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automation engineer l4

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: AUTOMATION ENGINEER L4
</div></div></div></div><div><div><div><div>City: Washington
</div></div></div></div><div><div><div><div>State/Province: District of Columbia
</div></div></div></div><div><div><div><div>Posting Start Date: 5/8/26
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>QA testing with Playwright
 </b></h2></div><div><div>Hands-on experience in functional and automation testing.
<br>
<ul><li>Proficiency in Playwright for web application testing (JavaScript/TypeScript or Python).
</li><li>Strong understanding of modern automation testing frameworks and best practices.
</li><li>Experience integrating automated tests into a CI/CD pipeline (e.g., Azure DevOps, Jenkins, GitHub Actions).
</li><li>Familiarity with AI-assisted coding tools (e.g., GitHub Copilot) to accelerate test development.
</li><li>Excellent analytical, problem-solving, and communication skills.
</li><li>Prior experience with iPortal or similar enterprise applications is an advantage.<br>
</li></ul></div></div></div></div></div></div></div></div><p></p><div><div><div><div>Mandatory Skills: API Automation Testing .<br>
<p></p>Experience: 5-8 Years .<br>
<p></p>The expected compensation for this role ranges from $60,000 to $148,500 .<br>
<p></p>Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.<br>
<p></p>Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.<br>
<p></p>Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

AUTOMATION ENGINEER L4

AppFolio

<div><div><div><div><div><div><p><b>Hi, We&rsquo;re AppFolio</b></p><p>
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.</p><p>
We are now building the next generation of our platform with AI at the core.</p><p><b>
Realm-X</b> is AppFolio&rsquo;s AI platform powering this transformation:</p><ul><li><p><b>
Assistant</b>: a GenAI copilot embedded across the product experience</p></li><li><p><b>
Flows:</b> an agentic workflow system enabling automation of complex business processes</p></li><li><p><b>
Performers:</b> real-time, multi-modal AI agents operating across voice, text, email, and chat</p></li></ul><p>
We are building not only these experiences, but also the <b>platform that enables teams across AppFolio to contribute and extend AI capabilities.</b></p><p>
At the foundation are <b>deep agents</b>, 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.</p><p><b>
Who we are looking for</b></p><p>
We&rsquo;re seeking a <b>Sr Machine Learning Engineer</b> to play a critical role in shaping Realm-X and the future of AI at AppFolio.</p><p>
This is a high-impact position focused on <b>defining architecture, building next-generation AI systems, and influencing technical direction across teams.</b> You will work at the intersection of machine learning, distributed systems, and product innovation to create AI systems that move beyond assistance into execution.</p><p><b>
Responsibilities:</b></p><ul><li><div>
Define and drive the <b>technical vision and architecture</b> for AI systems within Realm-X</div></li><li><div>
Design and build <b>deep, context-aware agents</b> leveraging domain ontologies and structured business primitives</div></li><li><div>
Lead the development of <b>agentic workflows (Flows)</b> that combine reasoning, planning, and execution</div></li><li><div>
Architect systems for <b>real-time, multi-modal AI agents (Performers)</b> across communication channels</div></li><li><div>
Build and evolve <b>platform capabilities</b> (tools, memory, evaluation systems, abstractions) to enable broad internal adoption</div></li><li><div>
Translate ambiguous, high-impact problems into <b>scalable, production-ready AI systems</b></div></li><li><div>
Establish best practices for <b>LLM evaluation, observability, safety, and iteration loops</b></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 <b>raise the technical bar across the organization</b></div></li><li><div>
Identify and introduce <b>emerging AI technologies and paradigms</b> that create leverage for the business</div></li></ul><p><b>
You know you&rsquo;re the right fit if&hellip;</b></p><p></p><ul><li><div>
You think in terms of <b>systems and platforms</b>, not just features</div></li><li><div>
You have a track record of building and deploying <b>ML/AI systems in production at scale</b></div></li><li><div>
You are comfortable operating in <b>high ambiguity</b> and defining direction where none exists</div></li><li><div>
You can <b>lead through influence</b>, aligning multiple teams around a technical vision</div></li><li><div>
You balance <b>long-term architecture with pragmatic delivery</b></div></li><li><div>
You are motivated by <b>high-impact problems</b> that shape products and business outcomes</div></li></ul><p></p><p><b>
Additional Skills and Knowledge:</b></p><p></p><ul><li><div><b>
Master&rsquo;s or Ph.D. in Computer Science, Machine Learning, or a related technical field (required)</b></div></li><li><div>
Extensive experience developing and deploying <b>machine learning systems in production environments</b></div></li><li><div>
Strong software engineering expertise with languages such as <b>Python, Go, Ruby, or JavaScript</b></div></li><li><div>
Deep understanding of <b>distributed systems, APIs, and cloud infrastructure (AWS or similar)</b></div></li><li><div>
Experience leading large, <b>cross-functional technical initiatives</b></div></li><li><div>
Ability to design systems that integrate <b>structured data, models, and real-time decisioning</b></div></li></ul><p><b>
Nice to Have:</b></p><ul><li><div>
Experience with <b>LLMs, AI agents, and tool-using systems</b> (e.g., LangChain, LangGraph, OpenAI APIs)</div></li><li><div>
Familiarity with <b>agentic architectures</b>, planning/execution loops, and orchestration frameworks</div></li><li><div>
Experience building <b>domain-specific ontologies, knowledge graphs, or semantic layers</b> <b>evaluation frameworks for AI systems</b> (offline and online)</div></li><li><div>
Background in <b>workflow orchestration systems</b> (e.g., Temporal)</div></li><li><div>
Experience building <b>platforms that enable other engineering teams</b></div></li><li><div>
Exposure to <b>multi-modal AI systems</b> (voice, chat, email, etc.)</div></li></ul><p><b>
Compensation &amp; Benefits</b></p><p>
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.</p><p>
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.<br>
<br>
Regular full-time employees are eligible for benefits - see here.</p></div></div></div></div></div><div><div><p><br>
#LI-KB1</p></div></div></div>

