architect/general engineer (interdisciplinary).

ai devops engineer

architect/general engineer (interdisciplinary). Jobs in Washington

construction coordinator / eit Jobs in Washington

construction coordinator / eit

cybersecurity engineer Jobs in Washington

cybersecurity engineer

data engineer

ai engineer

MANTECH

<div><p>MANTECH seeks a motivated, career, and customer-oriented <b>AI Engineer</b> for a new initiative. This effort supports the rapid design, deployment, operation, and sustainment of enterprise-scale AI, data, and mission platform capabilities across a cloud, edge, and classified operational environment.</p><p>
The <b>AI Engineer</b> supports the development and operationalization of advanced AI and agentic AI systems in production mission environments. You will accelerate operational AI adoption through a modern Hub-and-Spoke architecture, supporting mission applications and enterprise AI governance.</p><p></p><p><b>
Responsibilities include but are not limited to:</b></p><ul><li>
Design, develop, and operationalize full-lifecycle AI/ML operations (MLOps/LLMOps).</li><li>
Implement and deploy Retrieval-Augmented Generation (RAG) architectures in production.</li><li>
Build and maintain scalable AI orchestration frameworks and production-ready AI systems.</li><li>
Manage and optimize Kubernetes-based AI deployments, focusing on GPU inference optimization.</li><li>
Conduct core Python development for AI systems and integrate OpenAI-compatible APIs into mission solutions.</li><li>
Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel.</li></ul><p></p><p><b>
Minimum Qualifications:</b></p><ul><li>
Must possess 7 or more years of experience in AI/ML production engineering, development, or related roles. Relevant additional experience will be considered in lieu of degree.</li><li>
Proven proficiency in Python development and experience with AI/ML libraries like TensorFlow or PyTorch.</li><li>
In-depth knowledge of MLOps/LLMOps principles and full machine learning lifecycle management.</li><li>
Experience with Kubernetes-based AI deployments and GPU optimization techniques.</li><li>
Proven experience designing, building, securing or monitoring scalable solutions within the Microsoft Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center).</li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering or a related field.</li><li>
Experience with LangGraph, Semantic Kernel, and agentic AI systems.</li><li>
Familiarity with Ray, NVIDIA GPU ecosystems, or Vector databases.</li><li>
Advanced degree (Master's or PhD) in a technical field.</li></ul><p></p><p><b>
Clearance Requirements:</b></p><ul><li>
TS/SCI with the ability to obtain and maintain a polygraph</li></ul><p></p><p><b>
Physical Requirements:</b></p><ul><li>
The person in this position must be able to remain in a stationary position 50% of the time.</li><li>
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.</li><li>
Constantly operates a computer and other office productivity machinery.</li></ul></div><p></p>

