Data Engineer — ETL Pipelines, AWS Glue & Top Secret

SMX; Olympia (WA); On-site; USD 103,000 - 172,000; Full time

Benefits offered by this job

Health insurance

Paid leave

Retirement

Job summary

SMX is hiring a Data Engineer to architect, build, test, and maintain data infrastructure for mission partners. You will design ELT/ETL pipelines, leverage AWS Glue and Step Functions, and ensure high-quality data for analytics teams.

The role requires a TS clearance, 3 years in data engineering/backend roles, strong SQL, and data modeling skills. Collaboration with analytics and business teams is essential to deliver production-ready datasets.

Qualifications

• Bachelor's degree in Computer Science, IT, Data Engineering, or a related field.
• 3 years of professional experience in a data engineering or backend software engineering role.
• Active Top Secret security clearance.
• Strong proficiency in SQL and data query creation.
• Hands-on experience with AWS services, specifically AWS Glue, Glue Catalog, and Step Functions.
• Experience with data modeling, data migration, and ETL functions.
• Excellent communication skills, both written and verbal.

Responsibilities

• Design, construct, test, and maintain highly scalable data management systems and robust ELT/ETL pipelines.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources using cloud technologies, with a strong focus on AWS Glue, Glue Catalog, and Step Functions.
• Support data migration efforts and ETL functions.
• Optimize database schemas and build systems to collect, validate, and prepare data.
• Combine raw information from different sources to meet business and mission needs.
• Work with analytics and business teams to understand data requirements and deliver production-ready datasets.

Skills

SQL

AWS Glue

Data modeling

ETL

Data migration

Data integration

Communication

Education

Bachelor's degree in Computer Science/IT/Data Engineering

Tools

AWS Step Functions

Job description

SMX is hiring a Data Engineer to architect, build, test, and maintain data infrastructure for mission partners. You will design ELT/ETL pipelines, leverage AWS Glue and Step Functions, and ensure high-quality data for analytics teams.

The role requires a TS clearance, 3 years in data engineering/backend roles, strong SQL, and data modeling skills. Collaboration with analytics and business teams is essential to deliver production-ready datasets.