Guidehouse

Data Engineer - Senior Consultant

Guidehouse$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s degree required
  • Minimum four years of experience in data engineering with data pipeline development
  • Strong proficiency in Python, PySpark, and SQL
  • Experience with Databricks and Delta Lake for data layer development
  • Knowledge of AWS data services like S3 and IAM
  • Experience implementing data quality checks and monitoring
  • Familiarity with data governance concepts in regulated environments

Responsibilities

  • Develop scalable data ingestion and transformation pipelines using Databricks and AWS services
  • Implement standardized batch and near real-time data pipelines integrating legacy and cloud-native systems
  • Support full data pipeline lifecycle activities and align development work with governance processes
  • Build production-ready data pipelines that meet technical standards and participate in validation
  • Apply data quality checks and observability practices to improve pipeline reliability
  • Integrate pipelines with AWS services and data tools for secure data movement
  • Contribute to governed data engineering practices and support analytics use cases

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Potential for discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life Insurance
  • Health Savings Account & Flexible Spending Accounts
  • Short-Term & Long-Term Disability Coverage
  • Student Loan PayDown Program
  • Tuition Reimbursement and Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Community Outreach and Corporate Sponsored Events
  • Emergency Back-Up Childcare Program
  • Mobility Stipend
Full Job Description

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 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.
Learn more about Guidehouse
Size
8,000 employees
Industry
Founded
2018

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