Sr. Machine Learning Engineer

<div><p>ECS is seeking an <b><i>Operations Manager</i></b> to work in our <b><i>Washington, DC - Hybrid </i></b>office. <b>Please Note:</b><b> This position is contingent upon contract award.</b></p>
<p>
</p><p>ECS is seeking an Operations Manager to lead and modernize the operational backbone of the SEC's IT environment &mdash; encompassing Data Center operations, the Network Operations Center (NOC), and Disaster Recovery (DR) capabilities. This is a critical leadership role: you will be responsible for the 24/7 reliability of the systems that the SEC depends on to fulfill its regulatory mission, while simultaneously driving these operations toward greater automation, intelligence, and resilience.</p>
<p>
</p><p>The SEC is not looking for someone who will simply manage shifts and keep the status quo running. The agency is investing in AI-driven operations (AIOps), automated incident response, predictive monitoring, and infrastructure automation &mdash; and your operations teams need to be at the center of this transformation. You will be expected to reduce manual operational toil, implement automated runbooks, introduce AI-powered event correlation and root cause analysis, and build a culture where your operators are engineers who build automation, not just watchers who respond to alerts.</p>
<p>
</p><p>You will manage and develop a multi-team operations staff, establish and enforce operational standards, and serve as the primary escalation point for critical infrastructure events. You will work closely with the System Architects, Network Architects, and Cloud Engineers to ensure that the operational model evolves in lockstep with the infrastructure modernization. Your success will be measured not just by uptime and SLA achievement, but by how much manual work you eliminate, how much faster your team resolves incidents, and how effectively you leverage AI and automation to improve the SEC's operational posture.</p>
<p>
</p><p><i>General Description of Benefits</i></p>
Requirements:
<ul><li>10+ years of experience managing IT operations teams, including at least 5 years managing data center operations, NOC, or enterprise operations center teams</li>
<li>Demonstrated track record of transforming operations through automation &mdash; reducing manual toil, implementing automated runbooks, or introducing AIOps capabilities</li>
<li>Experience managing 24/7 multi-shift operations with direct responsibility for uptime SLAs and incident response in mission-critical environments</li>
<li>Strong technical foundation across data center infrastructure (servers, storage, networking, virtualization) and monitoring/observability platforms</li>
<li>Experience implementing or managing enterprise monitoring and event management platforms (ServiceNOW ITOM, Splunk ITSI, Dynatrace, SolarWinds, or equivalent)</li>
<li>Proven ability to measurably improve operational metrics &mdash; MTTR reduction, incident volume reduction, SLA improvement, or automation rate increase</li>
<li>Experience managing Disaster Recovery programs including DR testing, runbook maintenance, and failover coordination</li>
<li>Strong ITIL knowledge with practical experience in event, incident, problem, and change management processes</li>
<li>Experience managing and developing teams of 20+ operations personnel across multiple shifts</li>
<li><b><i>Active Secret clearance or ability to obtain; U.S. citizenship required</i></b></li>
<li>
<p><b><i>Bachelor's degree in Information Technology, Computer Science, or related field. Equivalent combination of education and 12+ years of progressive IT operations management experience accepted.</i></b></p></li><br>
</ul>
<br>
Req Benefits:
<div>https://ecstech.com/careers/benefits/&quot;&gt;https://ecstech.com/careers/benefits/</div></div>

