data engineer

Shift4

<div>Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit www.shift4.com. 
As an AWS Cloud Data Engineer, you will use your experience in cloud data engineering and Redshift, AWS Glue, Lambda, and DMS Kinesis technologies first and foremost - being responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization&rsquo;s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.
This role is onsite and can be based at any of the following Shift4 locations: USA: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA 
Canada: Vancouver, BC / Toronto, ON
Hours: Day shift 
Responsibilities
Technology:<ul><li>
Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.</li><li>
Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to</li><li>
Diagnose and resolve issues with deployed systems (as part of level 3 support).</li><li>
Become technically solid for the cloud data platform.</li><li>
Evaluate and resolve technical debt, engage in platform modernization and build reliable features.</li><li>
Recommend and implement best practices and standards for the cloud data platforms.</li></ul>
People and Leadership<ul><li>
Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.</li><li>
Interface across multiple engineering teams and engineering groups working on various parts of the platform.</li><li>
Mentor and develop junior team members.</li></ul>
Process<ul><li>
Ensure efficient operation of Scrum within the team.</li><li>
Analyze and update tools and processes when required.</li><li>
Measure key team metrics.</li></ul>
Qualifications<ul><li>
Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered.</li><li>
3+ years of experience in cloud data engineering.</li><li>
2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.</li><li>
1+ years working with ETL tools (MS SSIS or similar).</li><li>
Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).</li><li>
Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.</li></ul>
Additional experience that is a plus to have:<ul><li>
AWS Certified Data Engineer &ndash; Associate</li><li>
AWS Certified Cloud Practitioner</li><li>
AWS Certified AI Practitioner</li></ul> 
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.</div>

AWS Cloud Data Engineer

Blu Omega LLC

<div><div>Senior Data Engineer 
Atlanta, GA / Hybrid 
Clearance Level and/or eligibility Required 
</div><div>Blu Omega is seeking a Senior Data Engineer to support a federal program focused on data management and transformation. This role operates within a government environment and is responsible for designing and maintaining scalable data pipelines, data architecture, and infrastructure to support analytics and data science initiatives. The position requires extensive experience supporting data ecosystems, with a focus on providing analysis-ready solutions to inform leadership decisions. 
</div><div>Program Overview 
Mission overview: Supporting large-scale data modernization efforts within a government health agency.</div>
<div> 
Key Details 
Location: Atlanta, GA / Hybrid 
Clearance: Public Trust Eligibility 
Work Authorization: U.S. Citizenship or Permanent Residency is required as a precondition of employment. 
Schedule: Standard business hours; onsite 1-2 days per week</div>
<div> 
Responsibilities</div>
<ul><li>Design, implement, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL
</li><li>Build, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks)
</li><li>Develop processes for ingesting, cleaning, validating, and transforming large-scale datasets from APIs, relational sources, and unstructured systems
</li><li>Implement data quality, metadata management, and governance controls to ensure consistency and trust in analytics workflows
</li><li>Collaborate with cloud engineering teams to deploy and manage data solutions on Azure
</li><li>Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices
</li><li>Document data architecture, pipeline logic, and operational procedures to enable team collaboration and maintainability
</li></ul><div>Required Qualifications</div>
<ul><li>8+ years of experience in data engineering, software engineering, or database architecture
</li><li>6+ years of experience in Python and SQL with experience building scalable ETL/ELT pipelines
</li><li>2+ years of experience with cloud data ecosystems like Azure Data Factory
</li><li>1+ years of experience with modern data processing frameworks like Databricks
</li><li>Experience integrating and transforming data from diverse formats and systems (APIs, flat files, relational sources)
</li><li>Knowledge of relational and NoSQL databases, data modeling, and schema design
</li><li>Knowledge of data governance, security, and compliance principles for enterprise data environments
</li></ul><div>Preferred Qualifications</div>
<ul><li>Experience supporting key data engineering efforts in a government environment
</li><li>Experience collaborating with data scientists and analysts to define data models
</li><li>Knowledge of IT infrastructure practices and data access methodologies
</li><li>Knowledge of advanced data security practices, governance policies, and compliance frameworks
</li><li>Azure Data Engineer Associate certification
</li></ul><div>Compensation 
Salary Range: $150,000.00 - $165,000.00 
Final compensation is based on technical skills, experience, education, certifications, and clearance. 
</div><div>Blu Omega Benefits &amp; Perks</div>
<ul><li>Medical, Dental, and Vision coverage through national providers
</li><li>401(k) with company match (eligible after 6 months; vesting applies)
</li><li>Company-paid Life and AD&amp;D insurance with additional voluntary options
</li><li>Short-term disability (company-paid) and long-term disability options
</li><li>Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
</li><li>Telehealth and virtual care options available through medical plans
</li><li>Pet insurance, legal services, and identity theft protection options
</li><li>Paid Time Off (PTO) for eligible employees
</li><li>Paid federal holidays for salaried employees
</li><li>Access to wellness programs, discounts, and lifestyle benefits
</li><li>Benefits eligibility and offerings may vary based on role, employment status, and program requirements.
</li></ul><div>Company Overview 
Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments. 
 
