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Vector Resources, Inc.

<div>Client: Department of Energy (DOE), NNSA Office of Strategic Planning and Analysis (NA-183)
Contract: Technical Support Services
Location: Washington, D.C.
Security Clearance: DOE Q or DOD TS (may require SCI)
OVERVIEW
The Data Analyst will develop and maintain analytic products, dashboards, and ETL pipelines informing nuclear industrial base assessments, at-risk materials monitoring, CFIUS reviews, and emerging technology evaluations. Work is analyst-driven and directly informs senior government decision-makers.
KEY RESPONSIBILITIES<ul><li>
Design, build, and maintain interactive dashboards and visualizations in Power BI to support recurring and ad hoc analytic requirements.</li><li>
Develop, automate, and document ETL processes across structured and unstructured data sources, including government systems, commercial databases, and open-source feeds.</li><li>
Conduct open-source data stream analysis to identify trends, anomalies, and indicators relevant to nuclear industrial base resilience, supply chain risk, at-risk materials, and foreign investment activity.</li><li>
Produce written analytic products, data summaries, and briefing materials supporting CFIUS case reviews, technology assessments, and related national security evaluations.</li><li>
Write and maintain scripts for data acquisition, transformation, enrichment, and analysis.</li><li>
Integrate disparate datasets into unified analytic environments; perform data quality assurance, deduplication, entity resolution, and normalization.</li><li>
Partner with government leads, subject matter experts, and fellow contractors to translate mission questions into repeatable analytic workflows.</li><li>
Document data sources, methodologies, assumptions, and limitations to standards acceptable for government record and audit.</li></ul>
REQUIRED QUALIFICATIONS<ul><li>
Bachelor's degree in data science, statistics, computer science, engineering, economics, international affairs, or a related field. Equivalent experience will be considered.</li><li>
Minimum of 2 years of professional experience in a data analyst, intelligence analyst, or research analyst role.</li><li>
Demonstrated proficiency in Power BI, DAX, Power Query (M), data modeling, and dashboard publication.</li><li>
Working proficiency in Python for data manipulation and analysis (pandas, requests, standard ETL libraries).</li><li>
Experience designing and operating ETL pipelines against multiple source types (APIs, flat files, SQL, web-scraped content).</li><li>
Strong written analytic communication; ability to produce concise products for senior audiences.</li><li>
Active DOE Q or DoD Top Secret clearance at time of hire.</li><li>
U.S. citizenship.
</li><li>Local residence in the DC-MD-VA area.</li></ul>
PREFERRED QUALIFICATIONS<ul><li>
Experience supporting DOE, NNSA, DoD, IC, or Treasury customers on national security analytic missions.</li><li>
Subject matter familiarity with any of the following: nuclear industrial base, nuclear fuel cycle, critical and at-risk materials (including rare earths, tritium, HEU/LEU supply chains), CFIUS, export controls, emerging technology assessments (AI/ML, nuclear fuel cycle, quantum, biotech, advanced semiconductors, material characterization).</li><li>
Working proficiency in R for statistical analysis.</li><li>
Experience with open-source intelligence (OSINT) tradecraft, including structured analytic techniques, source evaluation, and foreign-language source triage.</li><li>
Experience with SQL and relational database design.</li><li>
Experience with Azure data services, SharePoint, or Power Platform (Power Automate, Power Apps) integration.</li><li>
Familiarity with supply chain analytics, trade data (Panjiva, ImportGenius, UN Comtrade), corporate registry data (Sayari, DunBradstreet), or patent/publication datasets.</li><li>
Experience with geospatial analysis (ArcGIS, QGIS, or Python geospatial libraries).</li></ul><ul><li>
Graduate degree in a relevant discipline.</li><li>
</li></ul>WORK ENVIRONMENT
Hybrid schedule typically consisting of 3 days at the customer site in Washington, D.C. and 2 days of telework.
About Vector Resources, Inc.
Founded in 1998, Vector Resources Inc, is a professional services company specializing in technical and management services supporting the energy, defense, national security, and advanced technology sectors. We contract directly with Federal and state government agencies as well as private sector organizations. Our clients address a wide range of complex challenges and our experienced team provides innovative, thoughtful, and cost-effective solutions focused on their needs. VRI is proud to offer a comprehensive and flexible benefits package that includes:<ul><li>
Competitive Salaries
</li><li>Paid Time Off</li><li>
Healthcare Benefits (Medical, Dental, Vision)</li><li>
401(k) and 401(k) safe harbor plan with employer contribution of 3%</li><li>
Insurance (Basic Life and AD&amp;D, Dependent, Short-term, Long-term)</li><li>
Tuition Assistance</li></ul>
Find out more about Vector Resources at https://www.vector-resources.com/</div>

