Job Family:Data Science Consulting
Travel Required:None
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:
- U.S. Citizenship/ Green Card is required.
- A bachelor's degree is required.
- Minimum of EIGHT (8) years of experience in data engineering, software development, or related roles.
- Proficiency in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP).
- Strong hands-on experience designing and developing data pipelines and ETL processes.
- Extensive experience with relational and NoSQL databases, such as Oracle, MySQL, PostgreSQL, SQL Server, and MongoDB, including data modeling and stored procedure development.
- Demonstrated experience with AWS cloud services, including S3, Redshift, Lambda, ECS, and SQS.
- Experience working with Databricks and large-scale data processing environments.
- Familiarity with containerization and orchestration technologies, including Docker and Kubernetes.
- Experience with CI/CD tools and pipelines, such as Jenkins, Maven, Git, GitHub, and Bitbucket.
- Hands-on experience with monitoring and logging tools, including Splunk, CloudWatch, Kibana, and Elasticsearch.
- Proven experience operating in Agile development environments.
- Familiarity with version control and collaboration tools, including Git, Jira, and Confluence.
- Ability to work independently in a fast-paced environment.
- Strong analytical and troubleshooting skills.
- Excellent verbal and written communication skills, with the ability to clearly communicate complex technical concepts to diverse audiences.
What Would Be Nice To Have:
- Experience supporting federal programs and/or large-scale data modernization projects.
- Certifications in AWS, 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 $102,000.00-$170,000.00. 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
