Data Engineer

Dovel Technologies, Inc; Atlanta (GA); On-site; USD 89,000 - 148,000; Full time

Benefits offered by this job

Medical, dental & vision insurance

401(k) retirement plan

Paid holidays & sick time

Parental leave

Professional development

Job summary

Guidehouse is seeking a Data Engineer with AI experience to build and optimize data pipelines, AI solutions, and analytics platforms using SQL, Python, and PySpark. You will implement CI/CD, version control, and cloud deployments with Docker, Kubernetes, and Azure Functions, collaborating with DBAs and developers to deliver scalable data solutions.

U.S. Citizenship/Green Card is required and you must obtain Public Trust; a bachelor’s degree and 5 years in data engineering or related roles are

Qualifications

• U.S. Citizenship/Green Card is required and must be able to obtain and maintain a Federal or DHS Public Trust.
• A bachelor’s degree is required.
• Five (5) years of experience in data engineering, software development, or related roles.
• Experience with Java, Python, SQL, and PySpark, and API development (RESTful and SOAP).
• Experience with Co-Pilot and CodeX and data pipelines/ETL.
• Extensive experience with relational and NoSQL databases (MySQL, PostgreSQL, SQL Server, MongoDB) and stored procedures.
• Experience with Databricks, CI/CD tools, and Git/GitHub; Agile environment.

Responsibilities

• Design, develop, test and maintain data pipelines and ETL for diverse sources (SQL, R, Python).
• AI experience with prompt engineering, ML, agentic AI, and RAG concepts.
• Build and optimize data architectures to support analytics, reporting, and operations.
• Implement and manage CI/CD pipelines for data workflows using Git.
• Develop and deploy cloud-based solutions leveraging Azure Functions, Docker, and Kubernetes.
• Collaborate with DBAs and developers to design data models, stored procedures, and APIs.
• Ensure data quality and integrity through validation, monitoring, and logging.
• Troubleshoot production issues and ensure high availability.
• Document data flows and solutions for knowledge sharing and compliance.
• Stay current with emerging data engineering, cloud, and DevOps practices.

Skills

Data pipelines

ETL processes

SQL

Python

PySpark

CI/CD

Agile

Education

Bachelor's degree

Tools

Git

GitHub

Docker

Kubernetes

Azure Functions

Databricks

Job description

Job Family: Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust

What You Will Do:

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have hands‑on experience with modern data engineering tools, AI solutions, CI/CD, and version control, and will collaborate with cross‑functional teams to deliver high‑quality, scalable data solutions.

• Design, develop, test and maintain data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources (SQL, R, Python).
• AI experience with prompt engineering, machine learning, agentic AI and RAG concepts
• 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 Git.
• Develop and deploy cloud-based solutions leveraging Azure Functions, and containerization (Docker, Kubernetes).
• Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.
• Ensure data quality and integrity through validation, monitoring, and logging.
• Successfully juggle multiple tasks across different priorities.
• 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 and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST".

A bachelor’s degree is required.

FIVE (5) years of experience in data engineering, software development, or related roles.

Experience in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP).

Experience with Co-Pilot and CodeX.

Experience designing and developing data pipelines and ETL processes.

Extensive experience with relational and NoSQL databases, such as MySQL, PostgreSQL, SQL Server, and MongoDB, including stored procedure development.

Experience working with Databricks.

Experience with CI/CD tools and pipelines, such as Gi and, GitHub.

Experience operating in Agile development environments.

What Would Be Nice To Have:

• Experience supporting federal programs and/or large‑scale data modernization projects.
• 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.
• Familiarity with containerization and orchestration technologies.
• 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 $89,000.00-$148,000.00.

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.

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care
• Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
• Position may be eligible for a discretionary variable incentive bonus

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 1-571-633-1711 or via email at [e-mail].

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 [e-mail].

Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.

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.

Guidehouse is a global AI‑led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors. With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets. Built to help clients across industries outwit complexity, the firm brings together approximately 18,000 professionals to achieve lasting impact and shape a meaningful future.