Data Analyst

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

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 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. 
This position is critical to improving data accessibility, interoperability, and decision-making across VA systems.
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 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 
</li><li>
Proficiency in SQL and programming languages (Python, Java) 
</li><li>
Experience with APIs, microservices, and middleware 
</li><li>
Knowledge of data modeling and architecture 
</li><li>
Experience with event-driven and streaming data architectures (e.g., Kafka, Kinesis, SQS/SNS) 
</li><li>
Experience integrating with VA Lighthouse APIs or enterprise API gateway platforms 
</li><li>
Knowledge of FHIR-based APIs and real-time healthcare data exchange patterns (not just HL7/FHIR formats) 
</li><li>
Experience working in AWS GovCloud environments 
</li><li>
Familiarity with cloud-native data services (e.g., S3, Glue, Lambda, RDS, Redshift, Kinesis) 
</li><li>
Experience with data governance, lineage, and data quality frameworks 
</li><li>
Understanding of data security and privacy controls in regulated environments (PII/PHI, FISMA/FedRAMP) 
</li><li>
Experience with API-first integration patterns and microservices-based data access 
</li><li>
Experience supporting legacy system integration (mainframe or monolith modernization) 
</li><li>
Familiarity with containerized data services (Docker/Kubernetes)</li></ul>
Preferred Qualifications:<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>
Responsibilities:<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>
Why This Role Matters:
Data Engineers enable the VA to unlock the value of its data, improving interoperability, analytics, and outcomes for Veteran services.
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>

Data Engineer / Integration Specialist

KPMG

<div>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.
KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice.<h3 class="jobSectionHeader">
Responsibilities:</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">
Qualifications:</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> 
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
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.
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.
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.</div>

Senior Specialist, Federal Data Engineer

Bridge Defense

<div>About Bridge Defense. Bridge Defense is redefining how modern defense technology is delivered. Based in Washington, D.C., we are built for the dynamic mission environment facing the Department of Defense, the Intelligence Community, and federal law enforcement agencies. We provide full-spectrum national security solutions that combine secure infrastructure, cleared talent, and mission-ready software to meet evolving defense challenges. Our services include secure software development in classified environments and the design and implementation of advanced IT and cybersecurity capabilities ranging from secure cloud architectures and enterprise infrastructure to data center operations, scientific analysis, cutting-edge cyber defense, and intelligence analysis. 
We are led by technologists and veterans with firsthand mission experience, which enables us to understand both the operational realities and the innovation needed to succeed. Our approach is agile and outcome-based, delivering results in weeks rather than months whenever possible. 
At Bridge Defense we value people, integrity, and excellence. We foster an environment where innovation thrives in support of traditional mission requirements. Our team members receive competitive compensation, robust benefits, professional development and certification opportunities, and clear paths for growth while working on the nation&rsquo;s most critical projects. 
Core Values:<ul><li>
Innovation &amp; Responsiveness: We push beyond legacy models with efficient, tech-led solutions built to scale and evolve.</li><li>
Trusted Performance: Security, compliance, and deep experience in delivering to demanding environments guides all we do.</li><li>
Mission Focused Expertise: From veteran leadership to cleared engineers, our people understand both the technology and the mission.</li></ul> 
Summary:
As a Data Engineer, you will be required to interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data. You will work with key business stakeholders, IT experts, and subject-matter experts to plan and deliver optimal data solutions. You will create, maintain, and optimize data pipelines as workloads move from development to production for specific use cases to ensure seamless data flow for the use case. You will perform technical and non-technical analyses on project issues and help to ensure technical implementations follow quality assurance metrics. You will analyze data and systems architecture, create designs, and implement information systems solutions. 
Essential Duties and Responsibilities:<ul><li>
Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.</li><li>
Develop and design data pipelines to support an end-to-end solution.</li><li>
Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes).</li><li>
Integrate data pipelines with AWS cloud services to extract meaningful insights.</li><li>
Work with stakeholders to support their data infrastructure needs and assist with data-related technical issues.</li><li>
Design and develop robust and functional dataflows to support raw data and expected data.</li><li>
Provide Tier 3 technical support for deployed applications and dataflows.</li><li>
Define and communicate a clear product vision for our client&rsquo;s software products, aligning with user needs and business objectives.</li><li>
Create and manage product roadmaps that reflect both innovation and growth strategies.</li><li>
Partner with a government product owner and a product team of 7-8 FTEs.</li><li>
Collaborate with the rest of data engineering team to design and launch new features.</li><li>
Coordinate and document dataflows, capabilities, etc.</li><li>
Occasionally (as needed) support to off-hours deployment such as evening or weekends.</li><li>
Co-location: High colocation, 70-80% onsite</li></ul>
Required Qualifications, Education, and Experience:<ul><li>
Active TS/SCI clearance</li><li>
Bachelor&rsquo;s degree or equivalent practical experience.</li><li>
Expertise in distributed computing frameworks to handle large-scale data processing.</li><li>
Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments.</li><li>
Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL.</li><li>
Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies.</li><li>
Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka.</li><li>
Familiar with Linux/Unix server environments.</li><li>
Experience with Agile development methodology.</li><li>
Publishing and/or presenting design reports.</li><li>
Coordinating with other team members to reach project milestones and deadlines.</li><li>
Working knowledge with Collaboration tools, such as, Jira and Confluence</li></ul>
Desired Qualifications, Education, and Experience:<ul><li>
Master&rsquo;s degree or equivalent experience in a related field.</li><li>
Familiarity and experience with the Intelligence Community (IC), and the intel cycle.</li><li>
Familiarity and experience with the Department of Homeland Security (DHS).</li><li>
Direct Experience with DHS and Intelligence Community (IC) component's data architectures and environments (IC-GovCloud experience preferred).</li><li>
Experience with cloud message APIs and usage of push notifications.</li><li>
Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security.</li><li>
Working knowledge with public keys and digital certificates.</li><li>
Experience with DevOps environments.</li><li>
Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications.</li><li>
Experience with cloud message APIs and usage of push notifications.</li><li>
Specialization in Object Oriented Programming languages, scripting, and databases.</li></ul>
The Successful Candidate will Possess:<ul><li>
Prospective candidates should have strong risk management skills, excellent communication, teamwork, and conflict management skills.</li><li>
The candidate must be analytical and effectively able to prioritize needs, requirements, and other issues.</li><li>
Ability to communicate and interact effectively at all levels of staff and management.</li><li>
Ability to exercise independent judgment, develop relationships, and obtain consensus among interested parties.</li><li>
Critical thinker with strong technical skills, diagnostic skills and problem-solving ability.</li><li>
Solid written and verbal communication skills to negotiate direction, drive projects and projects to successful conclusion and deliver knowledge to team members verbally and via clear designs, runbooks and technical engineering and exchange sessions.</li><li>
Self-starter, flexible, adaptable, collaborative and motivated to champion continuous improvement.</li><li>
Ability to develop peer networks across an enterprise to maintain technology awareness and to support resolution of problems.</li><li>
Ability to operate across traditional technical boundaries, comfortable working in the compute space as well as the storage space in an operational capacity.</li><li>
Technically curious and driven to learn new skills.</li></ul>
General Factors:<ul><li>
Depending on project requirements, may be required to work within a compressed schedule; overtime should be expected when schedules demand it.</li><li>
Willing to travel, if needed.</li><li>
No Relocation.</li><li>
Must be able to sit/stand at a desk for long-periods and must be able to lift 20 pounds occasionally.</li><li>
Must be able to multi-task and rapidly change priorities with limited notice.</li></ul> 
Online applications, please.
When we review candidates' information, we are looking for the best matches for the position based on the qualifications listed in the job posting. If your skills and experience appear to match an open position, a recruitment services professional or a hiring manager may contact you. 
Bridge Defense is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of the company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation and gender identity or expression, national origin or protected veteran status and will not be discriminated against on the basis of disability. If you are a qualified disabled veteran or individual with a disability and need reasonable accommodation to use or access our online system, please contact us at 202-436-9222. 
The pay range for this role is: 
120,000 - 155,000 USD per year(Washington, DC (NAC))</div>

