data scientist

ai devops engineer

ai/ml developer

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

associate data analyst, washington d.c.

business analyst/scrum master Jobs in Washington

business analyst/scrum master

data engineer

Fustis LLC

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

Senior Big Data Developer

KNOWFINITY

<div>
 <strong>
  Summary
  <br/>
  <br/>
 </strong>
 We are hiring a
 <strong>
  Data Scientist
 </strong>
 on behalf of one of our prestigious
 <strong>
  Fortune 500 Product-Based clients in the United States
 </strong>
 . This is an exciting opportunity to work on large-scale data platforms, advanced machine learning solutions, and data-driven products used by millions of customers worldwide.
 <br/>
 <br/>
 The ideal candidate should have hands-on experience in statistical analysis, predictive modeling, machine learning, and transforming complex data into actionable business insights within a fast-paced product environment.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze large and complex datasets to identify trends, patterns, and business opportunities.
  </li>
  <li>
   Develop, validate, and deploy machine learning and predictive analytics models.
  </li>
  <li>
   Design and implement statistical models to solve real-world business problems.
  </li>
  <li>
   Collaborate with software engineers, data engineers, product managers, and business stakeholders to build data-driven solutions.
  </li>
  <li>
   Build dashboards, reports, and visualizations to communicate insights effectively.
  </li>
  <li>
   Perform feature engineering, model evaluation, and optimization for production-grade models.
  </li>
  <li>
   Develop forecasting, recommendation, classification, and clustering models.
  </li>
  <li>
   Support experimentation, A/B testing, and performance measurement initiatives.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of experience in Data Science, Machine Learning, Analytics, or a related field.
  </li>
  <li>
   Strong proficiency in Python and SQL.
  </li>
  <li>
   Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or XGBoost.
  </li>
  <li>
   Strong understanding of statistics, probability, and predictive modeling techniques.
  </li>
  <li>
   Experience working with structured and unstructured datasets.
  </li>
  <li>
   Knowledge of data visualization tools such as Tableau, Power BI, or Looker.
  </li>
  <li>
   Familiarity with cloud platforms such as AWS, Azure, or GCP.
  </li>
  <li>
   Strong analytical, problem-solving, and communication skills.
  </li>
  <li>
   Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working in a product-based company.
  </li>
  <li>
   Exposure to Generative AI, NLP, and Large Language Models (LLMs).
  </li>
  <li>
   Experience with Spark, Databricks, and big data technologies.
  </li>
  <li>
   Familiarity with MLOps tools and model deployment practices.
  </li>
  <li>
   Experience with A/B testing and experimentation frameworks.
  </li>
  <li>
   Knowledge of recommendation systems and customer analytics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Opportunity to work with a Fortune 500 Product-Based organization.
  </li>
  <li>
   Exposure to enterprise-scale data science and machine learning projects.
  </li>
  <li>
   Collaborative and innovation-driven work environment.
  </li>
  <li>
   Competitive compensation package.
  </li>
  <li>
   Long-term career growth and advancement opportunities.
  </li>
  <li>
   Access to modern technologies and data-driven decision-making initiatives.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Work Authorization
  <br/>
  <br/>
 </strong>
 Candidates must be legally authorized to work in the United States.
 <br/>
 <br/>
 <strong>
  Visa sponsorship is available for eligible candidates.
  <br/>
  <br/>
 </strong>
 Skills: tableau,power bi,gcp,generative ai,sql,data science,aws,azure,python,data analytics,machine learning,tensorflow
</div>


Data Scientist

National Capitol Contracting (NCC)

