Data Engineer

SteerBridge, Inc.

Vienna (VA)

In loco

USD 125.000 - 140.000

Tempo pieno

25 ore fa
Candidati tra i primi
Generatore di candidature

Una candidatura fatta su misura per questo lavoro — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Health insurance
Paid time off
Retirement savings
Professional development

Descrizione del lavoro

SteerBridge, Inc. is seeking a Mid-Level Data Engineer to join our Aviation team at our Vienna, VA headquarters.

You will design and optimize scalable ETL/ELT pipelines, build data lake architectures, and collaborate with data scientists and engineers to deliver reliable data products for analytics and model development. The role requires 3+ years of experience, proficiency in Python/SQL, and hands-on work with Pandas, PySpark, and AWS Glue.

Competenze

  • Bachelor’s degree in Computer Science or a related field; 3+ years of relevant professional experience.
  • Strong proficiency in Python and SQL with hands-on experience in Pandas, PySpark, and AWS Glue.
  • Solid understanding of ETL/ELT frameworks, data lake design, and cloud-based data architectures.
  • Experience with real-time and batch data processing tools and methodologies.
  • Ability to safeguard sensitive information and comply with security/privacy requirements.
  • Located in Vienna, VA area and able to work on-site 3–5 days per week.

Mansioni

  • Design, build, optimize, and maintain scalable batch and real-time ETL/ELT pipelines.
  • Develop and manage data lake and cloud-based architectures (AWS S3, Azure Blob Storage) and API data integration.
  • Implement data transformation, workflow automation, and orchestration (dbt, Informatica, Azure Data Factory, Databricks, AWS Glue, EventBridge, S3 events).
  • Conduct data profiling, validation, and quality checks with data lineage, governance, and security standards.
  • Collaborate with data scientists and engineers to deliver reliable data products for analytics and model development.
  • Maintain technical documentation and mentor junior engineers through reviews and best practices.

Conoscenze

Python
SQL
Pandas
PySpark
ETL/ELT
Data governance
Security/compliance

Formazione

Bachelor’s degree in Computer Science or related field

Strumenti

AWS
Azure
Databricks
Informatica
dbt
Azure Data Factory
AWS Glue

Descrizione del lavoro

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success.

At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.

Position Overview

SteerBridge is seeking a Data Engineer (Mid-Level, 3+ years) to join our growing Aviation team at our headquarters in Tysons Corner (Vienna, VA). In this role, you will support a major federal transformation effort by modernizing and optimizing complex data systems at scale, working alongside architects, analysts, and data scientists to design efficient data flows, enhance data quality, and ensure secure, reliable pipelines for both real‑time and batch processing environments. Our projects span AI/ML, cloud architecture, and large‑scale data engineering to help modernize critical federal systems. This is a full‑time, on‑site position based in Vienna, VA (3‑5 days/week on‑site; hybrid arrangements available at supervisors' discretion).

Key Responsibilities
  • Design, build, optimize, and maintain scalable batch and real‑time ETL/ELT pipelines for structured and unstructured data across complex, distributed systems.
  • Develop and manage modern data lake and cloud‑based data architectures using platforms such as AWS S3 and Azure Blob Storage, including support for API‑based data integration.
  • Implement data transformation, workflow automation, and orchestration using technologies such as dbt, Informatica, Azure Data Factory, Databricks, AWS Glue, EventBridge, and S3 Event Notifications.
  • Conduct data profiling, linkage, validation, and quality checks while maintaining data lineage, governance, security, compliance, and performance standards across data environments.
  • Collaborate with data scientists, software engineers, and stakeholders to deliver reliable data products supporting analytics, reporting, and model development.
  • Maintain technical documentation for pipelines, data structures, infrastructure, standards, and data products while mentoring junior engineers through technical guidance, code reviews, and engineering best practices.
Required Qualifications
  • Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain the security clearance required for the role.
  • Bachelor’s degree in Computer Science or a related field, with a minimum of 3 years of relevant professional experience.
  • Strong proficiency in Python and SQL, with hands‑on experience using Pandas, PySpark, and AWS Glue.
  • Strong understanding of ETL/ELT frameworks, data lake design, and cloud‑based data architectures.
  • Familiarity with both real‑time and batch data processing tools and methodologies.
  • Experience implementing data governance, data quality, security, and compliance standards within data environments.
  • Ability to appropriately safeguard sensitive information and comply with applicable organizational security and privacy requirements.
  • Candidates must be located in the Vienna, VA area and able to work on‑site at the Vienna, VA office 3–5 days per week. Hybrid arrangements may be available at the supervisor’s discretion.
Preferred Qualifications
  • Experience with dbt, Informatica, Azure Data Factory, and Databricks for data transformation and workflow automation.
  • Experience with AWS orchestration services such as EventBridge and S3 Event Notifications.
  • Experience mentoring junior engineers and leading the design of scalable ETL/ELT processes across complex, distributed systems.
  • Familiarity with multi‑cloud data processing environments, including AWS S3 and Azure Blob Storage, as well as API‑based data integration.

$125,000 - $140,000 a year

The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate’s relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer.

SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility.

SteerBridge is proud to be an Equal Opportunity Employer.

We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity—regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.

We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.

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