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Full Time Data Transformation Jobs (NOW HIRING)

Data Engineer

Vienna, VA

$125K - $140K/yr

Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies ... This is a full-time, on-site position based in Vienna, VA (3-5 days/week on-site; hybrid ...

Data Engineer 2

Boulder, CO · On-site

$99K/yr

Overview We are seeking a full-time Data Engineer 2 at Garmin's U.S. headquarters in the Greater ... Building data models and transformations inside PowerBI * Experience with real-time streaming ...

Data Scientist III Chantilly, VA (on-site at client facility) Full-Time, Long-Term Contract (1-Year ... data transformation, databases, and/or repositories - Experience assessing and technically ...

Remote - United States Schedule: Full-time Department: Product Implementation Compensation: $80,000 ... Build, optimize, and troubleshoot complex SQL queries and data transformation processes * Configure ...

Sr. AWS Data Engineer

OR · Remote

$50 - $60/hr

Remote in USA Job Type : Full time looking for only W2 Detailed We are currently seeking a Senior ... This position requires a deep understanding of data transformation and the ability to create ...

Sr. AWS Data Engineer

OR · Remote

$50 - $60/hr

Remote in USA Job Type : Full time looking for only W2 Detailed We are currently seeking a Senior ... This position requires a deep understanding of data transformation and the ability to create ...

Hybrid - Bedminster, NJ Job Type: Full-Time About SDG Group SDG Group is a global consulting firm ... transformation journeys. SDG Group operates on a model of Triple Expertise - combining deep ...

Data Engineer

Albany, NY · Hybrid

$100K - $110K/yr

The role involves designing, building, and maintaining test pipelines, data transformation or ... This is a full-time role with at least two required days at the Excelsior home office in Albany, NY.

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

... transformation logic and operational processes. * Maintain confidentiality and security of sensitive, confidential, and business critical data. Work Schedule + Benefits: * Full-time position, Exempt

$86K - $130K/yr

Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 900081 ISD ... Architects data integration and transformation processes across on premise and cloud data sources.

Data Architect

Alpharetta, GA · On-site

$62.25 - $80/hr

Berkeley Heights, NJ / Alpharetta, GA (5days onsite) Hiring Type: Full-Time Job Summary We are seeking a visionary Senior Data Architect to lead our enterprise-wide data transformation. You will be ...

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

... transformation logic and operational processes. * Maintain confidentiality and security of sensitive, confidential, and business critical data. Work Schedule + Benefits: * Full-time position, Exempt

Showing results 41-60

Full Time Data Transformation information

What is a full time data transformation?

A Full Time Data Transformation job involves converting data from one format, structure, or system to another to ensure it is accurate, consistent, and usable for analysis or business processes. Professionals in this role typically work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms. They collaborate with data engineers, analysts, and business stakeholders to design workflows that streamline data integration, migration, or cleansing. This role is crucial in organizations that rely on data-driven decision-making, as it ensures high-quality, accessible data across systems.

What are the key skills and qualifications needed to thrive as a full time data transformation specialist?

To excel as a Full Time Data Transformation Specialist, you need strong analytical skills, proficiency in data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools (such as Informatica, Talend, or Apache NiFi), SQL, and cloud data platforms is typically required, along with certifications in data management or analytics. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating business needs into technical solutions. These competencies ensure accurate, efficient data integration and enable organizations to make data-driven decisions.

What are some common challenges faced in a full time data transformation role, and how can I prepare for them?

In a Full Time Data Transformation role, you may encounter challenges such as handling inconsistent data sources, managing large volumes of data, and ensuring data quality throughout the transformation process. It’s important to develop strong problem-solving skills and familiarity with ETL tools, as well as a solid understanding of data governance and documentation practices. Collaborating effectively with data engineers, analysts, and business stakeholders is also crucial to ensure that transformed data meets organizational needs. Staying updated on best practices and being adaptable to evolving technologies will help you succeed and grow in this field.

What is the difference between Full Time Data Transformation vs Data Analyst?

AspectFull Time Data TransformationData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with ETL toolsBachelor's in Statistics, Business, or related field; proficiency in Excel and SQL
Work EnvironmentData teams, IT departments, project-basedBusiness units, reporting teams, cross-functional
Industry UsageTech, finance, healthcare, retailFinance, marketing, consulting, healthcare
Common Search/ComparisonFull Time Data Transformation vs Data Analyst

Full Time Data Transformation roles focus on designing and implementing data pipelines, ETL processes, and data integration. Data Analysts primarily analyze data to generate reports and insights. While both roles require data skills, Data Transformation emphasizes data engineering tasks, whereas Data Analysts focus on data interpretation and visualization.

More about Full Time Data Transformation jobs

What cities are hiring for Full Time Data Transformation jobs?

Cities with the most Full Time Data Transformation job openings:

What are the most commonly searched types of Data Transformation jobs?

The most popular types of Data Transformation jobs are:

Infographic showing various Full Time Data Transformation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Engineer

Vienna, VA

$125K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

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
  • Build, optimize, and maintain batch and real-time data ingestion pipelines, including ETL/ELT processes for structured and unstructured data.
  • Lead design and implementation of scalable ETL processes across complex, distributed systems, and develop and manage data lake architecture for structured and unstructured data.
  • Use tools such as dbt, Informatica, Azure Data Factory, Databricks, and AWS Glue for data transformation and workflow automation, and utilize AWS services (EventBridge, S3 Event Notifications) for workflow orchestration and scheduling.
  • Write performant SQL queries and Python/JavaScript scripts for data parsing, ingestion, and cleanup.
  • Conduct data profiling, linkage, validation, and quality checks across diverse sources; ensure data quality, lineage, governance, and compliance across all systems.
  • Enable cloud-based data processing (e.g., AWS S3, Azure Blob) and support API integration.
  • Collaborate across data science, engineering, and stakeholder teams to deliver accurate and actionable data products, and support reporting and model development with the software team and data scientists.
  • Mentor junior engineers, providing technical guidance and peer reviews.
  • Maintain technical documentation for pipelines, data structures, infrastructure, standards, and data product specifications.
  • Support secure data governance practices and performance tuning in modern cloud platforms.
Required Qualifications
  • Must be a U.S. Citizen.
  • Bachelor's degree in Computer Science or a related field, with a minimum of three (3) years of relevant work experience.
  • An active security clearance, or the ability to obtain one, is required.
  • Strong proficiency in Python and SQL.
  • Hands-on experience with Pandas, PySpark, and AWS Glue.
  • Deep understanding of ETL frameworks, data lake design, and cloud-based architecture.
  • Familiarity with real-time and batch data processing tools and methodologies.
  • Experience with data governance, security compliance, and maintaining data quality standards; responsible for safeguarding sensitive information and adhering to organizational security and privacy policies.
  • Must be local to the Vienna, VA area and able to work on-site at our Vienna, VA office (3-5 days/week); hybrid arrangements available at supervisors' 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 design of scalable ETL processes across complex, distributed systems.
  • Familiarity with multi-cloud data processing (AWS S3 and Azure Blob) and API integration.
Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • 401(k) Retirement Plan with matching
  • Paid Time Off
  • Paid Federal Holidays
A salary commensurate with experience will be offered.

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.

If you would like information about how your application is processed, please contact us.