Data Engineer (Data Architecture & Engineering)

Metric5

<div>Oracle Cloud Reports Developer
The Oracle Cloud Reports Developer will focus on HCM report development.
The Oracle Cloud Reports Developer is responsible for designing, developing, and delivering high-quality reporting solutions from Oracle Cloud Applications. This role provides hands-on technical experience in cloud report development that ensures performance, accuracy, security, and alignment with enterprise standards.
Key Responsibilities
<ul><li>Design and build reports using Oracle Cloud reporting tools including OTBI, BI Publisher, and Fusion data models to meet operational, regulatory, and executive reporting needs.</li>
<li>Advise on best practices for querying Oracle Cloud data by thoroughly understanding the Oracle Cloud HCM data model.</li>
<li>Collaborate with business teams to gather functional reporting requirements and translate them into detailed technical specifications that align with best practice documentation standards.</li>
<li>Coordinate with reporting users to unit test and performance tune report queries, ensuring data accuracy and achieving user acceptance.</li>
<li>Troubleshoot and resolve report defects, data discrepancies, and performance issues.</li>
<li>Maintain reporting standards, documentation, and reusable assets to promote consistency and scalability across implementations.</li>
</ul>
Required Qualifications:
<ul><li>2+ years of experience</li>
<li>Must be a US Citizen and able to pass a government background investigation</li>
<li>Excellent verbal and written communication</li>
<li>Detail Oriented</li>
<li>Ability to work independently and collaboratively as needed to achieve results</li>
</ul>
Preferred Qualifications:
<ul><li>HR and Financial reporting experience</li>
<li>SQL experience</li>
</ul>
Work Location: Remote within the US, with occasional travel to Tennessee
Contract Length: 6 months
Metric5 is an Equal Opportunity Employer. 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.</div>

Oracle Cloud Reports Developer

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

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