<div><div><b>Position Summary</b></div><div></div><div><b><br>
This position requires an Active Secret Clearance</b></div><div></div><div><br>
National Capitol Contracting is seeking motivated, skilled, and innovative <b>Foundry Developer II</b> with experience in Foundry, Qlik, Databricks, Power BI, and Python. Our work directly contributes to strengthening the Navy&rsquo;s digital and operational capabilities, and successful candidates will benefit from substantial training, mentorship, and advancement opportunities. Successful candidates will be comfortable working with enterprise-scale systems, collaborating with senior Navy and appointed leadership, and developing tools and processes for a wide range of stakeholders.<br>
<br>
NAVSEA&mdash;one of the Navy&rsquo;s six procurement commands and the organization responsible for both industrial operations and digital modernization&mdash;has partnered with National Capitol Contracting (NCC) on a congressionally funded data analytics initiative: the Naval Digital Logistics Acceleration (NDLA) program.<br>
<br>
For experienced data professionals, this is a rare opportunity to have a measurable impact on national defense, collaborate across complex organizations, and deliver solutions that will shape a more resilient, data‑driven Navy of the future.</div><p><b><br>
 Essential Duties and Responsibilities</b></p><div><ul><li>
Design future-state, modern data architecture, pipelining, and analysis for transformation at the enterprise level using advanced cloud architectural principles</li><li>
Work with cutting-edge DevOps technologies and develop advanced analytics products</li><li>
Apply data pipelining and statistical programming tools to enterprise data to advance and enable key mission outcomes</li><li>
Build and optimize data pipelines and transform using Python within Foundry</li><li>
Integrate with external systems and APIs and manage data connections</li><li>
Implement automated testing</li><li>
Collaborate with stakeholders to define requirements and translate them into technical designs</li><li>
Troubleshoot, optimize, and monitor performance and data quality</li><li>
Lead code reviews; document solutions and follow best practices</li><li>
Other duties as assigned</li></ul></div><div></div><div><b><br>
Minimum Requirements</b></div><div><ul><li>
Active Secret Clearance required</li><li>
9+ years of data engineering experience, software development, or analytics engineering</li><li>
Demonstrated hands-on experience with Palantir Foundry (pipelines/transforms, data modeling/ontology concepts)</li><li>
Experience with data extraction and manipulation</li><li>
Proficiency in Python and SQL</li><li>
Proven experience building data pipelines and data models</li></ul></div><div></div><div><b><br>
Educational Requirements</b></div><div><ul><li>
Bachelor&rsquo;s degree in computer science, engineering, or related field</li></ul></div><p></p><p><b><br>
Compensation:</b></p><p>
$170,000-$180,000</p><p>
The compensation range listed for this position is provided as a good-faith estimate of what the company intends to offer for this role. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, budget, market data, and relevant laws.</p><p></p><div><br>
NCC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristic. E-Verify Employer. VEVRAA Federal Contractor.</div><div></div><div><br>
NCC provides reasonable accommodations to qualified individuals with disabilities. If you are an applicant that requires a reasonable accommodation, please email us at recruiting@nccsite.com. Please reference the position in your email.</div></div>

Foundry Developer II - Sr.

