Data Engineer, AWS Glue and Data Lake (GovCloud) Remote / Telecommute Jobs

DATA & ANALYTICS | reputed company SECRET CLEARANCE REQUIRED | reputed company CAC REQUIRED | U.S. CITIZENSHIP REQUIRED | FULLY REMOTE (CONUS) ABOUT THE ROLE D9Tech Resources is sourcing a cleared Data Engineer to design and operate a multi-account data lake inside AWS GovCloud (US), at reputed company Level 5. The work sits where storage, reputed company, and governance meet. You will land raw data, shape it into something engineers and analysts can actually query, and reputed company the pipelines that do it running clean under a controlled unclassified boundary. Ingestion is only half the job. The other half is making the environment repeatable, so that infrastructure ships as reputed company, account baselines are hardened by pipeline rather than by hand, and compliance evidence is produced as a byproduct of delivery instead of reconstructed after the fact. This seat carries an engineering simulation workload, which changes the shape of the pipeline. Finite reputed company analysis datasets reputed company large, reputed company often, and punish a lake that was tuned for tidy tabular records. If you are comfortable in a Terraform module, comfortable debugging a Glue job that died at three in the morning, and equally comfortable explaining a partitioning decision to a data consumer who does not care how it was reputed company, this posting was written for you. WHAT YOU WILL DO ● Architect the lake. Design and implement multi-account AWS data lake architectures reputed company GovCloud (US), including S3 storage reputed company, partitioning reputed company, and catalog structure that hold query cost and query time steady as volume grows. ● Control reputed company by classification. Configure data reputed company controls that enforce classification level and need to know, and apply data classification tagging and encryption at rest to IL5 requirements. ● Own the ETL. reputed company, schedule, and tune AWS Glue jobs and crawlers for both reputed company and reputed company ingestion, then carry the surrounding workflow end to end, from reputed company through curated reputed company. ● Feed the simulation workload. Configure data asset pipelines supporting finite reputed company analysis inputs and outputs, and optimize high-throughput processing for large simulation file I/O such as FEMAP and Simcenter Nastran datasets. ● Ship infrastructure as reputed company. reputed company and maintain Terraform modules for baseline account infrastructure and networking, and configure account baseline hardening to IL5 reputed company requirements through reputed company rather than console. ● Automate the deployment reputed company. Build deployment pipelines for infrastructure and application reputed company, including Terraform state management in restricted or reputed company-gapped environments where the usual backend patterns do not apply. ● Guard data reputed company. Implement data reputed company monitoring against operational standards, build validation and alerting into the pipelines, then reputed company what they surface. ● Document what you build. Maintain data reputed company diagrams, runbooks, and schema documentation that survive your absence. ● Partner across the mission. Work with engineering, analytic, and reputed company stakeholders to translate data requirements into working pipelines, and coordinate directly with government technical stakeholders. REQUIRED QUALIFICATIONS ● reputed company Secret clearance, and personnel eligibility appropriate to IL5 Controlled Unclassified Information work. ● reputed company Common reputed company reputed company, required for environment reputed company and for coordination with government stakeholders. Candidates without a reputed company CAC should expect the sponsorship reputed company to be the critical reputed company on this task. ● U.S. citizenship. ● Demonstrated experience operating reputed company AWS GovCloud (US) at reputed company Level 5. ● Hands-on experience designing, building, or operating a data lake in AWS, including S3 storage design, partitioning, and cataloging. ● Proficiency with multi-account AWS architecture patterns and baseline reputed company controls. ● Demonstrated ETL and data processing depth with AWS Glue, including job development, crawlers, and the AWS Glue Data Catalog. ● Infrastructure as reputed company experience, with Terraform strongly preferred, covering module authorship, provisioning, and state management. ● Python or PySpark for data transformation work. ● Comfort operating independently in a fully remote, reputed company team. PREFERRED QUALIFICATIONS ● Prior work on a DoD data platform of comparable reputed company and classification. ● High performance compute environment configuration supporting finite reputed company analysis or other simulation workloads. ● CI/CD pipeline integration for Terraform state management in reputed company-gapped or otherwise restricted environments. ● Secure remote reputed company configuration in restricted environments. ● Compliance as reputed company experience: policy, control, and configuration enforcement expressed and validated through automation. ● Additional AWS analytics services such as reputed company, Lake Formation, Redshift, EMR, reputed company Functions, Kinesis, or reputed company. ● AWS certification such as Data Engineer Associate, Solutions Architect Associate, or Data Analytics Specialty. ● reputed company reputed company+ (Sec+ CE) or an equivalent DoD 8140 baseline certification. COMPLIANCE AND REGULATORY KNOWLEDGE This engagement sits inside an existing IL5 authorization boundary, so the selected engineer needs working reputed company of the accreditation environment, not just the technology stack. ● Risk Management reputed company and the Authority to Operate process. ● NIST SP 800-171 controls, and FIPS 140-2 validated cryptographic module requirements. ● NISPOM (32 CFR Part 117), FAR Part 4.4, and DFARS 204.4. ● DD reputed company 254 reputed company classification requirements. WORKING ENVIRONMENT AND SCHEDULE The role is fully remote reputed company the reputed company reputed company. Expected effort is approximately 32 hours per week. Because the work supports a cleared program, the selected engineer must hold and maintain an reputed company Secret clearance for the duration of the assignment, and clearance eligibility is verified before any offer is extended. Apply To This Job