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associate data analyst, washington d.c. Jobs in Washington

associate data analyst, washington d.c.

associate data scientist Jobs in Washington

associate data scientist

data engineer integration specialist

Network Designs

<div><p><b>About NDi:</b></p><p>
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. <b>Military Veterans Encouraged to Apply.</b></p><p><b>
Job Description:</b></p><p>
We are seeking a Data Engineer / Integration Specialist to support data modernization and interoperability initiatives for the VA under T4NG2. This role focuses on building data pipelines, enabling system integration, and supporting enterprise data exchange.<br>
This position is critical to improving data accessibility, interoperability, and decision-making across VA systems.</p><p><b>
Requirements</b>:</p><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><p><b>
Qualifications and Experience:</b></p><ul><li>
Bachelor degree in Computer Science or related</li><li>
Minimum of ten (10) years of relevant experience</li><li>
Certifications in data engineering or cloud platforms are preferred</li><li>
Experience with ETL tools and data pipeline development<br>
</li><li>
Proficiency in SQL and programming languages (Python, Java)<br>
</li><li>
Experience with APIs, microservices, and middleware<br>
</li><li>
Knowledge of data modeling and architecture<br>
</li><li>
Experience with event-driven and streaming data architectures (e.g., Kafka, Kinesis, SQS/SNS)<br>
</li><li>
Experience integrating with VA Lighthouse APIs or enterprise API gateway platforms<br>
</li><li>
Knowledge of FHIR-based APIs and real-time healthcare data exchange patterns (not just HL7/FHIR formats)<br>
</li><li>
Experience working in AWS GovCloud environments<br>
</li><li>
Familiarity with cloud-native data services (e.g., S3, Glue, Lambda, RDS, Redshift, Kinesis)<br>
</li><li>
Experience with data governance, lineage, and data quality frameworks<br>
</li><li>
Understanding of data security and privacy controls in regulated environments (PII/PHI, FISMA/FedRAMP)<br>
</li><li>
Experience with API-first integration patterns and microservices-based data access<br>
</li><li>
Experience supporting legacy system integration (mainframe or monolith modernization)<br>
</li><li>
Familiarity with containerized data services (Docker/Kubernetes)</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Experience with healthcare data (HL7, FHIR)</li><li>
Experience supporting federal or VA data systems</li><li>
Knowledge of big data technologies (Spark, Hadoop)</li></ul><p><b>
Responsibilities:</b></p><ul><li>
Design and develop data pipelines and ETL processes</li><li>
Build and maintain APIs and integration services</li><li>
Support data migration, transformation, and standardization</li><li>
Ensure interoperability across systems and platforms</li><li>
Work with structured and unstructured data sources</li><li>
Optimize data performance and reliability</li><li>
Collaborate with analytics and application teams</li></ul><p><b>
Why This Role Matters:</b></p><p>
Data Engineers enable the VA to unlock the value of its data, improving interoperability, analytics, and outcomes for Veteran services.</p><p><b>
Compensation and Benefits:</b></p><p>
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.</p><p><b><i>
Veterans First</i></b><b> Commitment:</b></p><p>
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.</p><p><b>
Commitment to Diversity:</b></p><p>
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.</p><p><b>
Apply Now:</b> Take advantage of this unique opportunity to join one of the fastest-growing companies in Federal contracting!</p></div><p></p>

Data Engineer / Integration Specialist

KPMG

<div><p>The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.</p>
<p>KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice.</p><h3 class="jobSectionHeader"><b>
Responsibilities:</b></h3><ul><li>
Utilize data wrangling tools and coding languages such as Python, PySpark, and SQL to extract valuable insights from data through analytics</li><li>
Assist in technical processes from ideation to delivery: Research, experiment, and utilizing data methodologies to build pipelines / scalable analytic tools using leading technologies</li><li>
Regularly conduct peer code reviews to ensure code quality and provide expert documentation / operating guidance for users</li><li>
Execute data operations essential for analysis, including tasks such as data cleansing, data integration, and data transformation</li><li>
Develop data engineering designs and translate efforts between business / technical stakeholders</li><li>
Monitor performance and reliability of data systems, identifying / resolving issues while proactively optimizing logic and model performance by code tuning, streamlining, resource allocation</li></ul><h3 class="jobSectionHeader"><b>
Qualifications:</b></h3><ul><li>
A minimum of three years of technical data engineering experience; U.S. Federal government consulting experience preferred</li><li>
Bachelor's degree from an accredited college/university</li><li>
Experience with programming languages (Python, PySpark, SQL)</li><li>
Experience with data quality management: Ability to ensure data integrity, accuracy, consistency through data validation, cleansing, and error handling techniques</li><li>
Experience with data processing / ETL knowledge: Extract, Transform, Load (ETL) processes and tools for data ingestion, integration, transformation</li><li>
Expertise with development tools / methodologies (Agile, git, test driven development, CI/CD release management)</li><li>
Proven ability to rapidly ingest, transform, engineer, and visualize data</li><li>
Ability to travel as required to support firm engagements</li><li>
Applicant must possess a U.S. Government Secret clearance</li></ul>
<div><div>KPMG LLP and its affiliates and subsidiaries (&ldquo;KPMG&rdquo;) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits &amp; How We Work.</div><div></div><div><br>
Follow this link to obtain salary ranges by city outside of CA:</div></div>
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M101ADV_4_26
<p>KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p><p>
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.</p><p>
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p></div>

