Why This Role Stands Out
Advance your career by leading critical data engineering initiatives for a key federal agency, leveraging your expertise in scalable data pipelines and benefiting from a hybrid work model. You'll thrive in this role if you're a proactive problem-solver with a passion for robust data solutions and a desire for professional growth within a supportive team environment. This is an excellent opportunity to make a significant impact and build a long-term career.
Quick Overview
Job Description
About SHR Consulting Group SHR is a premier technology integrator solving our nation's most complex modernization and readiness challenges across the defense, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration, enterprise IT, including cloud services: cyber, software, advanced analytics, and AI. With an intimate understanding of our customers' challenges and deep expertise in existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions.
Position Summary SHR Consulting Group is seeking a Senior Lead Data Engineer as a Key Personnel for a bid opportunity to lead data pipeline engineering, operations, performance, migration, and integration activities supporting an enterprise FEMA effort. This position is CONTINGENT UPON CONTRACT AWARD. Candidates selected for consideration must be willing to authorize the submission of their resume and qualifications in support of our proposal response.
Key Responsibilities
- Lead technical delivery for FEMA pipeline engineering, operations, performance, and migration.
- Design, construct, test, deploy, and maintain scalable batch and streaming data pipelines.
- Build and maintain metadata-driven ingestion pipelines.
- Implement robust schema evolution and data-processing patterns.
- Diagnose and resolve production pipeline failures and complex data-storage issues.
- Design pipelines consistent with FEMA's multi-zone/Medallion architecture.
- Develop modular, parameterized, and reusable pipeline patterns.
- Implement scalable ingestion and transformation solutions supporting increasing data volume, velocity, and concurrency.
- Implement engineering practices for reliability and cost efficiency, including:
- Incremental processing
- Idempotent and restartable jobs
- Partitioning
- Storage/file-layout optimization
- Compute right-sizing
- Develop automated testing, data-quality validation, and deployment automation.
- Diagnose schema drift, missing or late data, checkpoint/watermark failures, orchestration faults, and performance degradation.
- Conduct root-cause analysis of significant or recurring production issues.
- Support migration of legacy data, pipelines, reporting workloads, and dependencies.
- Support source-system onboarding and integration using APIs, connectors, batch/file transfers, CDC, and custom integration patterns.
- Provide technical leadership and mentoring to Senior Data Engineers and other engineering staff. Required Qualifications
- Extensive hands-on experience designing and developing enterprise data pipelines.
- Demonstrated experience with Databricks or comparable cloud-based Lakehouse/data engineering platforms.
- Strong experience with metadata-driven data ingestion frameworks.
- Strong knowledge of schema evolution and enterprise data-processing patterns.
- Demonstrated ability to troubleshoot live production pipeline failures.
- Experience debugging complex data-storage and processing structures.
- Experience designing batch and streaming pipelines.
- Experience with cloud-based data engineering in Federal or similarly regulated environments.
- Strong understanding of CI/CD, automated testing, data-quality validation, and deployment automation.
- Experience with scalable data architectures and high-volume enterprise data environments.
- Ability to provide hands-on technical leadership to engineering teams. Highly Desired Technical Experience
- Databricks
- Apache Spark / PySpark
- SQL
- Python
- Delta Lake
- Medallion/Lakehouse architectures
- Structured Streaming or comparable streaming technologies
- Cloud data services
- REST APIs and source-system integration
- Change Data Capture (CDC)
- CI/CD and Infrastructure/Deployment Automation
- Data quality and observability tooling
- Git/version control
- FinOps and cloud performance optimization
Preferred Qualifications
- Prior FEMA or DHS experience.
- Experience migrating legacy Federal data environments to modern cloud data platforms.
- Experience supporting data platforms used for AI/ML and Retrieval-Augmented Generation (RAG).
- Experience engineering feature pipelines, curated AI datasets, vector/embedding data stores, or AI data products.
- Experience with Federal security requirements including NIST, FISMA, FedRAMP, and DHS 4300A. Security Clearance
- U.S. Citizenship.
- Must be able to obtain and maintain the Government-required suitability/fitness determination and IT access authorization. Work Environment
- Remote.
- Candidates residing in the DC Metro Area preferred. Benefits
- Competitive salary commensurate with experience and clearance level
- Comprehensive medical, dental, and vision coverage
- 401(k) with company contribution
- Paid time off and eleven federal holidays
- Certification reimbursement and training support (DoD 8140 baseline and computing environment certifications)
- Life and disability insurance Salary Range 150,000 -165,000 USD. The salary range represents a general guideline; SHR considers a number of factors when determining the base salary offers such as the scope and responsibilities of the position, and the candidate's experience, education, skills and current market conditions. SHR Consulting Group, LLC is an
Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status
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