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cloud platform engineer

Network Designs

<div>About NDi:
Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration, career growth, and winning ideas. Military Veterans Encouraged to Apply.
Job Description:
We are seeking a Cloud/Platform Engineer to support enterprise cloud and platform initiatives for the VA under T4NG2. This role focuses on building and operating secure, scalable platform services in AWS GovCloud to support cloud-native application delivery within the VA Benefits Integration Platform (BIP) / Platform One ecosystem. 
This position is essential to enabling the VA's transition to modern, cloud-based architectures and improving system reliability, performance, and scalability.
Requirements:<ul><li>
U.S. Citizenship is required</li><li>
Must be able to obtain a Public Trust clearance.</li><li>
This position is primarily remote; however, must be able to come on-site in Washington, DC, as required.</li></ul>
Qualifications and Experience:<ul><li>
Bachelor degree in Computer Science or related</li><li>
Minimum of five (5) years of relevant experience</li><li>
Certifications, such as AWS Solutions Architect, Azure Architect, CKA) are preferred</li><li>
Experience designing and operating AWS cloud environments (GovCloud preferred) 
</li><li>
Strong hands-on experience with Kubernetes (EKS or OpenShift) and container platforms 
</li><li>
Proficiency in Infrastructure as Code (Terraform strongly preferred) 
</li><li>
Experience with GitOps workflows (ArgoCD) and CI/CD tools (GitHub Actions) 
</li><li>
Experience building or supporting platform services for multiple development teams 
</li><li>
Knowledge of cloud networking, IAM, storage, and compute services 
</li><li>
Experience with observability and monitoring tools (Datadog, Splunk, Prometheus, CloudWatch) 
</li><li>
Familiarity with secrets management solutions (Vault, AWS Secrets Manager) 
</li><li>
Understanding of high-availability, scalability, and distributed systems design</li></ul>
Preferred Qualifications:<ul><li>
Experience supporting VA Platform One / BIP or similar federal DevSecOps platforms 
</li><li>
Experience implementing GitOps and declarative infrastructure patterns 
</li><li>
Knowledge of Zero Trust Architecture (ZTA) in federal environments 
</li><li>
Experience with service mesh technologies (Istio, Linkerd) (nice-to-have) 
</li><li>
Familiarity with container hardening standards (DoD STIGs, CIS benchmarks) 
</li><li>
Experience with federal cloud environments (GovCloud, Azure Government) 
</li><li>
Knowledge of Platform One or enterprise platform services 
</li><li>
Experience with hybrid cloud and multi-cloud strategies</li></ul>
Responsibilities
Cloud ArchitecturePlatform Engineering:<ul><li>
Design and implement secure, scalable cloud architectures in AWS GovCloud (preferred) and hybrid environments</li><li>
Build and maintain Kubernetes-based platform services (EKS/OpenShift) to support multi-team workloads</li><li>
Develop and manage shared platform services (networking, ingress, service mesh, CI/CD integration points)</li><li>
Establish golden paths and reusable platform patterns to accelerate developer onboarding and delivery</li></ul>
Infrastructure as CodeAutomation:<ul><li>
Automate infrastructure provisioning using Terraform (preferred) and other IaC tools 
</li><li>
Implement immutable infrastructure and environment standardization practices 
</li><li>
Integrate infrastructure workflows with GitHub Actions and GitOps (ArgoCD)</li></ul>
ContainerApplication Platform:<ul><li>
Deploy and manage containerized workloads using Docker, Kubernetes, and Helm</li><li>
Develop and maintain Helm charts and Kubernetes manifests for standardized deployments</li><li>
Support multi-environment (dev/test/prod) Kubernetes strategies and cluster lifecycle management</li></ul>
Observability, ReliabilityPerformance:<ul><li>
Implement and maintain enterprise observability solutions (Datadog, Splunk, Prometheus, CloudWatch)</li><li>
Define and monitor SLIs/SLOs to ensure system reliability and performance</li><li>
Support high availability, scalability, and disaster recovery strategies</li></ul>
SecurityCompliance Alignment:<ul><li>
Ensure platform services align with VA security policies, Zero Trust principles, and ATO requirements 
</li><li>
Integrate identity, access, and secrets management (e.g., IAM, Vault, AWS Secrets Manager) 
</li><li>
Support continuous compliance and audit readiness in FedRAMP/FISMA High environments</li></ul>
MigrationCollaboration:<ul><li>
Support migration of legacy applications to containerized, cloud-native architectures 
</li><li>
Collaborate with DevSecOps, security, and development teams to enable secure application delivery 
</li><li>
Participate in Agile ceremonies and contribute to continuous platform improvement</li></ul>
Why This Role Matters:
Cloud/Platform Engineers enable the VA's digital transformation by providing the infrastructure foundation for scalable, resilient, and modern IT services supporting millions of Veterans.
Compensation and Benefits:
At NDi, we value our team and are committed to retaining top talent by offering competitive benefits and compensation packages. Our employee benefits package includes comprehensive health, dental, vision, pet, and legal insurance. Our corporate benefits include 401(k) retirement matching, paid leave, paid holidays, and health and wellness programs. In addition, we provide employer-paid life and disability insurance, professional development, education benefits, and much more to ensure our team has the resources they need to thrive on and off the job.
Veterans First Commitment:
As a Service-Disabled Veteran-Owned Small Business (SDVOSB), NDi is dedicated to hiring veterans and providing a supportive work environment that honors their service while recognizing the unique skills and experiences they bring to our organization.
Commitment to Diversity:
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.
Apply Now: Take advantage of this unique opportunity to join one of the fastest-growing companies in Federal contracting!</div>

