Data Engineer

Overview

Remote
On Site
USD 113,000.00 - 188,000.00 per year
Full Time

Skills

Data Science
Security Clearance
Version Control
Data Loading
Analytics
Management
Workflow
Collaboration
Data Quality
Data Migration
Legacy Systems
High Availability
Data Flow
Knowledge Sharing
Emerging Technologies
DevOps
Software Development
Programming Languages
Java
Python
SQL
PySpark
Extract
Transform
Load
Database
Oracle
MySQL
PostgreSQL
Microsoft SQL Server
MongoDB
Data Modeling
Stored Procedures
API
RESTful
SOAP
Amazon S3
Amazon SQS
Cosmos-Db
Orchestration
Docker
Kubernetes
Continuous Integration
Continuous Delivery
Jenkins
Apache Maven
Git
Bitbucket
GitHub
Splunk
Elasticsearch
Agile
Analytical Skill
Amazon Web Services
Microsoft Azure
Cloud Computing
Data Engineering
Data Visualization
Kibana
Tableau
Regulatory Compliance
Microservices
Spring Framework
Artificial Intelligence
Machine Learning (ML)
Training
Insurance
Personal Development
Community Development
SAP BASIS
Law
LOS
Communication
Banking
Reporting
Recruiting

Job Details

Job Family:
Data Science Consulting

Travel Required:
Up to 10%

Clearance Required:
Ability to Obtain Public Trust

What You Will Do:
Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. The ideal candidate will have hands-on experience with modern data engineering tools, cloud services, CI/CD, and version control, and will collaborate with cross-functional teams to deliver high-quality, scalable data solutions.
  • Design, develop, and maintain robust data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources.
  • Build and optimize data architectures and models to support analytics, reporting, and operational needs.
  • Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git.
  • Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions), and containerization (Docker, Kubernetes).
  • Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.
  • Ensure data quality, integrity, and security through rigorous validation, monitoring, and logging (e.g., Splunk, CloudWatch, Kibana).
  • Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption.
  • Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.
  • Document data flows, processes, and technical solutions for knowledge sharing and compliance.
  • Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps.

What You Will Need:
  • ship is required
  • Bachelor's degree is required
  • Minimum FIVE (5) years of experience in data engineering, software development, or related roles.
  • Proficient experience with: Programming languages (Java, Python, SQL, Pyspark); Data pipeline and ETL development; Database technologies (Oracle, MySQL, Postgres, SQL Server, MongoDB); Data modeling, stored procedures, and API development (RESTful, SOAP)
  • Demonstrated experience with: Cloud platforms: AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions); Containerization and orchestration (Docker, Kubernetes); CI/CD tools (Jenkins, Maven, Git, Bitbucket, GitHub); Monitoring and logging tools (Splunk, CloudWatch, Kibana, Elasticsearch)
  • Effectively operate using Agile methodologies.
  • Ability to work in fast-paced environment independently
  • Strong analytical, troubleshooting, and communication skills, including communicate complex technical concepts in salient terms to diverse audience types

What Would Be Nice To Have:
  • Experience supporting federal programs and/or large-scale data modernization projects.
  • Certifications in AWS, Azure, or other cloud/data engineering domains.
  • Experience with data visualization tools (e.g., Kibana, Tableau).
  • Familiarity with security best practices and compliance in federal environments.
  • Experience with microservices, Spring Boot, and integration of AI/ML components.
  • Previous consulting experience

The annual salary range for this position is $113,000.00-$188,000.00. 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- 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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