineering

Backend Engineering

DevOps

AWS Lambda

PostgreSQL

Terraform

CI/CD

Education

Bachelor of Science or Administration in related field

AWS Certified Cloud Practitioner

AWS Certified Developer Associate

CompTIA Security+

Job description

Evans & Chambers Technology is seeking a highly motivated Data Engineer to join our team!

Evans & Chambers partners with the US national defense community to create fully integrated, resilient, and innovative digital solutions that enable them to make smart decisions in real-time. We work with our customers on everything from conquering their data to improving and safeguarding IT infrastructure. Our ultimate goal? To enhance our nation's ability to identify, address, and act - no matter what challenges arise.

Clearance

Active TS/SCI with CI Poly (Required)

Location

Reston, VA (Onsite)

Responsibilities

• 4-10 years of experience in Data Engineering, Backend Engineering, and DevOps.
• Designs, implements, and maintains large-scale ETL pipelines and ingestion architecture for collecting, retrieving, normalizing, validating, and processing intelligence data.
• Builds and maintains distributed, event-driven architecture using cloud-native services such as AWS Lambda, EventBridge, SQS, RDS/PostgreSQL, and serverless computing platforms.
• Develops backend services, APIs, and worker-based system for parsing, transforming, enriching, and publishing structured data.
• Drafts database schemas and indexes, and manages data integrity and performance of PostgreSQL database environment.
• Creates automated validation, deduplication, and quality assurance processes to ensure accuracy, consistency, and reliability of ingested data.
• Implements monitoring, alerting, and logging mechanisms to detect pipeline failure and processing issues in a distributed environment.
• Participates in collaboration with engineers, analytics, and mission stakeholders to determine data processing requirements.
• Investigates, analyzes, and implements new and innovative technologies to enhance the scalability and automation of cloud-native data platforms.
• Implements best practices of software development and cloud infrastructure in accordance with mission and security (RMF) guidelines.
• Supports CI/CD (GitLab CI/CD, or similar) pipelines, automation of infrastructure (Terraform, Terragrunt), and deployment processes for cloud-native application and serverless services.
• Documents and creates technical architecture and operational procedures.

Degrees and Desired Certifications

• Bachelor of Science or Administration in related field
• AWS Certified Cloud Practitioner and/or AWS Certified Developer Associate
• CompTIA Security+

All employment opportunities are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status or any other basis protected by law.