Cloud/Platform Engineer

Booz Allen Hamilton

<div>AI DevOps Engineer
The Opportunity: 
Imagine using artificial intelligence (AI) to improve critical IT operations for warfighting and intelligence clients. As a DevOps engineer, you know how to create efficient and effective solutions&mdash;so you can quickly deliver the best operational data. Booz Allen is the leading provider of AI services to the nation, and we&rsquo;re looking for a DevOps engineer with knowledge of AIOps, MLOps, ModelOps, and DataOps to develop tools&mdash;and get them into the hands of those on the frontlines who need them most.
On our team, you&rsquo;ll streamline IT operations to enhance platform productivity to improve intelligence utilization and dissemination. You&rsquo;ll automate operational AI workflows, creating, hosting, and updating cloud-based AI models to support mission-critical operations, working at the ground level to deliver solutions that matter. This is your opportunity to deepen your experience in AIOps and help solve our intel client's toughest problems.
Are you ready to transform our nation's intelligence community with AIOps?
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
2+ years of experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments, including with Kubernetes, Docker, or Jenkins</li><li>
2+ years of experience with scripting languages, such as Python or Linux Shell Script</li><li>
Experience with artificial intelligence and machine learning frameworks for monitoring and optimization</li><li>
Experience with containerization and container orchestration platforms and tools</li><li>
Experience adding testing and security scans to pipelines</li><li>
Active TS/SCI clearance; willingness to take a polygraph exam</li><li>
Bachelor's degree</li></ul>
Nice If You Have:<ul><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform</li><li>
Experience with integrating AI systems architecture, AI platforms, or MLflow</li><li>
TS/SCI clearance with a polygraph</li><li>
ML, DevOps, or Solution Architecture Certification</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
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 $62,000.00 to $141,000.00 (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>