Senior Specialist, Federal Data Engineer

AHU Technologies

<div><div><div><b>Job Description:</b><br>
</div><div><b>Short Description</b>:<br>
</div><div>16+ years of experience. Analyzes, designs, and implements networks to withstand security intrusions.<br>
</div><div><b>Complete Description:</b><br>
<b>Employment Type: Contract w2/1099/C2C</b><br>
</div><div>The role involves supporting the replacement, lifecycle management, and upgrade of networking equipment such as switches, routers, firewalls, and related hardware across the agency&rsquo;s environment. The specialist develops and maintains detailed network documentation, including logical and physical diagrams, system interfaces, rack elevations, cabling records, and equipment inventories for 911 and 311 operations. They also maintain thorough configuration documentation, standard operating procedures, change records, and disaster recovery materials specific to mission‑critical systems. The position monitors network performance, identifies vulnerabilities or bottlenecks, and implements corrective measures to ensure high availability for 24/7 emergency communications. Additionally, the specialist troubleshoots complex network issues affecting 911 operations, performs root‑cause analysis, and restores service rapidly. The role includes managing and supporting two data centers hosting critical 911 applications, ensuring continuous availability, redundancy, and compliance with public‑safety requirements.<br>
<br>
 <br>
<b>CONTRACT JOB DESCRIPTION</b><br>
<b> Responsibilities:</b><br>
</div><ul><li>Knowledge of network analysis related to infrastructure design.</li>
<li>May be an expert in security or intrusion detection.</li>
<li>Proficient in proprietary network technology.</li>
<li>Advanced experience with, but not limited to, routers, firewalls, switches, and servers.</li>
<li>Advanced knowledge in network analysis.</li>
<li>Advanced problem resolution and project management skills.</li>
<li>Designs and implements class wide area networks.</li>
<li>Experience with Firewalls, VPN, encryption, intrusion detection and prevention systems, and penetration testing.</li>
<li>Knowledge of network vulnerabilities and be able to mitigate and prevent each one.</li>
<li>Supporting the replacement, lifecycle management, and upgrade of networking equipment, including core, distribution, and access layer switches; routers; firewalls; and related hardware used across the agency&rsquo;s network environment</li>
<li>Creating, maintaining, and improving detailed network diagrams for all agency systems, including logical network maps, physical connectivity diagrams, and system‑to‑system interfaces used by 911 and 311 operations.</li>
<li>Developing and maintaining rack elevation diagrams, equipment inventories, and cabling documentation for data centers, communications rooms, and remote agency sites</li>
<li>Preparing and maintaining documentation of network configurations, standard operating procedures, change records, and disaster recovery materials specific to the 911 environment.</li>
<li>Monitoring network performance and availability, identifying bottlenecks or vulnerabilities, and implementing corrective actions to ensure the resiliency required for 24/7 emergency communications</li>
<li>Troubleshooting complex network issues affecting critical 911 operations, conducting root‑cause analysis, and restoring service quickly while documenting findings</li>
<li>Managing and supporting two data centers that host mission‑critical 911 applications, ensuring continuous availability, redundancy, and compliance with public‑safety operational requirements</li>
</ul><div><b>Minimum Education/Certification Requirements:</b><br>
Bachelor&rsquo;s degree in IT or related field or equivalent experience<br>
</div><div><b>Skills Matrix</b><br>
</div><ul><li>16+ yrs. analyzing networks related to infrastructure design</li></ul><br>
<ul><li>16+ yrs. identifying best practices and standards for the use of the product</li></ul><br>
<ul><li>16+ yrs. supporting and designing industry specific technologies that require integration with systems or networks</li></ul><br>
<ul><li>Bachelor&rsquo;s degree in IT or related field or equivalent experience</li></ul></div></div>

Senior Network Security Architect

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

Strategic Technology Institute Inc.

