ml 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

<div>The Opportunity:
As an experience d engineer, you know that machine learning ( ML ) and AI evaluation are critical to understanding and operationalizing massive datasets in support of public health and safety missions. Your ability to evaluate, optimize, and deploy AI-driven systems makes you an integral part of delivering mission-focused solutions for scientists, analysts, and leadership teams.
In this role, you&rsquo;ll help define and implement scientific AI evaluation and enablement initiatives by translating advanced AI capabilities into practical, mission-specific workflows. You&rsquo;ll collaborate with a large community of ML engineers, data scientists, architects, and product teams to design scalable ML and Generative AI solutions, including AI agents, retrieval-augmented generation ( RAG ) pipelines, and enterprise AI evaluation frameworks.
You&rsquo;ll apply technical expertise across AI evaluation, retrieval optimization, memory and state management, and AI agent architecture to support real-time insights and decision-making. Your work will also contribute to enterprise MLOps capabilities, data governance standards, and ethical AI practices within regulated public health environments. This position is located in Atlanta, GA.
What You'll Work On:
<ul><li>Build and maintain scalable data pipelines using PySpark and Palantir Foundry to support AI, analytics, and scientific evaluation workflows.</li>
<li>Design and implement ML and Generative AI workflows, including AI agents, RAG pipelines, and AI evaluation frameworks.</li>
<li>Integrate advanced AI technologies such as Codex and Claude, to support mission-specific workflows, real-time insights, and decision-making capabilities.</li>
<li>Develop evaluation strategies covering model quality, retrieval optimization, benchmarking, and performance monitoring for deployed AI systems.</li>
<li>Design AI architectures supporting memory, state management, structured and unstructured public health data interaction, and scalable agent orchestration.</li>
<li>Establish data governance, privacy, anonymization, documentation, and ethical AI standards across AI / ML systems and public health data environments.</li>
</ul>Join us. The world can&rsquo;t wait.
You Have:
<ul><li>5+ years of experience with Generative AI, LLMs, AI agents, or RAG applications, and designing, developing, and deploying ML models and AI solutions using Python</li>
<li>3+ years of experience with AI agents and AI evaluation strategies in enterprise environments</li>
<li>2+ years of experience with Deep Research evaluation met hodologies and AI evaluation workflows</li>
<li>Experience with ML frameworks such as TensorFlow or PyTorch, for production-grade model development</li>
<li>Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li>
<li>Experience with MLOps platforms such as MLflow and cloud environments, including Azure</li>
<li>Knowledge of public health, healthcare, or government data systems and asso cia ted governance practices</li>
<li>Ability to design and optimize AI systems involving retrieval workflows, memory or state management, and real-time decision-support capabilities</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 working in healthcare, biomedical, or government public health AI / ML environments</li>
<li>Experience with conversational AI, chatbot systems, or full-stack AI application development</li>
<li>Experience with containerization, CI / CD, orchestration, and production MLOps pipelines</li>
<li>Experience with Agile delivery environments and tools such as Jira</li>
<li>Experience writing technical documentation and presenting AI / ML solutions to various audiences</li>
<li>Experience integrating enterprise AI tools such as Codex, Claude, or similar AI enablement platforms</li>
<li>Knowledge of enterprise AI governance, compliance, and ethical AI frameworks</li>
<li>Knowledge of AI systems for retrieval, ranking, and scientific evaluation use cases</li>
<li>Ability to collaborate effectively in matrixed, cross-functional organizations</li>
<li>Master's degree in CS, Data Science, ML, or a related field</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 Evaluation Engineer