We partner with government agencies and large integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data and analytics, and enterprise IT support. Our teams are experienced operating within federal contracting environments, supporting task orders, recompetes, and programs requiring cleared personnel and compliant delivery. 
 
Equal Opportunity Employer 
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. 

 
#CJ #LI-Hybrid</div></div>

Senior Data Engineer (s)

Womble Bond Dickinson

<div><div><div><div><div><div><div><div>Job Category: Z - Technology
</div></div><div><div>Requisition Number: SOFTW001329</div></div></div><div><div><div><div> 
</div></div></div></div></div> 
</div></div></div><div><div><div><div><div><div>Posting Details</div>
<ul><div><ul><div>Posted: June 30, 2026
</div></ul></div>Full-Time
<div><div><div>Locations</div>
<div>
</div><div>Atlanta, GA 30309, USA 
</div>
</div></div></ul></div><div><div><div><div>Job Details</div>
</div><div>Description
</div><div><div>Womble Bond Dickinson (US) LLP seeks a Software Engineer to join our team. The Software Engineer designs, builds, and operates enterprise applications, data pipelines, and AI systems across the Microsoft stack. The role spans full-stack application development, modern data platform engineering, and AI agent delivery &mdash; working across C#/.NET, Azure data services, and Azure AI Foundry to produce reliable, governed, production-ready solutions aligned to business and legal operations needs. The candidate may work remotely from any one of our Womble locations.

RESPONSIBILITIES:
<ul>
<li>Design, develop, and maintain web applications, APIs, and backend services using C#, .NET, Blazor, React, and TypeScript</li>
<li>Build and extend solutions within the Microsoft Power Platform ecosystem, including Power Apps, Power Automate, and Dataverse</li>
<li>Design and build scalable ETL/data pipelines in a medallion architecture using Azure Data Factory, Microsoft Fabric, Delta Lake, and Dataflow Gen2</li>
<li>Develop and maintain dimensionally modeled data warehouses supporting reporting and analytics across legal, finance, and operational functions</li>
<li>Integrate data from legacy SQL Server environments (SSRS, SSAS) and third-party systems using Azure Data Factory and Boomi</li>
<li>Architect and build AI agents and RAG pipelines using Azure AI Foundry, Microsoft Agent Framework, and Copilot Studio &mdash; including document ingestion, vectorization, grounding, and prompt engineering</li>
<li>Integrate AI capabilities into user workflows via Microsoft Copilot, Teams, and Office add-ins; define agent invocation patterns, context management, and enterprise governance models</li>
<li>Implement observability, telemetry, and exception reporting across applications, data pipelines, and AI systems</li>
<li>Document data models, lineage, transformation logic, ETL workflows, and AI architecture decisions to ensure traceability and maintainability</li>
<li>Participate in sprint planning, architectural discussions, code reviews, and the firm's ongoing platform modernization strategy</li>
<li>Use Git and Azure DevOps for version control, release management, and collaboration</li>
</ul>
REQUIREMENTS:
<ul>
<li>Strong proficiency in C# and .NET for application and backend service development 
Hands-on experience with Blazor, React, and TypeScript for modern web development</li>
<li>5+ years of data engineering experience with Microsoft technologies; SQL Server and T-SQL expertise required</li>
<li>Experience with Microsoft Fabric, Azure SQL, Delta Lake, and Dataflow Gen2 Proficiency with ETL tools including Azure Data Factory, Synapse, and Boomi for third-party integration</li>
<li>Proven experience building or operating AI-enabled systems in production, including RAG pipelines and agent frameworks</li>
<li>Practical understanding of ML and generative AI concepts, including model limitations, responsible AI principles, and governance</li>
<li>Familiarity with medallion architecture, dimensional modeling, and enterprise data warehouse design</li>
<li>Understanding of data governance, security, and compliance in a legal context</li>
<li>Experience with low-code/no-code platforms including Microsoft Power Platform 
Proficiency with Git and Azure DevOps</li>
<li>Ability to explain technical decisions, AI behavior, and data architecture to non-technical stakeholders</li>
<li>Bachelor's degree in Computer Science or equivalent experience</li>
</ul>
Compensation: The national average salary range for this role is $72,000 - $121,000. Starting salary will be determined based on location, qualifications, and experience.&rdquo;