AI Engineer

Spry Methods, Inc

<div><div><div><div><b>Who We&rsquo;re Looking For (Position Overview):</b></div>
The Web Developer Security Engineer protects mission-critical web applications, application programming interfaces (APIs), and sensitive data by embedding security across the software development lifecycle. This role combines application security engineering, secure software development, vulnerability remediation, monitoring, and compliance support.</div></div>
<div><div><h3 class="jobSectionHeader"><b>What Your Day-To-Day Looks Like (Position Responsibilities):</b></h3><div><div><div>
<div>
<div><ul><li><p>Identify, analyze, and remediate critical vulnerabilities, logic flaws, insecure dependencies, and misconfigurations in web applications and APIs.</p>
</li>
</ul></div><div><ul><li><p>Drive the vulnerability lifecycle through threat modeling, security assessments, and technical validation of remediation actions.</p>
</li>
</ul></div><div><ul><li><p>Support secure design patterns, data protection mechanisms, and secure communication protocols across applications and supporting services.</p>
</li>
</ul></div></div><div><div><ul><li><p>Review and analyze web server and application logs to detect anomalies and indicators of compromise.</p>
</li>
</ul></div><div><ul><li><p>Implement automation scripts for threat intelligence integration and application security monitoring.</p>
</li>
</ul></div><div><ul><li><p>Participate in audits, risk assessments, and security authorization activities tied to federal frameworks.</p>
</li>
</ul></div></div></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What You Need to Succeed (Minimum Requirements):</b></h3><div><div><div>
<div>
<ul><li><p>Minimum of three years of experience in web application security, application security engineering, or secure software development lifecycle work.</p>
</li>
</ul></div><div><ul><li><p>Hands-on experience in secure software development, DevSecOps automation, and vulnerability remediation.</p>
</li>
</ul></div><div><ul><li><p>Proven experience with .NET technologies, HTML5, CSS3, JavaScript, representational state transfer (REST) APIs, and structured query language (SQL).</p>
</li>
</ul></div><div><ul><li><p>Ability to leverage AI-assisted development tools and scripting languages to automate monitoring and compliance efforts.</p>
</li>
</ul></div><div><ul><li><p>Strong understanding of the Open Worldwide Application Security Project (OWASP) Top 10, secure coding standards, web application firewalls (WAFs), file integrity monitoring, and security testing tools.</p>
</li>
</ul></div><div><ul><li><p>Ability to perform risk assessments and provide remediation guidance for core systems and dependencies.</p>
</li>
</ul></div><div><ul><li><p>Bachelor's degree or higher in computer science, cybersecurity, information systems, engineering, or a related field.</p>
</li>
</ul></div><div><ul><li><p>Ability to meet federal screening and suitability requirements prior to start.</p>
</li>
</ul></div><div><ul><li><p>Current security certifications maintained for a minimum of five years, spanning application security (such as CSSLP, GWEB, or CASE), offensive security (such as OSWE or OSCP), and foundational security (such as Security+ or GSEC); expired or never-used certifications will not be considered.</p>
</li>
</ul></div></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Ideally, You Also Have (Preferred Qualifications):</b></h3><div><div><div>
<div>
<ul><li><p>In-depth experience with federal cybersecurity frameworks and authorization processes.</p>
</li>
</ul></div><div><ul><li><p>Experience with threat modeling, resilient security architecture, cloud security, and container security.</p>
</li>
</ul></div></div></div></div></div></div><div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Web Developer Security Engineer

<div><div><div><div><b>Who We&rsquo;re Looking For (Position Overview):</b></div>
</div><div>The Cybersecurity Engineer designs, implements, maintains, and improves enterprise security controls across cloud, network, endpoint, and identity environments. This role supports threat detection, incident response, vulnerability management, identity and access management, and security operations aligned to federal security standards and Zero Trust principles.</div></div>
<div><div><h3 class="jobSectionHeader"><b>What Your Day-To-Day Looks Like (Position Responsibilities):</b></h3><div><div><div>
<div>
<ul><li><p>Implement and maintain enterprise security controls aligned to federal security frameworks and Zero Trust architecture.</p>
</li>
</ul></div><div><ul><li><p>Support implementation, operation, and optimization of enterprise security platforms across cloud, on-premises, and hybrid environments.</p>
</li>
</ul></div><div><ul><li><p>Configure and manage identity and access services, including authentication, authorization, role-based access control (RBAC), privileged access management (PAM), and multi-factor authentication (MFA).</p>
</li>
</ul></div><div><ul><li><p>Configure centralized logging, monitoring, and audit capabilities across systems, applications, and cloud platforms.</p>
</li>
</ul></div><div><ul><li><p>Conduct continuous monitoring, vulnerability assessment, risk analysis, and remediation coordination.</p>
</li>
</ul></div><div><ul><li><p>Harden systems, applications, and cloud environments using secure baselines and industry best practices.</p>
</li>
</ul></div><div><ul><li><p>Support incident response activities, forensic collection, root cause analysis, change management, and standard operating procedure (SOP) development.</p>
</li>
</ul></div><div><ul><li><p>Collaborate with network, cloud, and application teams to resolve security issues and improve security posture.</p>
</li>
</ul></div></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What You Need to Succeed (Minimum Requirements):</b></h3><div><div><div>
<div>
<ul><li><p>Five years of experience in cybersecurity engineering or security operations.</p>
</li>
</ul></div><div><ul><li><p>Experience implementing security controls in cloud, network, endpoint, and identity environments.</p>
</li>
</ul></div><div><ul><li><p>Experience with identity and access management (IAM), least privilege, MFA, logging, monitoring, vulnerability management, and security incident response.</p>
</li>
</ul></div><div><ul><li><p>Experience with security baselines, documentation, audit readiness, root cause analysis, and formal change management.</p>
</li>
</ul></div><div><ul><li><p>Ability to meet federal screening and suitability requirements prior to start.</p>
</li>
</ul></div></div></div></div></div></div><div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Cybersecurity Engineer