AI DevOps Engineer

AppFolio

<div><div><div><div><div><div>Hi, We&rsquo;re AppFolio
We&rsquo;re innovators, changemakers, and collaborators. We&rsquo;re more than just a software company &mdash; we&rsquo;re building the cloud and AI-native platform where the real estate industry comes to do business. We&rsquo;re revolutionizing how property managers operate, how residents live, and how intelligence flows through an entire industry.
We are now building the next generation of our platform with AI at the core.
Realm-X is AppFolio&rsquo;s AI platform powering this transformation:<ul><li>
Assistant: a GenAI copilot embedded across the product experience</li><li>
Flows: an agentic workflow system enabling automation of complex business processes</li><li>
Performers: real-time, multi-modal AI agents operating across voice, text, email, and chat</li></ul>
We are building not only these experiences, but also the platform that enables teams across AppFolio to contribute and extend AI capabilities.
At the foundation are deep agents, built on a real estate ontology and domain primitives (transactions, actions, reports, metrics, and skills), allowing AI systems to understand and operate across the full business context of AppFolio &mdash; powering both employee productivity and end-to-end automation.
Who we are looking for
We&rsquo;re seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio.
This is a high-impact position focused on defining architecture, building next-generation AI systems, and influencing technical direction across teams. You will work at the intersection of machine learning, distributed systems, and product innovation to create AI systems that move beyond assistance into execution.
Responsibilities:<ul><li><div>
Define and drive the technical vision and architecture for AI systems within Realm-X</div></li><li><div>
Design and build deep, context-aware agents leveraging domain ontologies and structured business primitives</div></li><li><div>
Lead the development of agentic workflows (Flows) that combine reasoning, planning, and execution</div></li><li><div>
Architect systems for real-time, multi-modal AI agents (Performers) across communication channels</div></li><li><div>
Build and evolve platform capabilities (tools, memory, evaluation systems, abstractions) to enable broad internal adoption</div></li><li><div>
Translate ambiguous, high-impact problems into scalable, production-ready AI systems</div></li><li><div>
Establish best practices for LLM evaluation, observability, safety, and iteration loops</div></li><li><div>
Collaborate cross-functionally with product, design, and engineering leaders to shape strategy and execution</div></li><li><div>
Mentor engineers and raise the technical bar across the organization</div></li><li><div>
Identify and introduce emerging AI technologies and paradigms that create leverage for the business</div></li></ul>
You know you&rsquo;re the right fit if&hellip;<ul><li><div>
You think in terms of systems and platforms, not just features</div></li><li><div>
You have a track record of building and deploying ML/AI systems in production at scale</div></li><li><div>
You are comfortable operating in high ambiguity and defining direction where none exists</div></li><li><div>
You can lead through influence, aligning multiple teams around a technical vision</div></li><li><div>
You balance long-term architecture with pragmatic delivery</div></li><li><div>
You are motivated by high-impact problems that shape products and business outcomes</div></li></ul>
Additional Skills and Knowledge:<ul><li><div>
Master&rsquo;s or Ph.D. in Computer Science, Machine Learning, or a related technical field (required)</div></li><li><div>
Extensive experience developing and deploying machine learning systems in production environments</div></li><li><div>
Strong software engineering expertise with languages such as Python, Go, Ruby, or JavaScript</div></li><li><div>
Deep understanding of distributed systems, APIs, and cloud infrastructure (AWS or similar)</div></li><li><div>
Experience leading large, cross-functional technical initiatives</div></li><li><div>
Ability to design systems that integrate structured data, models, and real-time decisioning</div></li></ul>
Nice to Have:<ul><li><div>
Experience with LLMs, AI agents, and tool-using systems (e.g., LangChain, LangGraph, OpenAI APIs)</div></li><li><div>
Familiarity with agentic architectures, planning/execution loops, and orchestration frameworks</div></li><li><div>
Experience building domain-specific ontologies, knowledge graphs, or semantic layers evaluation frameworks for AI systems (offline and online)</div></li><li><div>
Background in workflow orchestration systems (e.g., Temporal)</div></li><li><div>
Experience building platforms that enable other engineering teams</div></li><li><div>
Exposure to multi-modal AI systems (voice, chat, email, etc.)</div></li></ul>
Compensation &amp; Benefits
The compensation that we reasonably expect to pay for this role is: 167,200.00 - 209,000.00 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate&rsquo;s skills, education, experience, and internal equity.
Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. 
 
