Job Family:
Data Engineering & Architecture Consulting
Travel Required:
Up to 10%
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
- Develop and maintain scalable data ingestion, transformation, and curation pipelines using Databricks (Delta Lake, Delta Live Tables, Auto Loader) and AWS services, supporting consistent delivery of analytics-ready datasets across the Data Platform.
- Implement standardized batch and near real-time data pipelines that integrate legacy systems and cloud-native data sources, contributing to enterprise-wide data access, reuse, and platform consistency.
- Support full data pipeline lifecycle activities, including intake, requirements analysis, source profiling, and technical implementation, aligning development work with defined intake processes, SLAs, and governance.
- Build production-ready data pipelines that meet defined technical and documentation standards, including participation in validation, testing, and release processes to enable reliable and compliant production deployments.
- Apply data quality checks, validation rules, and observability practices to improve pipeline reliability, support monitoring, and contribute to platform stability and operational performance targets.
- Integrate pipelines with AWS services (e.g., S3, streaming frameworks, APIs) and enterprise data tools to support secure, scalable data movement and interoperability across the ecosystem.
- Contribute to governed data engineering practices by implementing metadata capture, lineage tracking, and supporting access control patterns aligned to enterprise data governance standards.
- Support analytics and reporting use cases by preparing curated datasets and enabling consumption through SQL-based access, dashboards, and enterprise BI tooling.
What You Will Need:
- Bachelor?s degree is required
- Minimum FOUR (4) years of experience in data engineering, with hands-on development of data pipelines in cloud or distributed data environments.
- Strong proficiency in Python, PySpark, and SQL for building and maintaining scalable ETL/ELT pipelines.
- Experience working with Databricks and Delta Lake to support ingestion, transformation, and curated data layer development.
- Working knowledge of AWS data services (e.g., S3, IAM, VPC) and integration patterns supporting secure and scalable data architectures.
- Experience implementing data quality checks, monitoring, and basic performance optimization techniques for pipeline efficiency and reliability.
- Familiarity with data governance concepts, including metadata, lineage, and access control frameworks in regulated environments.
- Experience working within Agile delivery environments and contributing to CI/CD-enabled development workflows.
What Would Be Nice To Have:
- Experience supporting enterprise data platforms or federal data modernization initiatives, particularly in highly regulated environments.
- Exposure to streaming technologies such as Kafka, Kinesis, or EventBridge for near real-time data processing.
- Familiarity with Databricks Unity Catalog and governance capabilities (RBAC, data masking, auditing).
- Experience using metadata/catalog tools such as Informatica EDC or similar platforms.
- Understanding of DevSecOps practices, including automated testing, deployment, and environment promotion across dev/test/prod.
- Exposure to performance optimization techniques (e.g., partitioning, Z-ordering, clustering) for large-scale data processing workloads.
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- or via email at . 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 . 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 . 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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