Candidates are not required to submit age-related information and may redact any personally identifiable information on their application materials including but are not limited to age, date of birth, and dates of attendance and date of graduation for educational institutions. This position does not have a fixed deadline. The posting will remain open until the position is filled and all necessary due diligence has been completed for the selected candidate.

This position is subject to export control laws. 

BENEFITS:

Medical Insurance, Dental Insurance, Vision Insurance, Health Savings Account, Flexible Spending Accounts, Life insurance, Disability Insurance, Paid Parental Leave, 401(k) Plan, Paid Days Off/Vacation, Firm Paid Holidays</div>
</div></div><div><div>Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.</div></div></div></div></div></div></div></div>

Software Engineer

Cognizant

Azure Databricks Administrator
 Location: United States (Remote) About Cognizant
 Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes, and transform experiences so they can stay ahead in a rapidly changing world. Together, we deliver digital solutions that drive measurable business outcomes across industries.
 At Cognizant, you'll work with industry-leading professionals, cutting-edge technologies, and some of the world's most recognized organizations while advancing your career in a collaborative and inclusive environment. Azure Databricks Administrator
 Cognizant is seeking a highly skilled Azure Databricks Administrator to join our growing Cloud, Data & AI practice. This role is responsible for the administration, governance, security, optimization, and operational support of enterprise-scale Azure Databricks environments.
 The ideal candidate will possess deep expertise in Azure Databricks, Unity Catalog, Azure networking, security, data governance, and platform operations. This individual will serve as a technical leader and trusted advisor, partnering with engineering, infrastructure, security, and operations teams to ensure a scalable, secure, and high-performing data platform. Work Model
 Remote - United States Responsibilities Azure Databricks Administration & Optimization
 Design, deploy, and administer Azure Databricks workspaces utilizing VNet injection, private endpoints, and secure cluster connectivity.
 Configure and maintain cluster policies, Databricks Runtime versions, autoscaling, and workload management standards.
 Optimize platform performance through cluster tuning, Spark configuration management, and Delta Lake best practices.
 Perform capacity planning and resource forecasting to support enterprise growth.
 Drive cost optimization initiatives including right-sizing, auto-termination policies, reserved instances, and spot instance utilization.
 Troubleshoot and resolve complex platform, cluster, job execution, and connectivity issues. Data Governance & Unity Catalog
 Design, implement, and administer Unity Catalog metastores, catalogs, schemas, external locations, and volumes.
 Establish and enforce fine-grained access controls across enterprise data assets.
 Support data lineage tracking, auditing, and governance requirements.
 Govern managed and external data assets while promoting best practices for data management. Security & Identity Management
 Integrate Azure Databricks with Microsoft Entra ID for authentication and Single Sign-On (SSO).
 Configure and manage SCIM provisioning for automated user and group lifecycle management.
 Implement secure secret management using Azure Key Vault-backed secret scopes.
 Define and manage access controls across Unity Catalog, Databricks workspaces, and Azure Data Lake Storage Gen2.
 Support security audits, compliance reviews, and governance initiatives. Networking & Connectivity
 Architect and maintain secure networking solutions utilizing VNets, NSGs, private endpoints, and firewall controls.
 Ensure secure connectivity between Databricks, Azure services, and on-premises environments.
 Manage DNS resolution, routing configurations, and network security best practices. Data Integration & Automation
 Design and implement Azure Data Factory (ADF) integration patterns with Azure Databricks.
 Support orchestration of enterprise data pipelines and notebook execution workflows.
 Partner with DevOps teams to establish and maintain CI/CD pipelines.
 Utilize Databricks REST APIs and automation frameworks to streamline platform administration. Storage Management
 Provide guidance on Azure Data Lake Storage Gen2 architecture and configuration.
 Implement secure access patterns using service principals, credential passthrough, and Microsoft Entra ID integration.
 Troubleshoot storage connectivity and access management issues. Operations & Platform Reliability
 Implement monitoring and alerting using Azure Monitor, Log Analytics, and Databricks native monitoring tools.
 Monitor service availability, platform health, resource utilization, and job performance.
 Support disaster recovery, business continuity, and resiliency planning efforts.
 Plan and coordinate Databricks Runtime upgrades and platform maintenance activities.
 Communicate service impacts and operational risks to stakeholders. Documentation & Enablement
 Develop and maintain architecture documentation, diagrams, standards, and operational runbooks.
 Establish best practices for platform governance, security, cost optimization, and performance management.
 Provide technical guidance, training, and knowledge transfer to internal teams. Stakeholder Engagement
 Collaborate with data engineering, data science, infrastructure, networking, security, and operations teams.
 Act as the subject matter expert for Databricks platform administration and governance.
 Participate in architecture reviews and provide technical leadership for strategic initiatives. Required Qualifications
 Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent work experience.
 5+ years of experience supporting cloud-based data and analytics platforms.
 Hands-on experience administering Azure Databricks in enterprise environments.
 
