FUSTIS LLC
Data Engineer(Full Time Role)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer located onsite in Washington, DC, offering a salary of $160-170k. Requires a current TS/SCI clearance, 10+ years of data engineering experience, strong Python skills, and familiarity with cloud services and data pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
170
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🗓️ - Date
February 21, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Yes
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📍 - Location detailed
Washington, DC
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🧠 - Skills detailed
#Pandas #Kubernetes #Data Management #Airflow #Cloud #MLflow #Docker #Spark (Apache Spark) #PySpark #Python #Metadata #Kafka (Apache Kafka) #Storage #Data Governance #AI (Artificial Intelligence) #Data Pipeline #Azure #ML (Machine Learning) #SageMaker #FastAPI #Data Catalog #AWS (Amazon Web Services) #Libraries #Data Engineering #Computer Science
Role description
Full Time Role, NO W2 Only No c2c
Job Title- Data Engineer(Full time)
Location: full onsite WASHINGTON, District of Columbia, Need Local Only
Visa: USC Only
Interview: Video
Salary: $160-170k
Clearance Required: Current TS/SCI . Ability to obtain DHS EOD SCI.
Required Qualifications
Bachelor's or master’s degree in computer science, Engineering, or related field.
10+ years of experience in data engineering or software development roles.
Strong proficiency in Python, including experience with libraries like pandas, PySpark, FastAPI, or similar.
Solid experience with cloud services (AWS or Azure) and Cloud native data engineering tools.
Proven experience in building and maintaining data pipelines using Kafka, Airflow, and other open-source frameworks.
Strong grasp of database internals and trade-offs between different storage technologies.
Familiarity with data governance, lineage, and metadata management concepts.
Experience or strong interest in integrating LLMs and AI/ML models into production-grade data systems.
Preferred Qualifications
Knowledge of data cataloging tools and semantic layer design.
Experience with containerization (Docker) and orchestration (Kubernetes).
Familiarity with MLOps tools or platforms (e.g., SageMaker, MLflow).
Prior experience working in regulated or secure environments.
Best Regards,
Jaideep Shastri
Sr. Technical Recruiter || FUSTIS LLC
916-915-9898 (O) X 106 | 916-365-9533 (D) | jaideep.shastri@fustis.com
Full Time Role, NO W2 Only No c2c
Job Title- Data Engineer(Full time)
Location: full onsite WASHINGTON, District of Columbia, Need Local Only
Visa: USC Only
Interview: Video
Salary: $160-170k
Clearance Required: Current TS/SCI . Ability to obtain DHS EOD SCI.
Required Qualifications
Bachelor's or master’s degree in computer science, Engineering, or related field.
10+ years of experience in data engineering or software development roles.
Strong proficiency in Python, including experience with libraries like pandas, PySpark, FastAPI, or similar.
Solid experience with cloud services (AWS or Azure) and Cloud native data engineering tools.
Proven experience in building and maintaining data pipelines using Kafka, Airflow, and other open-source frameworks.
Strong grasp of database internals and trade-offs between different storage technologies.
Familiarity with data governance, lineage, and metadata management concepts.
Experience or strong interest in integrating LLMs and AI/ML models into production-grade data systems.
Preferred Qualifications
Knowledge of data cataloging tools and semantic layer design.
Experience with containerization (Docker) and orchestration (Kubernetes).
Familiarity with MLOps tools or platforms (e.g., SageMaker, MLflow).
Prior experience working in regulated or secure environments.
Best Regards,
Jaideep Shastri
Sr. Technical Recruiter || FUSTIS LLC
916-915-9898 (O) X 106 | 916-365-9533 (D) | jaideep.shastri@fustis.com
