KMM Technologies, Inc.
Data Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Specialist in Reston Town Center, VA, requiring 15 years of experience, strong AWS and ML engineering skills, proficiency in Python and MLflow, and expertise in data modeling. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 27, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Reston, VA
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🧠 - Skills detailed
#SQL (Structured Query Language) #Version Control #Scala #Computer Science #MLflow #Spark (Apache Spark) #Python #AWS (Amazon Web Services) #Data Modeling #ML (Machine Learning) #Model Validation #Airflow #Data Pipeline #SageMaker #GIT
Role description
Data/Modelling Engineer- F2F IS A MUST
Location: Reston Town Center, VA-3 days onsite
15 years of experience. Need to take online Glider test to be considered.
Required Skills & Experience
• Strong experience with AWS and ML engineering
• Proficiency in Python and MLflow
• Hands on expertise with Domino and SageMaker SDKs
• Experience with feature engineering and scalable data pipelines
• Knowledge of model validation, explainability, and bias/fairness tooling
• Familiarity with Git based workflows, version control, and MLOps practices
• This IT role requires a significant set of technical skills, including a deep knowledge of SQL, data modeling, and tools like Spark/Hive/Airflow.
Education/Work Exprerience: 1) Bachelor degree in Computer Science, Information Systems or related field 2) Post-graduate degree desired 3) Professional certification(s) desired 15+ years relevant experience
Data/Modelling Engineer- F2F IS A MUST
Location: Reston Town Center, VA-3 days onsite
15 years of experience. Need to take online Glider test to be considered.
Required Skills & Experience
• Strong experience with AWS and ML engineering
• Proficiency in Python and MLflow
• Hands on expertise with Domino and SageMaker SDKs
• Experience with feature engineering and scalable data pipelines
• Knowledge of model validation, explainability, and bias/fairness tooling
• Familiarity with Git based workflows, version control, and MLOps practices
• This IT role requires a significant set of technical skills, including a deep knowledge of SQL, data modeling, and tools like Spark/Hive/Airflow.
Education/Work Exprerience: 1) Bachelor degree in Computer Science, Information Systems or related field 2) Post-graduate degree desired 3) Professional certification(s) desired 15+ years relevant experience