Operations Manager

Amivero

<div>
 <strong>
  Amivero Team
  <br/>
  <br/>
 </strong>
 Amivero&rsquo;s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge and reimagining with our customer how outcomes can be achieved.
 <br/>
 <br/>
 Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.
 <br/>
 <br/>
 As a member of the Amivero team you will use your empathy for a customer&rsquo;s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.
 <br/>
 <br/>
 <strong>
  Special Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   US Citizenship Required to obtain Public Trust
  </li>
  <li>
   Active DHS Clearance (preferred)
  </li>
  <li>
   Bachelor Degree + 10 years of experience
  </li>
  <li>
   3+ years of experience developing and optimizing solutions using Python or similar, with a strong focus on performance, scalability, and efficiency
  </li>
  <li>
   Extensive experience working with vector technology databases, designing and implementing solutions to efficiently store, search, and analyze high-dimensional data for real-time and large-scale applications
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Gist&hellip;
  <br/>
  <br/>
 </strong>
 The AI/ML Engineer designs, develops, trains, and deploys machine learning models to support predictive analytics, anomaly detection, and decision-support capabilities. This role integrates AI/ML solutions into operational workflows, collaborating with data, product, and engineering teams to ensure models are effective, scalable, and aligned with organizational objectives.
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and deploy machine learning models to support predictive analytics, anomaly detection, and decision-support tools.
  </li>
  <li>
   Integrate AI/ML solutions into operational systems and workflows to enhance automation and efficiency.
  </li>
  <li>
   Create and fine-tune algorithms for various tasks such as classification, regression, clustering, and recommendation systems.
  </li>
  <li>
   Preprocess, clean, and transform data to ensure high-quality inputs for model training.
  </li>
  <li>
   Develop models leveraging advanced machine learning techniques, including deep learning, reinforcement learning, and natural language processing.
  </li>
  <li>
   Build and maintain scalable and efficient data pipelines using Databricks and Hadoop/Cloudera.
  </li>
  <li>
   Implement ETL processes to clean, prepare, and transform large datasets for analysis and modeling.
  </li>
  <li>
   Ensure data integrity and quality throughout the data lifecycle.
  </li>
  <li>
   Evaluate model performance using appropriate metrics and implement improvements as needed.
  </li>
  <li>
   Collaborate with data engineers, product managers, and developers to align AI/ML solutions with program goals.
  </li>
  <li>
   Implement best practices for model versioning, deployment, monitoring, and retraining.
  </li>
  <li>
   Ensure compliance with data privacy, security, and regulatory standards in AI/ML workflows.
  </li>
  <li>
   Document model design, assumptions, data sources, and performance results.
  </li>
  <li>
   Stay current with emerging AI/ML technologies, frameworks, and research to enhance solutions.
  </li>
  <li>
   Mentor junior team members and contribute to knowledge sharing in AI/ML development practices.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field; a master&rsquo;s degree preferred.
  </li>
  <li>
   A bachelor&rsquo;s degree with an additional three (3) or more years of relevant experience may substitute for a master&rsquo;s degree.
  </li>
  <li>
   Minimum of five (5) years of directly related experience in AI/ML development, data science, or applied analytics.
  </li>
  <li>
   Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  </li>
  <li>
   Strong programming skills in Python, Java, or R; experience with APIs and integration into production systems.
  </li>
  <li>
   Knowledge of data preprocessing, feature engineering, model evaluation, and deployment pipelines.
  </li>
  <li>
   Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
  </li>
  <li>
   Excellent analytical, problem-solving, and critical-thinking skills.
  </li>
  <li>
   Strong communication and collaboration skills, with the ability to work with cross-functional teams.
  </li>
  <li>
   Experience mentoring or guiding less experienced AI/ML engineers is a plus.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 EOE/M/F/VET/DISABLED
 <br/>
 <br/>
 All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
</div>


