Data Engineer

Data Engineer – Production Support (Spark / AWS) Location: McLean, VA Onsite: 5 days per week required Interview Process: 2 internal rounds + 1 client round, then offer. FAST process. Overview: We are hiring a Data Engineer to support enterprise-scale data platforms within a highly regulated environment. This role is focused on production support and reliability of data pipelines. The ideal candidate has strong troubleshooting skills, experience supporting Spark jobs in production, and comfort working within AWS-based data ecosystems. This is not a pure development role. It is hands-on production support, monitoring, and optimization. What You’ll Be Doing: Monitor and support PySpark-based data pipelines Troubleshoot production incidents and perform root cause analysis Support AWS environments including EMR, EKS, S3, Glue, and Step Functions Manage workflows using Control-M Support data platforms leveraging Snowflake or MongoDB Analyze logs and proactively resolve system issues Collaborate with engineering and operations teams Must Have: 2–5 years Data Engineering experience Strong PySpark Advanced SQL Python AWS experience (EMR, EKS, S3, Glue, Step Functions) Production support experience Strong troubleshooting and analytical skills Nice to Have: Control-M Snowflake or MongoDB Elasticsearch Work Authorization: C2C allowed OPT OK H1B OK GC OK Key Notes: 5 days onsite in McLean, VA is mandatory Junior to mid-level candidates acceptable Production support heavy role Must be comfortable working in structured enterprise environments Need profiles ASAP Fast-moving process