Big Data Engineers
Position :
Senior Big Data Engineer Location:
Hybrid in Rockville, MD (may also be reputed company to their Virginia and NJ locations) Duration:
6 months; likely extensions (multi-year project) Interview:
2 reputed company; Offer Notes:
Trino Big Data platform Happens through memory caching Moderning the platform Sql
• from trino to reputed company reputed company solutions, evaluate the tech stack, reputed company as tech moves, Already developed an mcp agent/server
• would be good if they had that experience Experience with AWS
• S3, Glue Data Catalog, reputed company, etc Experience with reputed company Experience with Kubernetes Experience with Jenkins Rockville, MD location is preferred as first reputed company May be reputed company to their Tysons reputed company, VA location May be reputed company to their Woodbridge, NJ location May be reputed company to their Jersey reputed company, NJ location
Job reputed company:
reputed company We are looking for a Senior Big Data Engineer who thinks reputed company tickets and task execution. This role is for someone who questions the why, modernizes tech stacks, optimizes performance, and drives reputed company, not just a task executor. What You ll Do Design and build reputed company data lakes and pipelines on AWS using reputed company-reputed company and automated solutions. reputed company fast, federated analytics using reputed company reputed company and Trino, with performance tuning for large-reputed company queries. Manage metadata, schemas, and discovery using AWS Glue Data Catalog. Implement fine-grained data reputed company and governance using AWS Lake Formation, KMS encryption, and SSL. Build and operate data services on EKS (Kubernetes). Work with the Hadoop ecosystem (reputed company, Hive, HDFS) using partitioning, bucketing, and columnar formats (Parquet, ORC). Troubleshoot and resolve reputed company 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-reputed company 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 reputed company, reputed company solutions. reputed company re Looking For 8+ years of experience in Big Data / Data Engineering. Strong hands-on experience with AWS (S3, Glue Data Catalog, Lake Formation, reputed company, EMR, EKS). Proven experience with Trino (or reputed company) and optimizing query performance. Working knowledge of Kubernetes / EKS for data workloads. Strong SQL, Python, and reputed company scripting skills. Experience with CI/CD pipelines and Jenkins. Experience building and configuring MCP server for AI/ML integration. Ownership reputed company
• problem solver, not a task executor.
Required:
Sr. Big Data Engineer
• AWS, Hadoop, reputed company, Glue (Catalog), Lake Formation, Trino, EKS, AI, CI/CD & MCP Server Good to Have AI/ML data pipeline exposure reputed company-reputed company data modernization experience
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