DataAnnotation

<div>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 We are looking for an existing Buy-Side Analyst to help train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 <br/>
 <br/>
 We're currently expanding into an exciting new area: teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.
 <br/>
 <br/>
 <strong>
  In This Role, You May
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
  </li>
  <li>
   Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work
  </li>
  <li>
   Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up and where it doesn&rsquo;t
  </li>
  <li>
   Share clear, structured feedback to help make each new version of the AI smarter and more reliable
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Advantages Of Contracting With Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You'll be able to choose which projects you want to work on and when
  </li>
  <li>
   You work on your own schedule, on your own computer, from the comfort of your own home
  </li>
  <li>
   Projects are paid hourly starting at $50-$60 USD per hour, with bonus rates available on some projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Give AI chatbots diverse and complex problems and evaluate their outputs
  </li>
  <li>
   Evaluate the quality produced by AI models for correctness and performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English (native or bilingual level)
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises
   <br/>
   <br/>
  </li>
 </ul>
 related to finance management
 <br/>
 <br/>
 <ul>
  <li>
   A current, in progress, or completed Master's and/or PhD is preferred but not required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Note
  <br/>
  <br/>
 </strong>
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contractor position.
 <br/>
 <br/>
 #finance
</div>


Buy-Side Analyst - AI Trainer

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.<div></div><div><br>
Benefits for this role include:<br>
<ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul></div><br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Seattle, WA, USA; Washington D.C., DC, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.<br>
</li>
<li>2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.<br>
</li>
<li>Experience with SQL.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree in a technical discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.).</li>
<li>5 years of relevant work experience in data analysis.</li>
<li>Experience in security threats or abuse detection.</li>
<li>Knowledge or experience in any one of the domains, such as anomaly detection, security threats analysis and investigation, time-series analysis, Cloud APIs, or metrics and reporting.</li>
<li>Understanding of generative AI technologies, Large Language Models (LLMs) and AI agents.</li>
<li>Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Trust &amp; Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what&rsquo;s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.</p>
<p>
The Trust and Safety Cloud AI team is the vanguard of Cloud AI security and safety. Our mission is to safeguard users, protect the integrity of our platforms, and ensure the responsible deployment of AI products at global scale. We operate at the critical intersection of AI research and real-world security, building the foundational defenses that prevent the misuse of generative models and agents. By pioneering proactive threat detection and robust mitigation strategies, we empower Google Cloud to push the boundaries of AI innovation safely, ethically, and securely.</p><p>
At Google we work hard to earn our users&rsquo; trust every day. Trust &amp; Safety is Google&rsquo;s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google&rsquo;s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $132000 - $190000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Monitor Google Cloud AI products for signs of abuse, including prompt injection, jailbreaking, data poisoning, distillation, and generation of policy-violating content.</li>
<li>Perform in-depth analysis of risks associated with both generative and agentic AI. Measure these risks using benchmarking, evaluations, red teaming, and scaled usage monitoring.</li>
<li>Develop, tune, and deploy rules, heuristics, and rate limits to proactively block abusive actors and mitigate automated attacks.</li>
<li>Effectively collaborate with engineering, product, and legal teams to ensure that the risks of AI are understood and robust solutions are adopted.</li>
<li>Educate cross-functional teams about Gen AI safety risks and advocate for secure design principles. Promote a culture of safety and user trust throughout the product development process.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Engineering Analyst, Cloud AI Abuse