Regular full-time employees are eligible for benefits - see here.</div></div></div></div></div><div><div> 
#LI-KB1</div></div></div>

Sr. Machine Learning Engineer

Proxy Foods AI

<div>
 
 
 Full-Time&nbsp;&middot;&nbsp;Hybrid&nbsp;
 
 
 &middot;&nbsp;&nbsp;based
 
 
 &nbsp;in&nbsp;US&nbsp;or&nbsp;Europe
 
 
 &nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 ABOUT PROXY FOODS
 
 
 &nbsp;
 
 
 
 
 Proxy Foods is an advanced AI-powered product development and recipe formulation platform trusted by leading R&amp;D teams to create, reformulate, and&nbsp;optimize&nbsp;food &amp; beverage products at scale and in record time.&nbsp;
 
 
 
 
 We help food and beverage companies move from idea to&nbsp;viable&nbsp;formulation faster by unifying fragmented R&amp;D data: ingredients, specs, cost, nutrition, processing constraints, and compliance. As a result, teams launch new products with fewer failed trials, reformulate faster based on consumer feedback and margin pressure, and stay ahead on trends and regulatory requirements.&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 THE ROLE
 
 
 &nbsp;
 
 
 
 
 We are looking for a curious, motivated, and detail-oriented Junior Data Engineer to join our team.&nbsp;
 
 
 
 
 This role is ideal for someone with strong foundational SQL and Python skills who wants to grow quickly by working on real-world data challenges in a startup environment. You will support the development of data pipelines, integrations, and data models that power both internal analytics and product features, while learning from a cross-functional team of engineers, product builders, and domain experts.&nbsp;
 
 
 
 
 We are especially interested in someone who is eager to keep learning and stay current with modern data tooling and AI/LLM-enabled workflows, while building strong data engineering fundamentals.&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 In this role, you will:&nbsp;
 
 
 <ul>
 <li>
 
 Support the development and maintenance of ETL/ELT pipelines across APIs, databases, files, and external data sources&nbsp;
 
 </li>
 <li>
 
 Clean, normalize,&nbsp;validate, and structure datasets related to ingredients, specifications, nutrition, costs, and compliance&nbsp;
 
 </li>
 <li>
 
 Write SQL and Python code to transform data and improve data quality&nbsp;
 
 </li>
 <li>
 
 Help&nbsp;maintain&nbsp;data models and storage layers used for analytics, reporting, and product features&nbsp;
 
 </li>
 <li>
 
 Work closely with product, engineering, and food science teams to understand data needs and business context&nbsp;
 
 </li>
 <li>
 
 Monitor pipeline performance, investigate issues, and help improve reliability and observability&nbsp;
 
 </li>
 <li>
 
 Learn and apply AI/LLM-assisted workflows where&nbsp;appropriate for&nbsp;data extraction, normalization, enrichment, and structuring tasks under clear guidance and validation practices&nbsp;
 
 </li>
 <li>
 
 Document data flows, transformations, and operational processes clearly and consistently&nbsp;
 
 </li>
 </ul>
 
 
 &nbsp;
 
 
 
 
 WHAT WE&rsquo;RE LOOKING FOR
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 1&ndash;3 years of experience in data engineering, analytics engineering, software engineering, or a related data-focused role&nbsp;
 
 </li>
 <li>
 
 Good foundation in SQL and Python&nbsp;
 
 </li>
 <li>
 
 Familiarity with data transformation, ETL/ELT concepts, and structured datasets&nbsp;
 
 </li>
 <li>
 
 Exposure to relational databases, APIs, JSON/CSV files, and basic data modeling concepts&nbsp;
 
 </li>
 <li>
 
 Strong attention to detail and a mindset for data quality and correctness&nbsp;
 
 </li>
 <li>
 
 Eagerness to learn new tools, technologies, and ways of working in a fast-moving startup environment&nbsp;
 
 </li>
 <li>
 
 Curiosity about where the data industry is heading, including modern cloud platforms and AI/LLM-enabled workflows&nbsp;
 
 </li>
 <li>
 
 Strong communication&nbsp;skills and willingness to collaborate across technical and non-technical teams&nbsp;
 
 </li>
 </ul>
 
 
 Nice to have:&nbsp;
 
 
 <ul>
 <li>
 
 Exposure to cloud data platforms such as Azure&nbsp;
 
 </li>
 <li>
 
 Familiarity with Git and basic software development workflows&nbsp;
 
 </li>
 <li>
 
 Experience with pandas,&nbsp;SQLAlchemy, or similar Python tools for data work&nbsp;
 
 </li>
 <li>
 
 Basic understanding of BI/reporting tools or dashboarding&nbsp;
 
 </li>
 <li>
 
 Interest in AI, LLMs, or data products beyond traditional reporting&nbsp;
 