<div>AL/ML Technical Lead
The Opportunity:
As an AI/ML Technical Lead, you will define and drive the technical direction of mission-critical AI systems supporting Public Health and Safety. You will lead the design and implementation of scalable machine learning and generative AI solutions, including AI agents, retrieval-augmented generation (RAG) systems, and evaluation frameworks that ensure reliability, safety, and mission alignment.
You will serve as a technical authority across a community of engineers, partnering with data engineers, architects, product owners, and stakeholders to shape enterprise AI strategy, architecture standards, and delivery practices. Your work will span end-to-end AI system design&mdash;from data pipelines and modeling to agent orchestration, memory or state management, retrieval optimization, and production deployment.
In this role, you will also lead the development of AI evaluation strategies, prompt engineering workflows, and governance frameworks using tools such as MCP, Prompt Buddy, Codex, Claude, and OpenEvidence. You will ensure systems are performant, explainable, secure, and compliant with public health data privacy and ethical standards. This position is located in Atlanta, GA.
What You'll Work On:<ul><li>
Lead the design and development of scalable AI/ML systems using PySpark and Palantir Foundry for public health mission applications.</li><li>
Architect generative AI solutions, including AI agents, MCP-enabled workflows, Prompt Buddy integrations, and RAG pipelines.</li><li>
Define AI evaluation frameworks covering performance benchmarking, retrieval optimization, safety validation, and production monitoring.</li><li>
Design and implement agent architectures with memory, state management, orchestration, and structured or unstructured data interaction.</li><li>
Integrate advanced AI tools such as Codex, Claude, and OpenEvidence into enterprise AI workflows and platforms.</li><li>
Establish data governance, privacy, anonymization, documentation, and ethical AI standards across AI/ML systems.</li></ul>
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
5+ years of experience designing, developing, and deploying machine learning and AI solutions using Python</li><li>
5+ years of experience with Generative AI, LLMs, AI agents, or RAG systems in enterprise environments</li><li>
3+ years of experience with AI agents, MCP frameworks, or AI evaluation strategy development</li><li>
Experience with ML frameworks such as TensorFlow or PyTorch for production model development</li><li>
Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li><li>
Experience with MLOps platforms such as MLflow and cloud environments such as Azure or Databricks</li><li>
Experience integrating or working with AI tooling such as Codex, Claude, Prompt Buddy, or OpenEvidence in enterprise settings</li><li>
Knowledge of public health, healthcare, or government data systems and associated governance practices</li><li>
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements</li><li>
Bachelor's degree in Computer Science, Engineering, or Data Science</li></ul>
Nice If You Have:<ul><li>
Experience working in healthcare, biomedical, or government public health AI/ML environments</li><li>
Experience with open-source LLMs such as LLaMA, Gemma, or Phi</li><li>
Experience with conversational AI, chatbot systems, or full-stack AI application development</li><li>
Experience with containerization, CI/CD, orchestration, and production MLOps pipelines</li><li>
Experience with Agile delivery environments and tools such as JIRA</li><li>
Experience writing technical documentation and presenting AI/ML architecture decisions to a broad range of audiences</li><li>
Knowledge of enterprise AI governance, compliance, and ethical AI frameworks</li><li>
Knowledge of AI systems for retrieval, ranking, and decision-support in high-stakes environments</li><li>
Ability to collaborate effectively in matrixed, cross-functional organization and design and deploy scalable AI systems involving retrieval optimization, memory or state management, and agent orchestration</li><li>
Master's degree in Computer Science, Data Science, AI/ML, or a related field</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 Technical Lead