<p><b>Job Summary</b><br/>We are seeking a dynamic and detail-oriented Librarian / ALMA Implementation Specialist to lead the integration and management of our library systems, with a focus on the Alma library services platform. This role combines expertise in collection management, cataloging, and data organization with project management skills to ensure seamless implementation of ALMA, an innovative library services platform. The successful candidate will enhance our library operations by optimizing resource access, improving metadata standards, and supporting digital initiatives. This paid position offers an exciting opportunity to shape our library&rsquo;s future through technology and strategic planning.</p><p>The Head Cataloger Librarian provides senior-level cataloging and library systems expertise to support the implementation and optimization of the Ex Libris ALMA/Primo Integrated Library System at the National Defense University Libraries. The role supports physical, digital, and special collections and performs work at the original cataloging and authority control level.<br/>Key Responsibilities:</p><p>Lead and support cataloging activities during and after migration to Ex Libris ALMA/Primo.<br/>Perform original and complex cataloging using MARC 21, RDA, and OCLC standards.<br/>Conduct metadata cleanup, normalization, and authority control for physical and digital collections.<br/>Support configuration, maintenance, and quality control of the ILS and discovery systems.<br/>Maintain accurate bibliographic and authority records to ensure high-quality discovery and access.<br/>Provide monthly status reports and coordinate with government library staff.</p><p><b>Duties</b></p><ul><li>Lead the implementation and configuration of the ALMA library services platform, ensuring alignment with institutional goals and workflows</li><li>Manage collection development processes, including acquisition, cataloging, classification, and metadata creation to improve resource discoverability</li><li>Oversee data management tasks such as database maintenance, archival processing, digitization projects, and resource description using Resource Description &amp; Access (RDA) standards</li><li>Develop and maintain integrated library systems (ILS), databases, and digital repositories to support efficient library operations</li><li>Collaborate with teams on grant proposal writing related to digital projects, archives management, and resource enhancement initiatives</li><li>Provide training and ongoing support for staff and users on library services, cataloging standards, and ALMA functionalities</li><li>Enhance user experience through customer service excellence, social media management for outreach, and effective communication of library resources and policies</li></ul><p><b>Requirements</b></p><p>Required Qualifications:</p><p>Master&rsquo;s Degree in Library Science from an ALA-accredited program.<br/>Minimum five (5) years of professional cataloging experience, preferably in academic or special libraries.<br/>Demonstrated experience with ILS migration or implementation (Ex Libris ALMA preferred).<br/>Advanced knowledge of metadata standards and authority control.<br/>Ability to work on site and meet federal security requirements.</p><ul><li>Proven experience with collection management, cataloging standards (such as MARC or Dublin Core), and archives management</li><li>Strong knowledge of integrated library systems (ILS), databases, metadata schemas, and digital resource platforms</li><li>Experience in project management, including planning, execution, and evaluation of system implementations or digital initiatives</li><li>Excellent communication skills for training staff, collaborating across departments, and engaging with external partners</li><li>Demonstrated organizational skills to handle multiple projects simultaneously while maintaining attention to detail</li><li>Familiarity with intellectual property law as it relates to digital content and resource sharing</li><li>Ability to adapt quickly to new technologies such as digitization tools and social media platforms for outreach purposes</li><li>Knowledge of archival standards like ISAD(G) or EAD is a plus</li></ul><p>Pay: $67,929.60 - $81,807.70 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible spending account</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Professional development assistance</li><li>Retirement plan</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul><p>Application Question(s):</p><ul><li>Master&rsquo;s Degree in Library Science from an ALA-accredited program.</li><li>Experience with ILS migration or implementation (Ex Libris ALMA preferred)</li></ul><p>Education:</p><ul><li>Master's (Preferred)</li></ul><p>Location:</p><ul><li>Washington, DC 20319 (Preferred)</li></ul><p>Ability to Commute:</p><ul><li>Washington, DC 20319 (Preferred)</li></ul><p>Work Location: In person</p>

Librarian/ ( ALMA Implementation Specialist)

