Data Engineer - Mid

Posted Yesterday
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McLean, VA, USA
In-Office
4K-4K Hourly
Senior level
Consulting
The Role
Design, build, and maintain scalable Databricks-based lakehouse pipelines (batch and near-real-time) on AWS, enforcing metadata, lineage, data quality, security, observability, and governance to support analytics and enterprise reporting.
Summary Generated by Built In

Job Family:

Data Science & Analysis


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

  • EIGHT (8) or more years of experience in data engineering within cloud-based environments,

  • FOUR (4) or more years of hands-on Databricks experience designing scalable data pipelines.

  • Experience in Python, PySpark, and SQL for large-scale data processing and pipeline development in lakehouse architectures.

  • Experience building and optimizing data pipelines leveraging Delta Lake, medallion architecture, and modern data ingestion frameworks (batch and streaming).

  • 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.

What Would Be Nice to Have:

  • Familiarity with DevSecOps 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

  • 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, EventBridge, 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, GitHub 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 supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected].  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Skills Required

  • Bachelor's degree
  • 8 or more years of experience in data engineering within cloud-based environments
  • 4 or more years of hands-on Databricks experience designing scalable data pipelines
  • Experience with Python, PySpark, and SQL for large-scale data processing
  • Experience building and optimizing data pipelines leveraging Delta Lake and medallion architecture
  • Experience with AWS data platforms and services (S3, IAM, VPC, Glue, streaming frameworks)
  • Experience delivering production-ready data solutions incorporating metadata management, lineage, data quality, and observability
  • Ability to obtain Public Trust

Guidehouse Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidehouse and has not been reviewed or approved by Guidehouse.

  • Healthcare Strength Feedback suggests the benefits package includes broad medical, dental, vision, prescription, life, and disability coverage, which is often seen as a strong foundational offering. Access to HSA/FSA options further supports day-to-day healthcare and dependent-care needs.
  • Parental & Family Support Feedback suggests parental leave and adoption assistance are available, alongside an emergency back-up childcare program. These offerings indicate meaningful support for employees managing family responsibilities.
  • Wellbeing & Lifestyle Benefits Feedback suggests flexible work options and counseling/EAP-style support are part of the broader rewards mix. Additional lifestyle-oriented perks like community events and referral programs are also described as available in some contexts.

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The Company
HQ: McLean, VA
12,000 Employees
Year Founded: 2018

What We Do

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.

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