Strong experience with: 
Azure Databricks
 Azure Data Factory (ADF)
 Azure Data Lake Storage Gen2 (ADLS Gen2)
 Microsoft Entra ID
 Azure Key Vault
 Azure Networking (VNets, NSGs, Private Endpoints)
 Azure Monitor and Log Analytics
 Experience implementing and managing Unity Catalog.
 Strong understanding of cloud security, RBAC, IAM, encryption, and governance principles.
 Experience with SCIM-based identity provisioning.
 Proficiency in Python, SQL, PowerShell, and Azure CLI.
 Experience supporting CI/CD initiatives using Azure DevOps, GitHub Actions, or similar platforms.
 Excellent analytical, troubleshooting, and problem-solving skills.
 Strong verbal and written communication skills. Preferred Qualifications
 Experience supporting large-scale enterprise Data & AI platforms.
 Knowledge of Spark architecture, Delta Lake optimization, and Databricks APIs.
 Experience with Infrastructure as Code (IaC) tools and cloud automation frameworks.
 Experience working within regulated or highly governed environments.
 Microsoft Certified: Azure Solutions Architect Expert.
 Databricks Certified Data Engineer Associate or Professional certification. Salary and Other Compensation
 Applications will be accepted until 08/30/2026 .
 The annual salary for this position is between $110,000 and $160,000 , depending on experience, qualifications, geographic location, and other factors permitted by law.
 This position is also eligible for Cognizant's discretionary annual incentive compensation program, based on performance and subject to the terms of the applicable plan. Benefits
 Cognizant offers a comprehensive benefits package that includes:
 Medical, Dental, Vision, and Life Insurance
 Short-Term and Long-Term Disability Coverage
 401(k) Plan with Company Contributions
 Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
 Paid Time Off (PTO), Company Holidays, and Sick Leave
 Paid Parental Leave
 Employee Assistance Program (EAP)
 Professional Development and Certification Opportunities
 Employee Wellness and Recognition Programs
 Benefits are subject to eligibility requirements and may vary by location and employment status. Why Choose Cognizant?
 Opportunity to work with leading cloud, data, and AI technologies.
 Exposure to enterprise-scale digital transformation initiatives.
 Continuous learning and professional growth opportunities.
 Collaborative, diverse, and inclusive culture.
 Flexible remote work environment. Equal Opportunity Employer
 Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.
 If you require a reasonable accommodation to search for a job opening or submit an application, please contact Cognizant's recruiting team for assistance.