 </li>
 </ul>
 
 
 &nbsp;
 
 
 
 
 WHY JOIN PROXY
 
 
 &nbsp;
 
 
 <ul>
 <li>
 
 Work on real product and data problems at the intersection of AI and the food industry&nbsp;
 
 </li>
 <li>
 
 Learn fast in a startup environment with meaningful ownership from day one&nbsp;
 
 </li>
 <li>
 
 Build strong data engineering fundamentals while gaining exposure to modern AI-enabled workflows&nbsp;
 
 </li>
 <li>
 
 Collaborate with a small, ambitious, cross-functional team&nbsp;
 
 </li>
 <li>
 
 Grow your role as the company and platform scale&nbsp;
 
 </li>
 </ul>
 
 
 
</div>

Junior Data Engineer

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
POSITION SUMMARY
At CVS, we're building an Infrastructure Platform to enable teams across CVS Digital to quickly and safely deploy code and operate applications at the scale of a Fortune 10 company! The Infrastructure Platform will be leveraged by hundreds of engineers across Retail, Pharmacy, Health Solutions, and Aetna writing applications that will be used by millions of customers.
The Staff Software Development Engineer is a high visibility, hands on software engineering role that will help lead the implementation of a modern application resource self service provisioning. To be effective in this role, you must have a passion and knowledge for building highly scalable systems while working across a wide net of teams and skillsets.
This is a new team at CVS, and we need a strong technical leader who can work with a high level of freedom and autonomy, advocate for best practices, and can collaborate with engineers, product managers, designers, architects and leadership to build a platform that engineers want to use. This is a unique opportunity to help build a platform from the ground up and set the standard for exceptional code and safe deployments for a large company.
Expectations for this Role<ul><li>
You are a self-starter who can see the big picture and prioritize their work to make the largest impact on the business</li><li>
You are a technologist who can work with other engineers to plan, prioritize and perform assigned tasks within deadlines</li><li>
You can develop technical solutions in collaboration with other engineers across CVS Digital to ensure we're building an infrastructure platform with our customer's needs in mind</li><li>
You will lead the implementation of a self-service platform that enables engineers to deploy code safely, quickly, and easily</li><li>
You will keep an eye out for new and emerging technologies that improve performance, delivery, and the developer experience</li><li>
You actively participate in peer code reviews, providing feedback to your fellow engineers to make them better and to improve the quality of the software we deliver</li><li>
You enjoy automating developer pain away by developing APIs, CLIs, bots, etc</li><li>
You approach all engineering work with a performance lens and make it easy for teams to identify performance bottlenecks</li><li>
You find joy and pride in coaching and mentoring mid to early career software engineers</li><li>
You look for opportunities to share what you've learned with the broader engineering organization</li></ul>
REQUIRED QUALIFICATIONS<ul><li>
7+ years of overall backend development experience on enterprise class applications</li><li>
5+ years partnering with architecture, product, and program management teams to influence product development decisions</li><li>
4+ years of backend technologies, such as Java, Spring Boot, Golang, Kafka, PostgreSQL, and large public cloud technologies i.e. GCP, AWS, etc.</li><li>
Experience with leading teams who follow a Scrum/Agile development methodology</li></ul>
PREFERRED QUALIFICATIONS<ul><li>
Experience with backend APIs</li><li>
Experience with industry cloud providers</li><li>
Experience with Java</li><li>
Experience with Golang</li><li>
Experience automating through scripting and/or CLIs</li><li>
Experience with observability for infrastructure services</li><li>
Experience training and mentoring other engineers</li><li>
Ability to understand the performance of a largely scaled infrastructure platform</li><li>
Ability to identify customer needs and pain points and identify solutions</li><li>
Ability to present the benefits and drawbacks of various architecture designs for infrastructure</li></ul>
EDUCATION
Bachelor&rsquo;s degree or, equivalent experience (HS diploma + 4 years relevant experience)
BUSINESS OVERVIEW
Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand &mdash; with heart at its center &mdash; our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors&trade; support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Pay Range
The typical pay range for this role is:
$106,605.00 - $284,280.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
We anticipate the application window for this opening will close on: 05/15/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Staff Software Development Engineer

DevTech Systems, Inc.

