Senior Data Engineer

Senior SC Data Engineer --Columbia, MD (Hybrid) Columbia, MD, US Senior Full-time ID: 90002 Estimated Salary: The estimated salary range for this position is between $133,000 and $238,000 DOE About our client: Our client delivers high-quality solutions and services to IC, DoD, Federal, and commercial customers. Their security, software, and systems engineers and architects work at the forefront of national challenges, solving some of the most complex problems in cyber analytics and data science. Our Client's Values Professionalism and a mission-centric mindset are core to how they operate, shaping both their work and the way they conduct themselves. They take pride in fostering a culture of learning, growth, and excellence --- for their employees, their partners, and the customers they serve. Description We are seeking a talented Data Engineer to support our client's ingestion of mission-critical and mission-support data sets into a big data environment. The ideal candidate will have a background in supporting cyber and/or network-related missions within military spaces, as either a developer, analyst, or engineer. Additionally, this role includes responsibilities for leading the department, requiring advanced expertise and leadership capabilities. Requirements ?++Essential Job Responsibilities++ Work with big data systems and complex structured and unstructured data sets. Support government data acquisition, analysis, and sharing efforts. Focus on software infrastructure for big data scaled ingestion, including understanding and ingesting new data sources, modifying existing data sources, implementing testing, establishing monitoring, and troubleshooting. Lead the department in achieving strategic goals, ensuring data integrity, and fostering a collaborative and innovative work environment. ++Minimum Qualifications++ Security Clearance-Current active TS/SCI eligible At least 14 years of experience in one of the following: Software development/engineering, data engineering, database engineering, etc. ( 4 additional years relevant experience can substitute for a BS degree) Experience with Unit and Integration testing. Fluency with data extraction, custom translation development, and loading including data prep and labelling to enable data analytics. Familiarity with various log formats such as JSON, XML, and others. Experience with data flow, management, and storage solutions (i.e. Kafka, NiFi, and AWS S3 and SQS solutions) Ability to decompose technical problems and troubleshoot both system and dataflow issues. Must be certified DoD IAT II or higher Willingness to do a programming challenge during the interview process. Experience with Zoom/Teams/Meet style team meetings ++Languages:++ Java: Experience with Java, including unit and integration testing. Python: Experience with Python is desired. SQL: Familiarity with SQL schemas and statements. ++Tools and Technologies:++ Data Flow Solutions: Experience with Kafka, NiFi, AWS S3, and SQS. Version Control and Build Tools: Proficiency with Maven and GitLab. Data Formats: Familiarity with JSON, XML, SQL, and compressed file formats. Configuration Files: Experience using YAML files for data model and schema configuration. Apache NiFi: Significant experience with NiFi administration and building/troubleshooting data flows. AWS S3: bucket administration. IDE: VSCode, IntelliJ / PyCharm, or other suitable ++Technical Expertise++: ETL creation and processing expertise. Experience with code debugging concepts Expertise in data modelling design, troubleshooting, and analysis from ingest to visualization. Conducted data model reviews covering data meaning, needs, storage, creation, ingest, and processing. Developed custom logic for data modification from various sources. Database and Software Admin & Troubleshooting: Experience with databases, ODBC drivers Linux OS (BASH), and basic server administration. Expert in data model analysis and troubleshooting issues. Analyzed and solved complex technical problems. ++Desired Skills:++ Prior experience in cyber/network security operations Familiarity with Agile environments. Good communication skills. Developed documentation and training in areas of expertise. Amazon S3, SQS/SNS Admin experience Apache Airflow Workloads via UI or CLI a plus Experience with Mage AI a plus Kubernetes, Docker #J-18808-Ljbffr