Azure Databricks Admin

NAVA TECH LLC

Launch Your Career in Data Science. Are you passionate about data, analytics, and artificial intelligence but haven't yet had the opportunity to work as a Data Scientist? We are looking for ambitious technical professionals with a strong foundation in programming, problem-solving, and analytical thinking who are ready to transition into a Data Science career. Whether your background is in Software Development, Data Analytics, AI Engineering, Quality Assurance, Business Intelligence, or another technical field, this opportunity is designed to help you develop the skills and real-world experience needed to become a successful Data Scientist. Join our growing consulting practice and gain hands-on experience working on enterprise-level projects for Fortune 1000 organizations across industries such as Finance, Healthcare, Retail, Telecommunications, and Technology.About the RoleThis role is ideal for candidates who:<ul><li>Have a strong technical foundation</li><li>Know how to write code and solve problems</li><li>Have experience working in IT, software development, analytics, or related fields</li><li>Want to transition into Data Science</li><li>Are eager to learn Machine Learning, Artificial Intelligence, Big Data, and Cloud Technologies</li><li>Are you looking for a long-term career path with significant growth potential</li></ul>ResponsibilitiesThrough hands-on project experience and mentorship, you'll gain exposure to:<ul><li>Data Science Methodologies</li><li>Machine Learning</li><li>Predictive Analytics</li><li>Generative AI</li><li>Data Engineering Concepts</li><li>Cloud Platforms (AWS &amp; Azure)</li><li>Big Data Technologies</li><li>Enterprise Data Solutions</li><li>Advanced SQL and Python Development</li></ul>QualificationsMinimum Qualifications<ul><li>Master&rsquo;s degree in computer science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related quantitative field</li><li>OR bachelor&rsquo;s degree with at least 2 years of professional technical experience</li></ul>Required Skills<ul><li>Experience coding in Python</li><li>Strong SQL skills</li><li>Understanding of object-oriented programming concepts</li><li>Strong analytical and problem-solving abilities</li><li>Excellent communication skills</li><li>Ability to learn new technologies quickly</li></ul>Preferred Skills<ul><li>Experience with any of the following is a plus:</li><li>Data Analytics</li><li>Software Development</li><li>AI Engineering</li><li>Machine Learning</li><li>AWS</li><li>Azure</li><li>Databricks</li><li>PySpark</li><li>GitLab</li><li>Data Warehousing</li><li>Cloud Technologies</li><li>Statistical Analysis</li></ul>Pay: $35.00 - $42.00 per hourBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Health insurance</li><li>Relocation assistance</li></ul>Work Location: In person

Jr Data Scientist

The Home Depot

Position Purpose: The Sr. Product Engineer is a business partner to merchandising team managing and supporting private brands engineering projects. The engineer will partner with internal teams to complete benchmarking, product requirement development, and resolution of product performance concerns for assigned product categories. The engineer will also utilize Bill of Materials as well as internal tools and data to understand raw material, manufacturing, labor, logistics, business and all total cost involved in manufacturing and shipping product. The engineer is responsible for conducting engineering evaluations to determine component and complete product assembly costs for Home Depot Products. Having good business acumen and financial knowledge of key terms will aid the engineer in relating the information to the Merchant community in a constructive and collaborative manner. The engineer works in a team environment as an individual contributor. Key Responsibilities: 50% Engineering project management including benchmarking, product requirement development, and test protocol development 30% Conduct financial and value based calculations, summarize the findings for the business in presentation quality format and communicate findings to key stakeholders 10% Complete resolution of product performance concerns 10% Provide general product Engineering guidance and knowledge or evaluations as required to deliver short term business goals Direct Manager/Direct Reports: Position Reports to Engineering Manager Position has no direct reports. Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most all of the time is spent sitting in the same position or standing/walking or there is some requirement to lift or handle material or equipment of moderate weight (8-20 pounds). Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Mechanical or Electrical Engineering or equivalent in a field of study related to the job Masters of Business Administration Product costing experience Extensive understanding of Bills of Materials Knowledge of Merchandising Financial terms Knowledge of INCO shipping terms Experience working in a manufacturing and/or product development environment including design for reduced Manufacturing and Assembly costs Experience working with OEM suppliers through the product development cycle Experience working with vertically integrated manufacturers Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 5 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Excellent communication skills Ability to work in cross-functional team environment Business acumen and understanding of Merchandising Ability to use standard hand tools and lab equipment such as technical measuring equipment, power tools and pneumatic tools. Proficient with Microsoft Excel and PowerPoint Ability to use costing software such as Boothroyd Dewhurst DFM/DFMA Demonstrated manufacturing knowledge in areas such as plastics, metals, glass, wood, textiles and Printed Circuit boards