<div>DevTech is a mission-driven firm specializing in innovative, data-driven solutions that help governments, civil society, and the private sector strengthen public financial systems, unlock investment, and make informed decisions in complex environments. We combine advanced analytics, contextual insight, and blended finance strategies to deliver practical, forward-looking solutions worldwide. Guided by our core values of integrity, innovation, evidence-driven impact, resilience, and collaboration, DevTech works transparently and in close partnership with clients and communities to achieve measurable results and lasting impact. 
DevTech is looking for a Data Engineer and Analyst to work as an institutional contractor on its Analytics, Data, Visualization, and Information Services 2.0 (ADVISE 2.0) contract with the United States Department of State. The Data Engineer and Analyst will work with the Office of Global Food Security (GFS) to support Humanitarian Assistance (HA) across the State Department. The Data Engineer and Analyst will support the Humanitarian Data, Assessment, &amp; Coordination unit within GFS&rsquo; Technical Quality &amp; Assurance Division. The Humanitarian Data, Assessment, &amp; Coordination unit strives to create and share decision support products with humanitarian assistance decision makers to improve their understanding of humanitarian needs, internal and external humanitarian data, and to improve the quality and targeting of global humanitarian assistance in crisis settings. 
Overall, we are seeking a data-savvy professional who can bridge engineering and analysis. This hybrid Data Engineer and Data Analyst role involves building and maintaining data systems, exploring and interpreting complex humanitarian datasets, and empowering colleagues to make informed, evidence-based decisions. The ideal candidate combines technical expertise with intellectual curiosity, strong analytical skills, and a passion for using data to support humanitarian outcomes.<div> 
Responsibilities are as follows: 
Data Engineering &amp; Infrastructure (60%) 
<ul><li>Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support humanitarian operational and analytical needs.</li><li>Build and optimize data models, schemas, and cloud-based data architectures to support dashboards, machine learning workflows, and advanced analytics.</li><li>Respond quickly to database problems that arise and carry out periodic maintenance and troubleshooting. Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.</li><li>Integrate heterogeneous humanitarian data sources.</li><li>Implement data quality, validation, and monitoring processes to ensure accuracy, reliability, and transparency.</li><li>Maintain an awareness of trends and developments in database maintenance.</li><li>Maintain documentation, metadata, and data governance standards in alignment with state department policies.</li><li>Occasionally, respond quickly to data needs for responses to rapid onset disasters or urgent decision-making requests.</li></ul></div><div> 
Data Analysis, Insights, &amp; Decision Support (40%) 
<ul><li>Explore and analyze complex humanitarian datasets to identify trends, anomalies, risks, and opportunities.</li><li>Produce actionable insights that inform policy, resource allocation, program design, and crisis response.</li><li>Support predictive analytics or light machine-learning workflows where appropriate.</li><li>Communicate analytical findings clearly to technical and non-technical audiences.</li></ul></div><div> 
Data Leadership, Guidance &amp; Collaboration 
<ul><li>Serve as a subject-matter resource for data best practices, including how to access, interpret, and apply available datasets.</li><li>Work closely with the team business analyst and HA decision makers to understand their data needs and translate them into analytical or technical solutions.</li><li>Provide training, informal guidance, and practical tools to staff who rely on data for decision-making.</li><li>Demonstrate flexibility by taking on adjacent responsibilities as needed in a small, fast moving team environment to ensure project goals are met.</li><li>Engage in continuous learning about the humanitarian sector.</li></ul></div><div> 
General 
<ul><li>As needed, may serve on temporary detail within the bureau to meet operational needs during staff shortages. Duties performed while on detail will be aligned with the Team&rsquo;s existing duties and responsibilities and will be directly related to the scope of work provided.</li><li>In compliance with the Department of State and contractor policies and procedures, consistently model behaviors that demonstrate a commitment to fostering a non-hostile work environment free of discrimination, bias, unfairness, exclusion, offensive behaviors, and harassment of any kind.</li><li>Demonstrate consistent accountability for adherence to and knowledge of laws, executive orders, and Department of State&rsquo;s policies which prohibit Equal Employment Opportunity (EEO) and non-EEO infringements as well as the Agency&rsquo;s zero tolerance for sexual misconduct, including harassment, exploitation, and abuse of any kind. Understand reporting criteria and report up in a timely manner.</li></ul></div><div> 
Requirements 
<ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Master&rsquo;s degree or equivalent experience preferred.</li><li>Hands-on experience in both:</li></ul>
o Data engineering (pipelines, ETL/ELT, SQL, cloud tools) 
o Data analysis (exploratory analysis, dashboarding, basic data science methods) 
<ul><li>Proficiency with SQL and modern programming/scripting languages (Python preferred).</li><li>Familiarity with cloud platforms (e.g. AWS, Databricks) and common data engineering tools.</li><li>Strong analytical thinking, problem-solving skills, and intellectual curiosity.</li><li>Ability to explain complex concepts to diverse stakeholders.</li><li>A team player but able to work independently.</li><li>Multi-tasking and time-management skills, with the ability to prioritize tasks.</li><li>Excellent interpersonal skills.</li><li>Ability to work well in a diverse team.</li><li>The candidate must be a U.S. citizen to qualify for the required U.S. government security clearance for this project.</li></ul></div> 
This position&rsquo;s place of performance is Washington D.C. Remote work has been authorized for this position.</div>

