KMM Technologies, Inc.
Senior Big Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Big Data Engineer with 8+ years of experience, focusing on AWS, Hadoop, and CI/CD. It’s a long-term hybrid position in Rockville, MD or Tysons, VA, offering a competitive pay rate.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
680
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🗓️ - Date
March 5, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Rockville, MD
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🧠 - Skills detailed
#Datasets #Hadoop #ML (Machine Learning) #Shell Scripting #Cloud #Data Engineering #AWS Glue #Data Catalog #AWS (Amazon Web Services) #Data Pipeline #Data Lake #Grafana #Python #Spark (Apache Spark) #S3 (Amazon Simple Storage Service) #Scripting #Jenkins #Scrum #Scala #AWS S3 (Amazon Simple Storage Service) #Metadata #Big Data #HDFS (Hadoop Distributed File System) #Athena #AI (Artificial Intelligence) #Data Access #SQL (Structured Query Language) #Trino #Presto #Kubernetes
Role description
Position: Senior Big Data Engineer
Location: Rockville, MD or Tysons, VA, NY/NJ - Hybrid - Weely 3 days onsite
Duration: Long Term
Requirements:
Sr. Big Data Engineer – AWS, Hadoop, Athena, Glue (Catalog), Lake Formation, Trino, EKS, AI, CI/CD & MCP Server
We are looking for a Senior Big Data Engineer who thinks beyond tickets and task execution. This role is for someone who questions the “why,” modernizes tech stacks, optimizes performance, and drives outcomes, not just a task executor.
What You’ll Do
• Design and build scalable data lakes and pipelines on AWS using cloud-native and automated solutions.
• Enable fast, federated analytics using Amazon Athena and Trino, with performance tuning for large-scale queries.
• Manage metadata, schemas, and discovery using AWS Glue Data Catalog.
• Implement fine-grained data access and governance using AWS Lake Formation, KMS encryption, and SSL.
• Build and operate data services on EKS (Kubernetes).
• Work with the Hadoop ecosystem (Spark, Hive, HDFS) using partitioning, bucketing, and columnar formats (Parquet, ORC).
• Troubleshoot and resolve complex big data issues across pipelines, clusters, and queries.
• Design, implement, and maintain CI/CD pipelines using Jenkins or similar tools.
• Monitor and observe pipelines and clusters using CloudWatch and Grafana.
• Prepare high-quality datasets for AI/ML use cases.
• Build, configure, and operate an MCP server for AI/ML integration.
• Collaborate in Scrum teams; proactively identify gaps and propose out-of-the-box, scalable solutions.
What We’re Looking For
• 8+ years of experience in Big Data / Data Engineering.
• Strong hands-on experience with AWS (S3, Glue Data Catalog, Lake Formation, Athena, EMR, EKS).
• Proven experience with Trino (or Presto) and optimizing query performance.
• Working knowledge of Kubernetes / EKS for data workloads.
• Strong SQL, Python, and shell scripting skills.
• Experience with CI/CD pipelines and Jenkins.
• Experience building and configuring MCP server for AI/ML integration.
• Ownership mindset — problem solver, not a task executor.
Good to Have
• AI/ML data pipeline exposure
• Cloud-native data modernization experience
Position: Senior Big Data Engineer
Location: Rockville, MD or Tysons, VA, NY/NJ - Hybrid - Weely 3 days onsite
Duration: Long Term
Requirements:
Sr. Big Data Engineer – AWS, Hadoop, Athena, Glue (Catalog), Lake Formation, Trino, EKS, AI, CI/CD & MCP Server
We are looking for a Senior Big Data Engineer who thinks beyond tickets and task execution. This role is for someone who questions the “why,” modernizes tech stacks, optimizes performance, and drives outcomes, not just a task executor.
What You’ll Do
• Design and build scalable data lakes and pipelines on AWS using cloud-native and automated solutions.
• Enable fast, federated analytics using Amazon Athena and Trino, with performance tuning for large-scale queries.
• Manage metadata, schemas, and discovery using AWS Glue Data Catalog.
• Implement fine-grained data access and governance using AWS Lake Formation, KMS encryption, and SSL.
• Build and operate data services on EKS (Kubernetes).
• Work with the Hadoop ecosystem (Spark, Hive, HDFS) using partitioning, bucketing, and columnar formats (Parquet, ORC).
• Troubleshoot and resolve complex big data issues across pipelines, clusters, and queries.
• Design, implement, and maintain CI/CD pipelines using Jenkins or similar tools.
• Monitor and observe pipelines and clusters using CloudWatch and Grafana.
• Prepare high-quality datasets for AI/ML use cases.
• Build, configure, and operate an MCP server for AI/ML integration.
• Collaborate in Scrum teams; proactively identify gaps and propose out-of-the-box, scalable solutions.
What We’re Looking For
• 8+ years of experience in Big Data / Data Engineering.
• Strong hands-on experience with AWS (S3, Glue Data Catalog, Lake Formation, Athena, EMR, EKS).
• Proven experience with Trino (or Presto) and optimizing query performance.
• Working knowledge of Kubernetes / EKS for data workloads.
• Strong SQL, Python, and shell scripting skills.
• Experience with CI/CD pipelines and Jenkins.
• Experience building and configuring MCP server for AI/ML integration.
• Ownership mindset — problem solver, not a task executor.
Good to Have
• AI/ML data pipeline exposure
• Cloud-native data modernization experience