Humana

<div><h1 class="jobSectionHeader"><b>Become a part of our caring community</b><br>
</h1>
The Infrastructure Operations Lead translates business needs into technical systems solutions and architectural roadmaps. The Lead Enterprise Architect works on problems of diverse scope and complexity ranging from moderate to substantial.<p></p><p>
The Infrastructure Operations Lead is an expert in 24/7 operations with high performing and scaling systems that meet a high degree of uptime. An expert in all facets of Cloud and DC hosting operations Experience communicating updates and resolutions to customers and other partners with customers and internal stake holders. The ideal candidate will have expert knowledge in Kubernetes (AKS/GKE) and has previous hands-on experience in containerized environments using Automation capabilities.</p><p>
In addition, this Leader will spearhead the research, evaluation and deployment of Artificial Intelligence (AI) and Generative AI (GenAI) capabilities within the Infrastructure Operations domain. This role will blend traditional Infrastructure management with next-generation AI-driven automation, predictive analytics, and intelligent operational enhancements to improve system reliability, efficiency and scalability.</p><p>
By bridging traditional IT Operations with emerging AI technologies, this role will accelerate digital transformation and enhance system reliability. Additionally, it will reduce operational overhead while ensuring compliance with healthcare regulations, such as HIPAA and PHI. This individual will serve as a technical innovator and cross-functional collaborator, driving the roadmap for AI-augmented Infrastructure Operations in a high-impact, patient-centered environment.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li>
Lead and provide direction for our Managed Service Provider (MSP)</li><li>
Lead Managed Service Provider in Operations for Azure, GCP and AWS Cloud environment</li><li>
Drives moderate to complex processing improvements through optimization, enhancements and implementation of new operational features and functions around Cloud compliance, metrics/reporting and cost optimization</li><li>
Provide senior level expertise on decisions and priorities regarding the enterprises overall Cloud Operations strategy, consumption, and optimization opportunities - understand Cost controls and the various cost optimization techniques</li><li>
Identifies, drives and assists in the implementation of opportunities to standardize Cloud environments</li><li>
Provides Coud governance, processes and technical advisory support to business units and projects by working cross-functionally and provides recommendations that support the business needs</li><li>
Participant as required (Level 2/3 escalation point) for Incident Management</li><li>
Participate and develop client relationships within Operations, Business partners, Managed Service Providers and Cloud Providers</li><li>
Work with cross-functional teams to support the engineering and implementation of new Cloud applications or solutions and define the related risks and onboard new capabilities</li><li>
Ability to communicate at all levels within an organization and influence strategic direction</li><li>
Ability to work with minimal supervision, making decisions based upon priorities, schedules and understanding business initiatives</li><li>
This leader will explore and prototype AI-driven solutions to automate incident response, predict system failures, summarize complex telemetry data, and develop intelligent copilots to support Operations teams</li><li>
Lead research and evaluation of cutting-edge AI and GenAI tools applicable to Infrastructure Operations (e.g., LLMs, vector databases, predictive analytics)</li><li>
Design and prototype AI-driven systems for automated incident detection, anomaly classification, infrastructure forecasting/resiliency &ndash; leading to lower MttR and manual overhead in mission-critical environments</li><li>
Develop and lead the strategic roadmap for AI adoption in Infrastructure Operations</li><li>