AI/ML Developer

<p></p><div><p><b>About EAB</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
For more information, visit our Careers page.</p>
<p><b>
The Role in Brief:</b></p>
<p>
<b>Senior Data Engineer</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
This position is also posted at the Principal Data Engineer level; candidates are being considered at both levels for the current opening.</p>
<p>
<b>Primary Responsibilities:</b></p>
<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><br>
<p></p>
<p><b>
Basic Qualifications:</b></p>
<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><br>
<p></p>
<p><b>
Ideal Qualifications:</b></p>
<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>
<p><i>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.</i></p>
<p><b>
Compensation:</b></p>
<p>
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.</p>
<p>
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.</p>
<p><b>
Benefits:</b></p>
<p>
Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive and inclusive benefits package. Our benefits currently include:</p>
<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>
<p>Benefits kick in day one; learn more at eab.com/careers/benefits.
</p><p><i>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.</i></p>
<p>
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.</p>
<p>
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.</p></div>

Senior Data Engineer

<p></p><div><p><b>About EAB</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
For more information, visit our Careers page.</p>
<p><b>
The Role in Brief:</b></p>
<p><b>
Principal Data Engineer</b></p>
<p>
The Principal 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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
This position is also posted at the Senior Data Engineer level; candidates are being considered at both levels for the current opening.</p>
<p><b>
Primary Responsibilities:</b></p>
<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><br>
<p></p>
<p><b>
Basic Qualifications:</b></p>
<ul>
<li>Bachelor's degree in a related field or equivalent professional experience</li>
<li>8+ 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 ware house 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><br>
<p></p>
<p><b>
Ideal Qualifications:</b></p>
<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>
<p><i>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.</i></p>
<p><b>
Compensation:</b></p>
<p>
The anticipated starting salary range for this role is $91,500 &ndash; $130,000 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.</p>
<p>
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.</p>
<p><b>
Benefits:</b></p>
<p>
Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive and inclusive benefits package. Our benefits currently include:</p>
<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>
<p>Benefits kick in day one; learn more at eab.com/careers/benefits.
</p><p><i>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.</i></p>
<p>
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.</p>
<p>
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.</p></div>

Principal Data Engineer

DevTech Systems, Inc.

<div><p>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.</p><p><br>
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.</p><p><br>
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.</p><div><br>
Responsibilities are as follows:<br>
Data Engineering &amp; Infrastructure (60%)<br>
<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><br>
Data Analysis, Insights, &amp; Decision Support (40%)<br>
<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><br>
Data Leadership, Guidance &amp; Collaboration<br>
<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><p></p><div><br>
General<br>
<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><p></p><div><br>
Requirements<br>
<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)<br>
o Data analysis (exploratory analysis, dashboarding, basic data science methods)<br>
<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><p></p><p><br>
This position&rsquo;s place of performance is Washington D.C. Remote work has been authorized for this position.</p></div>

Data Engineer and Analyst

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