Lead Data Engineer

SHR Consulting Group, LLC•Bluemont, VA

10d•$150,000 - $165,000

About The Position

SHR Consulting Group, LLC is seeking a senior Lead Data Engineer as 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.

Requirements

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.

Nice To Haves

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
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.

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.