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Data Engineer - Managing Consultant Security Clearance

Job in McLean, Fairfax County, Virginia, USA
Listing for: Guidehouse
Full Time position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Position: Data Engineer - Managing Consultant with Security Clearance
Job Family :
Data Engineering & Architecture Consulting Travel Required :
Up to 10% Clearance Required :
Ability to Obtain Public Trust

What You Will Do:

* Design, build, and optimize scalable, production-grade data ingestion, transformation, and analytics-ready pipelines using Databricks (Delta Lake, Delta Live Tables, Auto Loader) and AWS services, enabling trusted, timely data access across enterprise use cases.

* Engineer standardized, repeatable data pipelines supporting batch and near real-time processing, integrating legacy data sources and modern cloud-native services to advance enterprise data availability and eliminate data access gaps.

* Execute full delivery lifecycle by supporting intake, discovery, source profiling, and technical design, while maintaining requirements traceability and aligning solutions to Architecture Review Board (ARB) and governance expectations.

* Implement and maintain governed data pipelines with embedded metadata, lineage, and data quality controls, ensuring pipelines meet defined technical, security, and documentation requirements before production deployment.

* Develop and operationalize data engineering frameworks that incorporate observability, monitoring, alerting, and resilient error handling to maintain platform stability and support ≥99.9% availability targets.

* Partner with platform engineering and cloud operations teams to integrate pipelines with AWS services (S3, Glue, Kafka/Kinesis, APIs), enabling secure, scalable data movement and cross-platform interoperability.

* Enable governed analytics and self-service data consumption through curated datasets, semantic layers, and SQL warehouse integration, supporting enterprise reporting, dashboards, and advanced analytics use cases.

* Apply security and compliance controls aligned to IRS cybersecurity policies, including RBAC/ABAC, data masking, encryption, and audit logging to protect sensitive data and maintain regulatory compliance.

What You Will Need:

* Bachelor's degree is required

* Minimum EIGHT (8) years of experience in data engineering within cloud-based environments,

* Minimum FOUR (4) years of hands-on Databricks experience designing scalable data pipelines.

* Advanced proficiency in Python, PySpark, and SQL for large-scale data processing and pipeline development in lakehouse architectures.

* Demonstrated experience building and optimizing data pipelines leveraging Delta Lake, medallion architecture, and modern data ingestion frameworks (batch and streaming).

* Strong experience with AWS data platforms and services (e.g., S3, IAM, VPC, Glue, streaming frameworks) and integration with enterprise data ecosystems.

* Experience delivering production-ready data solutions incorporating metadata management, lineage, data quality, and observability frameworks.

* Familiarity with Dev Sec Ops  and CI/CD pipeline implementation, including automation, testing, and deployment within cloud data environments.

* Knowledge of data governance, security, and compliance requirements within regulated environments, including FISMA and FedRAMP High What Would Be Nice to Have:
* Experience supporting federal data platforms or large-scale enterprise data modernization efforts, particularly within IRS, Treasury, or similar regulated environments.

* Hands-on experience with Databricks Unity Catalog, Delta Sharing, Genie, and Clean Rooms for governed data access and collaboration.

* Experience implementing streaming and near real-time data pipelines using Kafka, Kinesis, Event Bridge, or similar technologies.

* Familiarity with Informatica EDC/Axon or enterprise metadata/catalog tooling.

* Experience with performance optimization techniques (Photon, Z-ordering, liquid clustering) to improve large-scale data workloads.

* Exposure to CI/CD automation using Terraform, Git Hub Actions, and Databricks Asset Bundles for infrastructure and pipeline deployment.

* Advanced cloud or Databricks certifications (AWS, Databricks) in good standing.

What We Offer :
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and…
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