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

Johns Hopkins University

<div><div><div>Washington, DC, United States</div>
</div><div>
</div><p></p><div><div><div>Find out how well you match with this job</div>
<div></div><div>
</div></div></div><div><div><div><div><div><div><div>Job description
 </div><div></div><p>Working at JHU
</p></div></div></div><div><div><div><div><div>Affiliated Office Address</div>
<div>Washington, DC, United States</div>
</div><div><div>Requisition ID</div>
<div>121136</div>
</div><div><div>Date Created</div>
<div>May 01, 2026</div>
</div><div><div>Job Family</div>
<div>Data Management</div>
</div><div><div>Job Subfamily</div>
<div>Data Management</div>
</div><div><div>Job Function</div>
<div>Research</div>
</div><div><div>Exempt Status</div>
<div>Non-Exempt</div>
</div><div><div>Shift Type</div>
<div>Full Time</div>
</div><div><div>Schedule</div>
<div>Monday-Friday, 8:30am-5pm</div>
</div><div><div>Worksite</div>
<div>01-DC:District of Columbia</div>
</div><div><div>Work Modality</div>
<div>Hybrid: On-site 60-89% of hours worked (Ex: 3-4 out of 5 days/week)</div>
</div></div><div><div><p>Faculty member Nathaniel Baum-Snow is seeking one full-time <b><i>Pre-Doctoral Research Data Specialist </i></b>to work as part of his research team. This position offers an opportunity to gain training in a broad set of economic and policy research topics and approaches, including data-intensive methods that will give pre-docs a window into research in urban and real estate economics. This opportunity is most suitable for recent college graduates with substantial coursework in economics and applied econometrics who are planning to pursue a Ph.D. in economics, public policy, or related fields. Experience in this position will help candidates moving onto Ph.D. programs to hit the ground running for their own graduate studies. The role is based in Washington DC, with workspace shared with other fellows to foster camaraderie and peer learning. Ideal candidates have an interest in the economics of cities and some experience manipulating spatial data sets.</p><br>
<p></p><br>
<p>The Research Data Specialist will assist in the management, analysis, and reporting of complex data to support a research project or study. The Research Data Specialist will work closely with the research team and support the preparation of reports, publications, and presentations. The Specialist will gain experience analyzing large and complex data sets working with software including Stata, R, QGIS, and Python. This research practice is strengthened with additional education opportunities, including the opportunity to attend SGP research seminars.</p><br>
<p></p><br>
<p><b>Specific Duties &amp; Responsibilities</b></p>
<ul><li>Assist with building datasets, constructing variables and data cleaning.</li>
<li>Assist with the production of publication-quality tables and graphs and present results to the study team.</li>
<li>Provide preliminary and interim analyses of data; perform statistical calculations and assist with preparation of reports, scientific abstracts and method sections of manuscripts.</li>
<li>Support the performance of analyses on large, complex datasets, and document analyses using STATA, R, Python, etc.</li>
<li>Prepare data reports and analyses, report on the status of the database, conduct analytical activities, and review reports to verify data.</li>
<li>Other duties as assigned.</li><br>
</ul><br>
<br>
<b>Minimum Qualifications</b>
<br>
<ul><li>Associate&rsquo;s Degree.</li>
<li>Two years of related experience.</li>
<li>Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.</li><br>
</ul><br>
<br>
<b>Preferred Qualifications</b>
<br>
<ul><li>Bachelor&rsquo;s Degree</li>
<li>Candidates should be excited about working on policy-oriented academic research in urban and real estate economics.</li>
<li>Candidates must have a solid quantitative background with strong programming skills and be considering pursuing a Ph.D. in economics or a closely related discipline.</li>
<li>Candidates must have coding experience in some combination of Python, R and Stata GIS experience preferred.</li>
</ul><p></p><p>Classified Title: Research Data Specialist
<br>
Job Posting Title (Working Title): Pre-Doctoral Research Data Specialist (School of Government and Policy)
<br>
Role/Level/Range: ACRO37.5/03/CE
<br>
Starting Salary Range: $19.75 - $35.35 HRLY ($65,000 targeted; Commensurate w/exp.)
<br>
Employee group: Full Time
<br>
Schedule: Monday-Friday, 8:30am-5pm
<br>
FLSA Status: Non-Exempt
<br>
Location: District of Columbia
<br>
Department name: Staff
<br>
Personnel area: School of Government &amp; Policy</p>
</div></div><p></p><div><div><div><div><div><p><b><i>Total Rewards</i></b>
<br>
The referenced base salary range represents the low and high end of Johns Hopkins University&rsquo;s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.</p>
<p><b><i>Education and Experience Equivalency</i></b>
<br>
Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.</p>
<p><b><i>Applicants Completing Studies</i></b>
<br>
Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.</p>
<p><b><i>Background Checks</i></b>
<br>
The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.</p>
<p><b><i>Diversity and Inclusion</i></b>
<br>
The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion.</p>
<p><b><i>Equal Opportunity Employer</i></b>
<br>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</p>
<p><b><i>EEO is the Law</i></b>
<br>
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf</p>
<p><b><i>Accommodation Information</i></b>
<br>
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit: https://accessibility.jhu.edu/.</p>
<p><b><i>Vaccine Requirements</i></b>
<br>
Johns Hopkins University requires all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry.</p>
<p><b><i>The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly.</i></b>
<br>
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.</p></div></div></div></div></div></div></div></div></div></div></div>

Pre-Doctoral Research Data Specialist (School of Government and Policy)

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