Data Engineer
IAMUS
full-time
Posted on:
Location Type: Hybrid
Location: San Antonio • Texas • United States
Visit company websiteExplore more
About the role
- Support the ingestion of mission-critical and mission-support data sets into a big data environment.
- 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.
Requirements
- 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 labeling 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
- Experience with Java, including unit and integration testing.
- Experience with Python is desired.
- Familiarity with SQL schemas and statements.
- Experience with Kafka, NiFi, AWS S3, and SQS.
- Proficiency with Maven and GitLab.
- Familiarity with JSON, XML, SQL, and compressed file formats.
- Experience using YAML files for data model and schema configuration.
- Significant experience with NiFi administration and building/troubleshooting data flows.
- bucket administration.
- Technical Expertise: ETL creation and processing expertise.
- Experience with code debugging concepts
- Expertise in data modeling 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.
- 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.
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringsoftware developmentunit testingintegration testingdata extractiondata analyticsdata modelingETLcode debuggingdata flow management
Soft skills
collaborationproblem solvingcommunicationleadershipinnovation
Certifications
DoD IAT IITS/SCI clearance