U.S. Office of Personnel Management

Spry Methods, Inc

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

Web Developer Security Engineer

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

Cybersecurity Engineer

Nelson Enterprise Technology Services

<p>Demonstrated ability to provide senior-level technical leadership and independent</p><p>operational support for enterprise Microsoft cloud environments, including Microsoft</p><p>365, Azure, and Microsoft Security platforms. This includes proof of currently</p><p>maintained Microsoft certifications in all related areas for a period no less than 5 years.</p><ul><li>Proven expertise in designing, implementing, operating, and optimizing Microsoft cloud</li></ul><p>services to ensure high availability, scalability, performance, and mission alignment.</p><ul><li>Ability to implement and maintain cloud security architectures aligned with NIST SP</li></ul><p>800-53, NIST SP 800-207 (Zero Trust Architecture), and FedRAMP Moderate</p><p>requirements, including continuous monitoring, risk mitigation, and security posture</p><p>management.</p><ul><li>Advanced ability to fully implement and manage a hybrid Active Directory Microsoft</li></ul><p>M365 and Entra environment implementing the tiered security standards defined by</p><p>Microsoft&rsquo;s security framework.</p><ul><li>Proven experience creating and managing all aspects of Windows, MacOS, and Apple</li></ul><p>iOS devices in Intune including compliance and policy delivery.</p><ul><li>Proven experience creating and managing Autopilot delivery of operating system images</li></ul><p>and use of policy and on-demand delivery of software using Intune for environments of at</p><p>least 700 endpoints.</p><ul><li>Practical experience locking down remote PowerShell access for administrative tasks in</li></ul><p>Entra and Azure across all related APIs to allow necessary administration including</p><p>headless Exchange Online mailbox provisioning, SharePoint custom user profile field</p><p>imports, and all Microsoft Graph related access.</p><ul><li>Advanced proficiency in identity and access management, including Microsoft Entra ID,</li></ul><p>Conditional Access, privileged access management, and least-privilege access models,</p><p>including the implementation and minimal impact transition between MFA providers,</p><p>implementation of 3rd party MFA as an Entra provider, and implementation of Smart</p><p>Card and FIDO based key authentication methods across Windows and MacOS systems.</p><ul><li>Experience managing and supporting collaboration and messaging services, including</li></ul><p>Exchange Online, Microsoft Teams, SharePoint Online, and related Microsoft 365</p><p>workloads.</p><ul><li>Capability to provide Azure infrastructure and application support, including cloud</li></ul><p>networking, workload configuration, maintenance, troubleshooting, and hybrid</p><p>integration where applicable.</p><ul><li>Hands-on experience configuring and managing Microsoft security platforms, including</li></ul><p>Defender, Sentinel, and Purview, to support threat protection, data governance,</p><p>information protection, and incident response readiness.</p><ul><li>Demonstrated ability to manage and configure data sources feeding into Microsoft</li></ul><p>Sentinel including ongoing health reporting and alerting on ingest log data quality.</p><ul><li>Ability to support and comply with formal change management processes, produce and</li></ul><p>maintain technical documentation, training materials, and contribute to standard</p><p>operating procedures.</p><ul><li>Demonstrated capacity to act as a senior technical advisor, collaborating with CBO</li></ul><p>engineering teams to resolve complex technical issues and support audits, assessments,</p><p>and compliance reviews.</p><ul><li>Ability to perform duties with minimal supervision, exercising sound independent</li></ul><p>judgment and technical authority in maintaining a secure, resilient, and compliant</p><p>Microsoft cloud environment.</p><ul><li>Implement automated reporting and dashboard creation using Power BI and other</li></ul><p>Microsoft tools. Reporting must include systems health monitoring, compliance reports,</p><p>current spend and forecasted spend reports, and utilization reports across all aspects of</p><p>CBO&rsquo;s Microsoft cloud infrastructure.</p><ul><li>Must have proven experience setting up spending budget configurations in Azure</li></ul><p>including alerting and reporting for potential overages against budgets that allow 90 days</p><p>lead time to allow CBO decision time for appropriate actions including either reduction</p><p>in usage to avoid overages or acquisition and allocation of increased fundin</p><p>Benefits:</p><ul><li>Flexible schedule</li></ul><p>Application Question(s):</p><ul><li>Availability for telephonic discussion </li></ul><p>Experience:</p><ul><li>Senior Microsoft Cloud Engineer: 5 years (Required)</li><li>Microsoft cloud , Azure: 5 years (Preferred)</li><li>NIST SP 800-53, NIST SP 800-207 : 5 years (Preferred)</li><li> Microsoft Security platforms: 5 years (Preferred)</li></ul><p>License/Certification:</p><ul><li>Microsoft 365 Certified: Administrator Expert (Preferred)</li><li>Cybersecurity Architect Expert (Preferred)</li><li>Azure Solutions Architect Expert (Preferred)</li><li> Endpoint Administrator Associate (Preferred)</li><li>Teams Administrator Associate (Preferred)</li><li>Information Security Administrator Associate (Preferred)</li><li>Windows Server Hybrid Administrator Associate (Preferred)</li><li>Identity and Access Administrator Associate (Preferred)</li></ul><p>Security clearance:</p><ul><li>Top Secret (Preferred)</li></ul><p>Work Location: On the road</p>

Senior Microsoft Cloud Engineer ( TS ) Remote

Explore 44+ Data engineer in Washington this June. Find roles across top companies and apply now to boost your career.

44 data engineer jobs In Washington

Senior Big Data Developer

Data Scientist

Foundry Developer II - Sr.

Data Scientist

Web Developer Security Engineer

Cybersecurity Engineer

Senior Microsoft Cloud Engineer ( TS ) Remote