Data Engineer and Analyst

<div>About EAB

At EAB, our mission is to make education smarter and our communities stronger. We work with more than 2,800 institutions to drive transformative change through data-driven insights and best-in-class capabilities. From kindergarten to college to career, EAB partners with leaders and practitioners to accelerate progress and drive results across enrollment, student success, institutional strategy, data analytics, and advancement. We work with each partner differently, tailoring our portfolio of research, technology, and marketing and enrollment solutions to meet the unique needs of every leadership team, as well as the students and employees they serve.

At EAB, we serve not only our partner institutions but each other&mdash;that's why we are always working to make sure our employees love their jobs and are invested in their communities. See how we've been recognized for this dedication to our employees by checking out our recent awards.

For more information, visit our Careers page.

The Role in Brief:

Senior Data Engineer

The Senior Data Engineer, also referred to across the team as the Data Solutions Lead (DSL), is responsible for designing high-impact data and analytics solutions that help higher education institutions unlock the full value of their data within the Edify platform.

This role sits at the intersection of data architecture, partner strategy, and product innovation. The DSL partners closely with Strategic Leaders, Data Engineers, and Product teams to translate complex institutional challenges into scalable, well-architected data solutions that drive measurable outcomes.

Unlike traditional data engineering roles, the DSL&rsquo;s primary day-to-day work does not focus on building pipelines or writing production code. Instead, they lead discovery, shape solution design, guide implementation, and ensure that delivered solutions are aligned to partner goals, technically sound, and positioned for long-term success.

We are seeking a leader who can connect data systems to real-world impact, bringing both technical depth and consultative strength to help institutions modernize their data ecosystems and explore emerging capabilities such as advanced analytics and AI-driven solutions.

This position is ideally based out of EAB's Washington, D.C. or Richmond, VA office, and is open to remote work within the continental U.S. Occasional travel (up to ~12 days annually) may be required for partner engagements and team collaboration.

This position is also posted at the Principal Data Engineer level; candidates are being considered at both levels for the current opening.

Primary Responsibilities:
<ul>
<li>Lead discovery engagements with institutional stakeholders to translate business questions into clear data and analytic requirements</li>
<li>Design end-to-end data solutions, including data models, integrations, transformation logic, and reporting structures that align with Edify platform best practices and long-term partner data strategy</li>
<li>Serve as a trusted technical advisor to partners, guiding them through complex data challenges and opportunities to expand impact through improved data usage, reporting, and analytics</li>
<li>Mentor or manage Data Engineers and collaborate with Technical Project Managers to guide implementation of designed solutions</li>
<li>Identify, investigate, and resolve performance and production issues, proactively recognizing recurring patterns and developing scalable solutions to prevent future occurrences</li>
<li>Contribute to the development of advanced capabilities, including predictive analytics, automation, and AI-driven use cases</li>
<li>Provide structured feedback to Product and Engineering teams to inform platform evolution</li></ul> 


