6 years of experience in data or programming disciplines
3 years of experience in data engineering
Proficiency in Python, PySpark, and SQL
Experience with ETL/ELT pipeline management
Excellent problem-solving skills and attention to detail
Responsibilities
Design and maintain scalable data pipelines in Databricks
Transform raw data into analysis-ready datasets
Develop automated data-quality controls for ETL jobs
Monitor and troubleshoot production workflows
Optimize pipeline performance and cost
Implement data-governance and quality-assurance standards
Collaborate with stakeholders to define data requirements
Lead client meetings and track action items
Participate in peer reviews and continuous improvement efforts
Benefits
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Tuition Reimbursement and Learning Opportunities
Skills Development & Certifications
Emergency Back-Up Childcare Program
Mobility Stipend
Full Job Description
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 a management consulting firm headquartered in Washington, D.C. The firm provides consulting services to clients in the public and commercial sectors, with a focus on energy, financial services, healthcare, national security, and aerospace and defense. Guidehouse was founded in 2018 as a spin-off from PwC. The firm has over 7,000 employees and operates in more than 50 locations worldwide.
