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Location
In office (Arlington)
Seniority
Senior · 6+ years exp
Visa
H-1B filings in 12 months: 63 · for this role: 11 · green card filings: 27
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026. Guidehouse scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Guidehouse is a management and technology consultancy created in 2018 when Veritas Capital bought the public sector advisory practice of PwC, and expanded a year later by acquiring Navigant. It advises United States federal and state agencies, health systems, energy utilities and financial institutions on programme delivery, regulatory compliance, risk, digital modernisation and data analytics, with a heavy concentration in defence, health and civilian government work. Headquartered in McLean, Virginia, the firm employs a large share of security-cleared staff and was acquired by Bain Capital in 2023.

Job Family:

Data Engineering & Architecture Consulting

Travel Required:

Up to 50%

Clearance Required:

Active Secret

What You Will Do:

  • Design, develop, test, deploy, and maintain scalable batch and streaming data pipelines in Databricks using Python, PySpark, SQL, and reusable engineering patterns.
  • Transform raw source data into curated, analysis-ready datasets and dimensional models that support cybersecurity metrics, risk analysis, dashboards, and executive reporting.
  • Develop automated data-quality controls for ETL jobs, including schema, completeness, validity, consistency, uniqueness, timeliness, referential-integrity, and source-to-target reconciliation checks.
  • Define appropriate handling for failed quality checks, including quarantining invalid records, stopping critical loads, generating alerts, documenting exceptions, and coordinating corrective action with data owners.
  • Schedule and orchestrate production workflows; monitor job status, freshness, throughput, latency, resource utilization, and failures; troubleshoot root causes; and restore processing within agreed service levels.
  • Optimize pipeline reliability, performance, and cost through efficient transformations, workload configuration, incremental processing, partitioning, and compute-resource management.
  • Implement and maintain data-governance and quality-assurance standards, including access controls, metadata, data classification, ownership, lineage, retention, auditability, and protection of sensitive cybersecurity information.
  • Maintain source-to-target mappings, data dictionaries, transformation rules, validation evidence, standard operating procedures, runbooks, and other technical documentation needed for operations, knowledge transfer, and audit readiness.
  • Partner with cybersecurity analysts, data owners, system administrators, dashboard developers, and business stakeholders to define data requirements, metrics, thresholds, and acceptance criteria.
  • Maintain effective working relationships with client management and staff, anticipate stakeholder needs, communicate delivery risks and dependencies, and resolve issues in a timely and professional manner.
  • Organize and lead client meetings by coordinating schedules, developing and distributing agendas and pre-read materials, facilitating discussions and decisions, recording minutes, maintaining required documentation, and tracking action items through closure.
  • Participate in peer reviews, testing, release activities, and continuous-improvement efforts to strengthen engineering practices, reduce recurring defects, and improve the reliability and usability of data products.

What You Will Need:

  • An ACTIVE and CURRENT SECRET federal security clearance
  • Bachelor’s degree
  • SIX (6) years of total experience in a data or programming discipline, including THREE (3) years of experience in data engineering
  • Proficiency in data engineering-related programming languages such as Python, PySpark, and/or SQL
  • Experience with scheduling, monitoring, troubleshooting, and optimizing production ETL/ELT pipelines
  • Experience with data engineering principles and best practices
  • Excellent problem-solving skills and attention to detail
  • Selected Candidate must be able to commute to client and Guidehouse offices as needed

What Would Be Nice To Have:

  • Master’s degree in computer science or related field
  • Experience working with system and application logs
  • Familiarity with the Databricks platform
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment
The annual salary range for this position is $85,000.00-$141,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

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

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

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.

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