Basic Qualifications:
<ul>
<li>Bachelor's degree in a related field or equivalent professional experience</li>
<li>4+ years of experience in data architecture, analytics consulting, or related roles</li>
<li>Strong proficiency in SQL, experience writing and code-reviewing complex stored procedures, and working knowledge of data transformation and modeling concepts</li>
<li>Experience designing data pipelines, integrations, and warehouse structures</li>
<li>Deep understanding of how data flows across systems and how it is used to drive business decisions</li>
<li>Demonstrated ability to translate ambiguous problems into structured, actionable solutions</li>
<li>Strong communication skills, with the ability to engage both technical and non-technical audiences</li>
<li>Detail-oriented with ability to multitask and adapt to changing priorities</li></ul> 


Ideal Qualifications:
<ul>
<li>Experience working directly with external stakeholders in a consulting or client-facing capacity</li>
<li>Familiarity with cloud data ecosystems (AWS preferred) and modern data stack concepts</li>
<li>Experience guiding data strategy, analytics roadmaps, or system design decisions</li>
<li>Exposure to advanced analytics, predictive modeling, or AI/ML use cases</li>
<li>Ability to recognize patterns across implementations and drive reusable, scalable solutions</li>
<li>Experience in higher education or similarly complex data environments</li>
<li>SPM certifications or demonstrated planning, organizing and time management skills</li>
<li>Commitment to embracing a continual learning environment and contributing to a dynamic and welcoming culture of fairness, authenticity, and belonging in support of EAB&rsquo;s mission, values, and aspiration</li>
</ul>
If you&rsquo;ve reached this section of the job description and are unsure of whether to apply, please do! At EAB, we welcome new perspectives and learn from each other&rsquo;s unique experiences. We would encourage you to submit an application if this is a role you would be passionate about doing every day.

Compensation:

The anticipated starting salary range for this role is $85,500 &ndash; $110,000 per year. Actual salary varies due to factors that may include but not be limited to relevant experience, skills, and location. At EAB, it is not typical for an individual to be hired at or near the top of the starting salary range for their role.

This hire will additionally be eligible for discretionary bonus or incentive compensation. Variable compensation may depend on various factors, including, without limitation, individual and organizational performance.

Benefits:

Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive and inclusive benefits package. Our benefits currently include:
<ul>
<li>Medical, dental, and vision insurance plans; dependents and domestic partners eligible</li>
<li>20+ days of PTO annually, in addition to paid firm and floating holidays</li>
<li>Daytime leave policy for community service and flextime for fitness activities (up to 10 hours per month each)</li>
<li>401(k) retirement savings plan with annual discretionary company matching contribution</li>
<li>Health savings account, healthcare and dependent care flexible spending account, and pre-tax commuter plans</li>
<li>Employee assistance program with counseling services and resources available to all employees and immediate family</li>
<li>Wellness programs including gym discounts, incentives to promote healthy living, and family access to the leading app for sleep, meditation, and relaxation</li>
<li>Fertility treatment coverage and adoption or surrogacy assistance</li>
<li>Paid parental leave with phase back to work program for birthing and non-birthing parents</li>
<li>Access to milk shipping service to support nursing employees during business travel</li>
<li>Discounted pet health insurance coverage for dog and cat family members</li>
<li>Company-provided life, AD&amp;D, and disability insurance</li>
<li>Financial wellness resources and membership in a robust employee discount program</li>
<li>Access to employee resource groups, merit-based advancement, and dynamic professional growth opportunities</li>
</ul>
Benefits kick in day one; learn more at eab.com/careers/benefits.
This opening is not eligible for visa sponsorship at this time; EAB will thus consider candidates who possess U.S. work authorization that does not require employment-based visa sponsorship now or in the future.

At EAB, we believe that to fulfill our mission to &ldquo;make education smarter and our communities stronger&rdquo; we need team members who bring a diversity of perspectives to the table and a workplace where each team member is valued, respected and heard.

To that end, EAB is an Equal Opportunity Employer, and we make employment decisions on the basis of qualifications, merit and business need. We don&rsquo;t discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.</div>

Senior Data Engineer

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