Collaborate with Infrastructure and Cloud Operations teams to pilot and integrate AI/GenAI features into critical workflows</li><li>
Modernize observability and alerting using AI/ML models for proactive monitoring and self-healing actions</li><li>
Lead R&amp;D of GenAI solutions for predictive alerting, incident triage and infrastructure automation</li><li>
Build AI copilots and natural language tools for infrastructure operations teams</li><li>
Integrate LLMs into observability platforms for real-time RCA and log summarization</li><li>
Pilot and productionize GenAI-based assistants, bots, and copilots to support ticket triage, knowledge management and resolution workflows</li><li>
Identify automation opportunities and implement AI-enhanced runbooks, workflows and self-healing mechanisms</li><li>
Contribute to a strategic roadmap for GenAI maturity within Infrastructure &amp; Operations, including tools, governance and organizational readiness</li><li>
Partner with internal data science and clinical innovation teams to create proofs of concept, build ML/GenAI pipelines, and integrate with existing toolchains (e.g., ServiceNow, Splunk, Terraform)</li><li>
Autonomous log summarization, RCA generation and playbook suggestions</li><li>
Natural language interfaces for querying system health or telemetry</li><li>
Act as a GenAI ambassador, helping Infrastructure Operations teams upskill in AI-augmented technologies and use cases</li></ul><h1 class="jobSectionHeader"><br>
<b>
Use your skills to make an impact</b><br>
<b>
</b></h1><p><b>Required Qualifications</b></p><ul><li>
Bachelor's in Computer Science, Artificial Intelligence, Healthcare Informatics, or a related field</li><li>
10+ years in infrastructure operations or engineering, with at least 3+ years of hands-on involvement in AI/ML or GenAI R&amp;D</li><li>
Deep understanding of large language models (LLMs), vector databases, retrieval-augmented generation (RAG), and model orchestration (e.g., LangChain, Haystack).</li><li>
Experience integrating AI/GenAI capabilities with infrastructure automation tools (Terraform, Ansible, Python, Bash)</li><li>
Familiarity with healthcare systems and compliance frameworks (HIPAA, HITRUST)</li><li>
Proficiency with observability and telemetry platforms (e.g., Splunk, DynaTrace, SolarWinds) and AI-driven monitoring</li><li>
Strong problem-solving and experimentation mindset, with the ability to move from concept to pilot rapidly</li><li>
Experience with Continuous Integration and Deployment Pipelines, i.e. Azure DevOps, Jenkins, Git, Git Hub</li><li>
Has hands on scripting experience using one of the following: Terraform, Cloud Formation, PowerShell, Azure CLI, Python, JSON, Perl or Bash</li></ul><p></p><p><b>
Preferred:</b></p><ul><li>
Master's degree</li><li>
Azure, AWS, GCP, ITIL and/or SRE certifications</li><li>
Experience with GenAI platforms (e.g., Azure OpenAI, Google Vertex AI)</li><li>
Experience deploying or evaluating open-source LLMs or fine-tuning models for infrastructure use cases</li></ul><p></p><p><b>
Additional Information</b></p><p></p><p><b>
Work-At-Home Requirements</b></p><ul><li>
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.</li><li>
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.</li><li>
Satellite and Wireless Internet service is NOT allowed for this role.</li><li>
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information</li></ul><p></p>
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.<p></p><p><b>
Scheduled Weekly Hours</b></p><p></p>
40<p></p><p><b>
Pay Range</b></p>
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.<br>
<p></p>
$142,300 - $195,700 per year<br>
<p></p>
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.<p></p><p><b>
Description of Benefits</b></p>
Humana, Inc. and its affiliated subsidiaries (collectively, &ldquo;Humana&rdquo;) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<p></p><h1 class="jobSectionHeader"><b><br>
About us</b><br>
</h1>
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health &ndash; delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.<p></p><p><br>
<br>
<b>Equal Opportunity Employer</b></p><p></p><p>
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.</p></div>