Sr. Product Engineer

Booz Allen Hamilton

<div>AL/ML Engineer, Lead
The Opportunity:
As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support public health and safety. As an ML engineer on our team, you&rsquo;ll train, test, deploy, and maintain models that learn from data.
In this role, you&rsquo;ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You&rsquo;ll be part of a large community of ML engineers across the company and collaborate with data engineers, data scientists, solutions architects, enterprise architects, and product owners to deliver world-class solutions. You&rsquo;ll help design and develop enterprise ML operations frameworks, support mentorship and training initiatives, process data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and systems.
Your advanced skills and technical expertise will guide clients as they navigate the evolving landscape of ML, Generative AI, AI agents, and retrieval-augmented generation (RAG) technologies. This position is located in Atlanta, GA.
What You'll Work On:<ul><li>
Build and maintain complex data pipelines using PySpark and Palantir Foundry to support AI and analytical workloads.</li><li>
Design and implement ML workflows, including Generative AI, AI agents, MCP-enabled systems, and RAG pipelines for public health use cases.</li><li>
Develop robust AI evaluation strategies to ensure the quality, reliability, and performance of deployed AI solutions.</li><li>
Design AI architectures supporting agent memory, state management, retrieval optimization, and interaction with structured and unstructured public health data.</li><li>
Collaborate with cross-functional teams to translate mission requirements into scalable AI/ML solutions while maintaining technical documentation and governance standards.</li><li>
Define and enforce data quality, privacy, anonymization, auditing, and ethical AI standards in compliance with public health and government requirements.</li></ul>
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
5+ years of experience designing, developing, and deploying ML models and AI solutions using Python</li><li>
5+ years of experience with Generative AI, LLMs, AI agents, or RAG applications in enterprise environments</li><li>
Experience developing AI evaluation strategies and working with MCP-enabled systems</li><li>
Experience with ML frameworks and libraries such as TensorFlow or PyTorch</li><li>
Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li><li>
Experience with Prompt Buddy, Codex, Claude, or OpenEvidence in enterprise environments</li><li>
Experience deploying ML solutions at scale using MLOps tools such as MLflow, and cloud platforms such as Azure, Databricks, or Domino</li><li>
Ability to implement AI agent architectures, retrieval optimization, and memory or state management workflows</li><li>
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements</li><li>
Bachelor's degree in CS, Engineering, or Data Science</li></ul>
Nice If You Have:<ul><li>
Experience with open-source LLMs such as LLaMA, Gemma, or Phi</li><li>
Experience in deep learning, NLP, conversational AI, or computer vision</li><li>
Experience supporting healthcare, biomedical, or public health AI/ML initiatives and government public health data systems</li><li>
Experience with chatbot development or end-to-end AI application deployment</li><li>
Experience with containerization, orchestration, CI/CD, and full-stack ML application deployment</li><li>
Experience working in Agile environments using tools such as Jira</li><li>
Experience writing technical documentation and presenting technical solutions to broad audiences</li><li>
Ability to collaborate effectively in matrixed environments with cross-functional stakeholders</li><li>
Master&rsquo;s degree</li></ul>
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

AL/ML Engineer, Lead

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