Pay: USD 145,000–170,000/year — pay source
Salary 145,000 – 170,000 USD per year 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.
Read the full posting
Work setup: Unconfirmed
Employment: Full-time — employment source
Employment type Full-time
Read the full posting

What you’ll work on

Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs.
Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources.
Build and maintain cloud-based data platforms, data warehouses, and related infrastructure.

From the employer’s posting

Key Responsibilities Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs. Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources.

Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs. Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources. Build and maintain cloud-based data platforms, data warehouses, and related infrastructure.

Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources. Build and maintain cloud-based data platforms, data warehouses, and related infrastructure. Collaborate with data scientists, engineers, and stakeholders to develop data solutions supporting machine learning and advanced analytics initiatives.

What you’ll bring

All qualifications

Core experience

Bachelor’s degree in Computer Science, Systems Engineering, Data Science, or a related field.
6+ years of experience in data engineering, data architecture, or software engineering with a focus on backend data systems.
Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git.
Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive.
Experience developing, scaling, and automating large-scale data environments.

Preferred experience

Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP.
Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi.
Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments.

Qualification wording

Bachelor’s degree in Computer Science, Systems Engineering, Data Science, or a related field.

6+ years of experience in data engineering, data architecture, or software engineering with a focus on backend data systems.

Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git.

Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive.

Experience developing, scaling, and automating large-scale data environments.

Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP.

Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi.

Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments.

Tools in this posting

Python
SQL
AWS
Azure
BigQuery
Databricks
Kafka
Redshift
Spark
Airflow
NumPy
pandas
PySpark
PyTorch
TensorFlow
Google Cloud (GCP)
Hive
scikit-learn

Source

- 6+ years of experience in data engineering, data architecture, or software engineering with a focus on backend data systems. - Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git. - Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive.

- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP. - Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi.

- Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git. - Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive. - Experience developing, scaling, and automating large-scale data environments.

- Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP. - Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi. - Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments.

Preferred Qualifications - Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP.

Benefits in the posting

Full benefits wording

Health insurance
Dental insurance
Vision insurance
Life Insurance
401(k) Retirement Plan with matching
Paid Time Off
Paid Federal Holidays
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.

From the employer’s posting.

Job description

View original posting ↗

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 Architect (Mid-Level) to support operations and sustainment efforts for the aviation programs. This role will focus on designing, building, and maintaining scalable data architectures that support aircraft maintenance, logistics, performance analytics, and mission readiness initiatives.

The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems.

Key Responsibilities

Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs.
Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources.
Build and maintain cloud-based data platforms, data warehouses, and related infrastructure.
Collaborate with data scientists, engineers, and stakeholders to develop data solutions supporting machine learning and advanced analytics initiatives.
Implement and maintain data governance, security, data quality, and integrity standards across data environments.
Monitor and optimize database and data platform performance, scalability, reliability, and availability.
Support data modernization initiatives, including migration and transformation of legacy data environments to modern cloud-based architectures.

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, Systems Engineering, Data Science, or a related field.
6+ years of experience in data engineering, data architecture, or software engineering with a focus on backend data systems.
Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git.
Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive.
Experience developing, scaling, and automating large-scale data environments.

Preferred Qualifications

Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP.
Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi.
Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments.
Knowledge of data governance, security, compliance, CI/CD pipelines, and software development best practices.
Experience supporting defense, aviation, aerospace, or other mission-critical programs.

Benefits

Health insurance
Dental insurance
Vision insurance
Life Insurance
401(k) Retirement Plan with matching
Paid Time Off
Paid Federal Holidays

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.

Salary

145,000 – 170,000 USD per year

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.

Employment type

Full-time

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.

Complete your application on jobs.lever.co. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

Salary 145,000 – 170,000 USD per year 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.

Location & working pattern

Vienna, VA

Working pattern and location restrictions need checking in the full posting.

Work authorization

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, Systems Engineering, Data Science, or a related field.

Open source at jobs.lever.co ↗Read the full description ↓

Status in our records: Active
First seen by us: Jun 12, 2026
Recorded sightings: 38
Last seen by us: Oct 8, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Upload resume Add LinkedIn