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

Datavault AI

<div>Full Stack Developer
Location: Atlanta, GA, Hybrid 
 Employment Type: Full-Time
About Us: Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems), operates across a diverse portfolio of technology and service divisions.
Datavault AI Inc. delivers high-performance computing software, Web 3.0 data-management solutions, and advanced audio technologies to a broad range of industries.
Event Citadel (formerly CompuSystems), founded in 1976, is a trusted provider of end-to-end event technology solutions, offering registration, ticketing, lead retrieval, and attendee-engagement services for events of all sizes across trade, association, corporate, and government markets.
The Role: We're looking for a skilled full-stack developer to join our DataVault Platform team. You'll help develop, maintain, and advance our core Web 3.0 data-management platform, a multi-service system spanning a Next.js frontend, a Go REST API, and a Python AI governance service backed by PostgreSQL, Redis, and AWS S3. This is a hands-on role where you'll have real ownership over the direction of our products..
Key Responsibilities:<div><ul><li>
Build and maintain high-quality, scalable SaaS features across our Next.js (App Router, React, TypeScript, Tailwind, shadcn/ui) frontend and Go (Chi, PostgreSQL, Redis) backend.</li><li>
Design and ship REST APIs in Go, including database schema migrations, caching strategies, and integrations with third-party services (payments, KYC, blockchain, AI).</li><li>
Develop feature modules in Portal-v2 using TanStack Query, Zustand, Zod, and React Hook Form, with Vitest and Playwright test coverage.</li><li>
Work collaboratively with designers, engineers, and product to architect medium-to-large features from concept to delivery to live support.</li><li>
Troubleshoot and resolve complex issues across the full stack &mdash; frontend, API, database, and infrastructure.</li><li>
Contribute to platform concerns: authentication, permissions (Container &gt; Workspace &gt; Item hierarchy), observability (OpenTelemetry), and CI/CD (Bitbucket Pipelines, SSM deploys to EC2).</li><li>
Stay current with emerging technologies and development best practices</li></ul></div>
Qualifications:<div><ul><li>
Experience building production Next.js or React applications with TypeScript.</li><li>
Proficiency with Go, including idiomatic HTTP services (Chi, Gin, or similar) and concurrency patterns.</li><li>
Strong understanding of SQL databases (PostgreSQL experience preferred), including schema design, migrations, and query optimization.</li><li>
Experience with modern frontend tooling: Tailwind CSS, component libraries (shadcn/ui, Radix), state management (Zustand, Redux, or equivalent), and server-state libraries (TanStack Query, SWR).</li><li>
Familiarity with Redis, AWS S3, and REST API design.</li><li>
Solid grasp of software development practices including agile methodologies, version control (Git, worktrees), and testing (Vitest, Playwright, Go testing).</li><li>
Bonus: experience with blockchain/Web3 (EVM, ERC-721/ERC-20), payments (ACH, Finxact, PayPal), KYC providers, or AI/ML integrations.</li><li>
Comfort working in multidisciplinary teams with people of diverse perspectives.</li><li>
Strong problem-solving skills and attention to detail</li></ul></div>
What We Offer:<ul><li>
Competitive salary and benefits package.</li><li>
A fast-paced, high-impact work environment.</li><li>
Opportunity to work closely with executive leadership.</li><li>
The chance to work with cutting-edge technologies and make a significant impact.</li><li>
A culture of innovation, ownership, and growth.</li></ul></div>

Full Stack Developer

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)

Reliable Forklift Sales

Job Overview Reliable Forklift Sales is a leading distributor of machinery and equipment, specialising in the sales, rentals, and service of forklifts and other material handling products. With a strong presence across North America, we are renowned for our commitment to excellent customer support and our comprehensive equipment offerings. We are currently seeking a talented and self-motivated Remote Software Engineer to join our team on a full-time basis. The successful candidate will play a crucial role in designing, developing, and maintaining the software solutions that drive our business forward, helping us to continue providing exceptional service to our diverse industrial clients. Responsibilities * Design, develop, and maintain robust and scalable software applications that support our core business operations. * Collaborate with cross-functional teams, including sales and operations, to analyse requirements and translate business needs into technical solutions. * Write clean, efficient, and well-documented code that adheres to industry best practices. * Troubleshoot, debug, and upgrade existing systems to ensure optimal performance and reliability. * Participate fully in the entire software development lifecycle, from initial concept and design through to deployment and support. * Develop and maintain technical documentation to ensure systems are well-understood and maintainable. * Stay current with emerging technologies and propose new solutions to enhance our software portfolio. Qualifications * Proven experience working as a Software Engineer in a professional environment. * Strong proficiency in modern programming languages such as Python, Java, C#, or JavaScript. * Solid experience with relational and non-relational database technologies. * A comprehensive understanding of software development principles, design patterns, and best practices. * Excellent analytical and problem-solving skills with a high degree of attention to detail. * The ability to work independently and manage time effectively in a remote setting. * Strong verbal and written communication skills, with an ability to articulate complex technical concepts clearly. * A Bachelor's degree in Computer Science, Engineering, or a related field is desirable. * Experience with cloud platforms (e.g., AWS, Azure) is considered an advantage. Benefits * A competitive hourly wage of $30 - $65 USD, commensurate with experience. * A fully remote position, offering flexibility and an excellent work-life balance. * The opportunity to work on meaningful projects that have a direct impact on the company's success. * A supportive and collaborative team environment that encourages continuous learning and professional development.

Remote Software Engineer

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