KMM Technologies, Inc.
Data Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Specialist in Reston, VA, with a contract length of unspecified duration. The pay rate is also unspecified. Candidates must have 5–7+ years of AWS data engineering experience, proficiency in ETL/ELT pipelines, and relevant certifications.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Reston, VA
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🧠 - Skills detailed
#Computer Science #Logging #S3 (Amazon Simple Storage Service) #Data Processing #Automation #Splunk #AWS (Amazon Web Services) #PySpark #Spark (Apache Spark) #Documentation #Cloud #Data Quality #RDS (Amazon Relational Database Service) #Data Pipeline #"ETL (Extract #Transform #Load)" #Data Engineering #Redshift #Agile #Python #AWS Glue #IAM (Identity and Access Management) #Monitoring #Scripting #Lambda (AWS Lambda) #DynamoDB
Role description
•
• ONLY LOCALS TO VIRGINIA AND W2 ARE ACCEPTED BY CLIENT
•
•
•
• F2F IS A MUST- ONSITE 3 DAYS IN A WEEK
• AWS Data Engineer.
Reston, VA (3 days onsite)
5–7+ years of experience with AWS data engineering, ETL/ELT pipelines, and cloud‑native data processing.
Looking for proficiency in the following areas –
• AWS Data Services (Glue [PySpark], Lambda, Step Functions, S3, DynamoDB, Redshift, RDS, CloudWatch, IAM)
• Building and maintaining ETL/ELT data pipelines using AWS Glue, PySpark, Lambda, and orchestration frameworks
• Python scripting for ETL transformations, automation, and data quality checks
• Experience with distributed data processing (Spark / PySpark)
• Experience integrating data from APIs, AWS services, and external systems
• Familiarity with monitoring and logging tools (CloudWatch, Splunk)
• Experience working with COTS or enterprise platforms as data sources
Other Requirements –
• Exposure to Agile methodology
• Good communication, documentation, and teamwork skills
• Ability to support off-hours production releases and provide on-call support for critical data pipelines
Education –
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
• Relevant professional certifications
•
• ONLY LOCALS TO VIRGINIA AND W2 ARE ACCEPTED BY CLIENT
•
•
•
• F2F IS A MUST- ONSITE 3 DAYS IN A WEEK
• AWS Data Engineer.
Reston, VA (3 days onsite)
5–7+ years of experience with AWS data engineering, ETL/ELT pipelines, and cloud‑native data processing.
Looking for proficiency in the following areas –
• AWS Data Services (Glue [PySpark], Lambda, Step Functions, S3, DynamoDB, Redshift, RDS, CloudWatch, IAM)
• Building and maintaining ETL/ELT data pipelines using AWS Glue, PySpark, Lambda, and orchestration frameworks
• Python scripting for ETL transformations, automation, and data quality checks
• Experience with distributed data processing (Spark / PySpark)
• Experience integrating data from APIs, AWS services, and external systems
• Familiarity with monitoring and logging tools (CloudWatch, Splunk)
• Experience working with COTS or enterprise platforms as data sources
Other Requirements –
• Exposure to Agile methodology
• Good communication, documentation, and teamwork skills
• Ability to support off-hours production releases and provide on-call support for critical data pipelines
Education –
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
• Relevant professional certifications
