Data Engineer – Federal Data Lakes & Real-Time ETL (Hybrid)

SteerBridge, Inc.; Vienna (VA); Presencial; USD 125.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Life insurance

Paid time off

Paid holidays

Disability coverage

Retirement savings

Professional development

Descripción de la vacante

SteerBridge, Inc. in Vienna, VA (on-site) seeks a Data Engineer (Mid-Level, 3+ years) to join the Aviation team and modernize federal data systems.

You will design scalable ETL/ELT pipelines, build data lake architectures, and ensure secure, reliable data for real-time and batch processing. Work with architects, analysts, and data scientists to deliver data products, mentor junior engineers, and contribute to governance and security standards.

Formación

• Bachelor’s degree in Computer Science or related field with 3+ years of experience.
• Strong Python and SQL skills with Pandas and PySpark.
• Experience with data governance, cloud data architectures, and security requirements.

Responsabilidades

• Design, build, and maintain scalable batch and real-time ETL/ELT pipelines.
• Develop data lake and cloud architectures using AWS S3 and Azure Blob Storage with API data integration.
• Implement data transformation, orchestration with dbt, Informatica, ADF, Databricks, and AWS services.
• Conduct data profiling, validation, quality checks, and maintain data lineage and security standards.
• Collaborate with data scientists and engineers to deliver reliable data products and analytics support.
• Maintain documentation and mentor junior engineers on best practices.

Conocimientos

Python

SQL

Pandas

PySpark

AWS Glue

ETL/ELT

Data lake design

Educación

Bachelor's degree in Computer Science

Herramientas

dbt

Informatica

Azure Data Factory

Databricks

AWS Glue

Descripción del empleo

SteerBridge, Inc. in Vienna, VA (on-site) seeks a Data Engineer (Mid-Level, 3+ years) to join the Aviation team and modernize federal data systems.

You will design scalable ETL/ELT pipelines, build data lake architectures, and ensure secure, reliable data for real-time and batch processing. Work with architects, analysts, and data scientists to deliver data products, mentor junior engineers, and contribute to governance and security standards.