Infrastructure Operations Lead Cloud and AI GenAI Enablement

Fustis LLC

<div><p><b>Job Title:</b></p>
<b>Senior Big Data Developer</b><p></p>
<p><b>Location:</b></p>
<p><b>Washington, DC - Hybrid - Locals</b></p>
<p><b>Duration:</b></p>
<p><b>12 Months</b></p>
<p><b>Work Authorisation:</b></p>
<p><b>USC, GC, GC-EAD and H4-EAD</b></p>
<p><b>Pay Rate:</b></p>
<p><b>90-100/hr. on C2C</b></p>
<p><b>Mode of Interview:</b></p>
<p><b>Virtual</b></p><br>
<h2 class="jobSectionHeader"><br>
<b>Position Overview</b></h2>
The <b>Data Architecture, Technology, and Analytics (DATA)</b> team within the Federal Reserve Board&rsquo;s Division of Research &amp; Statistics (R&amp;S) is responsible for transforming how enterprise data is ingested, organized, analyzed, and visualized to support economic research and policy decision-making.<p></p>
We are seeking a highly skilled <b>Data Architect / Data Engineer</b> to design, develop, and optimize modern data architectures, enterprise data platforms, and scalable data pipelines. This individual will play a critical role in supporting economists, researchers, analysts, and technical teams by ensuring efficient, reliable, and scalable access to data across the organization.<p></p>
The ideal candidate is a hands-on data professional with deep expertise in data modeling, database architecture, ETL/ELT development, cloud platforms, and enterprise data management. This role requires strong analytical capabilities, excellent communication skills, and a passion for building data solutions that enable advanced research and business intelligence.<p></p>
<b>Key Responsibilities</b><p></p>
Design, develop, and maintain enterprise-scale data architectures and data platforms. Build and optimize scalable ETL/ELT pipelines for ingestion, transformation, and delivery of structured and unstructured data. Develop conceptual, logical, and physical data models aligned with enterprise architecture standards. Architect and manage relational databases, data warehouses, data lakes, and modern data ecosystems. Support migration of data workflows and pipelines between on-premises and cloud environments. Implement workflow orchestration and automation using tools such as Airflow, Prefect, Dagster, or AWS Step Functions. Perform data integration across multiple internal and external data sources. Design and implement Change Data Capture (CDC) solutions for enterprise data warehousing initiatives. Optimize database performance, scalability, reliability, and data processing workloads. Collaborate with economists, researchers, analysts, and technical stakeholders to understand business requirements and deliver effective data solutions. Conduct root cause analysis of data issues and identify opportunities for process improvement and automation. Implement and maintain CI/CD pipelines and DataOps practices for data engineering projects. Support machine learning and advanced analytics initiatives through efficient data infrastructure and model deployment frameworks. Ensure data governance, security, quality, and compliance standards are followed across all solutions. Document architecture designs, technical specifications, and operational procedures. <b>Required Qualifications</b><p></p>
<b>Education</b><p></p>
Bachelor&rsquo;s Degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field. Master&rsquo;s Degree or other advanced degree is preferred. <b>Experience</b><p></p>
Minimum <b>7+ years of experience</b> in Data Engineering, Data Architecture, Database Engineering, or related fields. Proven experience designing and implementing enterprise data platforms and large-scale data solutions. <b>Required Technical Skills</b><p></p>
<b>Data Engineering &amp; Architecture</b><p></p>
Strong expertise in data architecture, data modeling, and enterprise information architecture. Experience designing conceptual, logical, and physical data models. Extensive experience building and maintaining scalable data pipelines and processing frameworks. Experience implementing enterprise data warehouses, data lakes, and modern analytics platforms. Strong understanding of Change Data Capture (CDC) methodologies. <b>Databases</b><p></p>
Advanced SQL expertise. Hands-on experience with: PostgreSQL Microsoft SQL Server MySQL Experience with database administration, optimization, and performance tuning. <b>Programming &amp; Scripting</b><p></p>
Advanced proficiency in: Python R Strong scripting and automation experience. Experience with additional programming languages such as: Java Scala JavaScript Perl <b>ETL/ELT &amp; Workflow Automation</b><p></p>
Experience designing and automating ETL/ELT processes. Hands-on experience with workflow orchestration tools such as: Apache Airflow Prefect Dagster AWS Step Functions <b>Cloud &amp; Modern Data Platforms</b><p></p>
Experience working with: AWS Microsoft Azure Snowflake Experience migrating applications and data pipelines between on-premises and cloud environments. <b>DevOps &amp; DataOps</b><p></p>
Experience implementing and maintaining: CI/CD pipelines DataOps frameworks Experience with Git-based source control platforms: GitHub GitLab <b>Big Data &amp; Analytics</b><p></p>
Experience with: Distributed computing frameworks Large-scale data processing systems High-volume data workloads Experience processing structured and unstructured datasets. <b>Linux &amp; Infrastructure</b><p></p>
Strong development and deployment experience in Linux environments. <b>Preferred Qualifications</b><p></p>
Experience working with economic, financial, or regulatory datasets. Experience supporting research organizations or data-driven policy environments. Understanding of time-series data modeling, forecasting, and statistical analysis techniques. Experience with NoSQL technologies and Graph Databases. Experience developing, deploying, and maintaining Machine Learning models. Knowledge of enterprise data governance and metadata management frameworks. Experience supporting advanced analytics and AI-driven data initiatives. <b>Soft Skills</b><p></p>
Excellent verbal and written communication skills. Strong stakeholder management and customer service mindset. Exceptional analytical and problem-solving abilities. Ability to work independently and manage multiple priorities simultaneously. Strong troubleshooting and root-cause analysis skills. Detail-oriented with a focus on quality and continuous improvement.</div><p></p>

Senior Big Data Developer

Explore 34+ Ai engineer in Washington this June. Find roles across top companies and apply now to boost your career.