Entry to Sr. Data Engineer (TS/SCI)

Responsibilities: : Support continuous data ingest operations, monitoring data feeds, pipeline health, and overall data quality. Visualize and interpret data findings through dynamic reports and dashboards for leadership and users. Use data manipulation and visualization tools to communicate real‑time and historical trends. Collaborate with platform, software, and data engineering teams to reconfigure pipelines for improved reliability. Work with data in multiple formats including Excel, CSV, JSON, and XML. Support incident management processes including issue documentation, resolution, and root‑cause analysis for recurring data outages. Develop and maintain software to automate monitoring of real‑time data feeds, including alerts for timeliness, lineage, volume, and distribution issues. Qualifications: : Must have an active TS/SCI clearance Bachelor's degree in Computer Science, Mathematics, Engineering, Physics, Information Systems, or related field. 6-15 years of experience in data science, data engineering, platform engineering, software engineering, systems engineering, or any related technical discipline that has ushered experience with data migration. Experience handling structured and unstructured data across various formats. Experience with Linux OS Great to Have Experience: Proficiency with Python Experience with JSON or XML Experience with SQL Experience with ETL pipelines Experience with any of the following data streaming tools such as: Apache (Kafka, Pulsar, Flink, Storm, Samza, Spark, Beam, Redpanda, or NiFi), Confluent Platform, StreamNative Platform, Cloudera Streaming, AWS Kinesis Data Streams/Firehose, AWS MSK, Google Cloud Data Stream, Google Dataflow (stream mode), RabbitMQ, NATS Jetstream, ZeroMQ.