analyst, technology operations Jobs in Washington

analyst, technology operations

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

associate data analyst, washington d.c.

data analyst intern

data engineer

data journalism fellow/associate fellow Jobs in Washington

data journalism fellow/associate fellow

data analytics technical expert

Pantheon Data

<div>Company Overview
Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies.
Position Overview
The Data Analytics Technical Expert provides executive-level analytics leadership, business intelligence expertise, and strategic guidance supporting enterprise analytics, performance management, and decision support capabilities.
Responsibilities<ul><li>
Lead analytics modernization initiatives.</li><li>
Direct business intelligence and data visualization efforts.</li><li>
Oversee performance measurement and reporting frameworks.</li><li>
Support project portfolio management and analytics governance.</li><li>
Conduct strategic analyses supporting mission objectives.</li><li>
Guide teams in the development of advanced reporting and dashboard solutions.</li><li>
Present findings to executive stakeholders.</li></ul>
Required Skills and Experience<ul><li>
Bachelor's degree in Engineering, Business, Data Analytics, or related field.</li><li>
CSPO, DHS Mid-Level Project Management Certification, or equivalent.</li><li>
10 years of relevant experience, or 5 years with a Master's degree.</li><li>
Ability to work effectively remotely in cross-functional teams.</li><li>
Ability to meet deadlines and produce quality work.</li><li>
Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint.</li></ul>
Clearance Requirements
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements. Ability to obtain Public Trust prior to hire and maintain during employment is required.
Work Location: Hybrid - USCG HQ (DHS St. Elizabeth's Campus in D.C.)<ul><li>
Hybrid work schedule with periodic onsite support.</li><li>
Our company prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.</li><li>
If the position is remote or hybrid, you may periodically work from a Pantheon Data office location or client site.</li><li>
If this position is assigned to a Pantheon Data office location or client site, you'll work with colleagues and clients in person, as needed for specific client requirements.</li></ul>
Compensation
The salary range for this position is $100,000 - $200,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Benefits Overview
We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity.In addition to our benefits, we also offer SmartBenefits through the Washington Metro Area Transportation Authority, where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at https://pantheon-data.com/careers/
Pantheon Data Important Information
All qualified applicants will be considered for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020.
This company uses E-Verify to confirm each employee's work authorization. For more information, click here E-Verify Participation Poster</div>

Data Analytics Technical Expert

Two Six Technologies

<div><div>At Two Six Technologies, we build, deploy, and implement innovative products that solve the world's most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what's possible to empower our team and support our customers in building a safer global future.</div>
Overview of Opportunity

Two Six Technologies is seeking a Principal Research Scientist to lead technical program delivery and drive business development in new R&amp;D projects in AI/ML, applied statistics, and advanced analytics. Applications may include grey zone conflict, economics, cybersecurity, cognitive modeling, counter-adversarial AI, and broader DoW challenges. A successful candidate will deliver technical excellence while identifying, pursuing and winning new work for the team to grow into. They will also steward existing projects and staff to successful delivery. Therefore, candidates with experience and customer relations in other domains are also strongly encouraged to apply.

We are a research and development focused group, looking for research leaders who are comfortable quickly developing innovative solutions for customer needs, as well as leading teams of PhDs, researchers, and engineers to innovate, develop and deliver transformative capabilities for National Security. Ideal candidates bring a critical and rigorous approach to research, modeling and analysis, have a strong understanding of the tradeoffs between different modeling approaches, can explain complex approaches clearly to technical and non-technical audiences, and bring a flexible and creative approach to innovating for highly technical customers.

The work will be onsite in our Arlington, Virginia office.

Responsibilities:
<ul>
<li>Perform as technical lead on interdisciplinary projects; mentor junior team members on both technical and non-technical skills</li>
<li>Serve as a technical expert in a variety of AI, statistical, and analytics methodologies on a variety of programs and proposals</li>
<li>Identify, shape, and propose to AI and advanced analytics programs, including building trusted relationships with sponsors, leading technical writing, and developing innovative solutions</li>
</ul>
Qualifications:
<ul>
<li>Prior experience in building out capabilities that could support grey zone conflict or economic statecraft</li>
<li>Building predictive machine learning models for time series data</li>
<li>Mastery of several different subfields and approaches within AI/ML and statistical analysis; demonstrated ability to reason over the tradeoffs when choosing modeling approaches</li>
<li>Demonstrated experience innovating with foundational model tools for rapid research acceleration</li>
<li>Ability to write and review R, Python, or SQL code; fluency and comfort with git, CI/CD practices</li>
<li>Experience in winning and delivering new R&amp;D programs while growing new capabilities in a team</li>
<li>Holds significant relationships with key personnel in DARPA, other DOD research agencies, and broader government or private-sector sponsors</li>
<li>Experience developing and writing solutions for customers in a wide range of domains and applications</li>
<li>Ability to collaborate across disciplines and business units to bring innovative AI and analytics solutions to support capabilities and needs across the organization</li>
<li>Ten or more years of professional experience in a CS, Mathematics, Statistics or related field</li>
<li>Experience leading both AI / analytics researchers (including PhDs), practitioners, and software engineers on government contracts</li>
<li>Experience in project planning, agile development, and a variety of sprint management methods</li>
<li>Strong and flexible communication that adapts to the specific needs of the audience</li>
<li>Works well in and fosters a culture of respect, curiosity, humility and excellence\</li>
<li>Active Top Secret with SCI-eligible security clearance</li>
</ul>
Nice to haves:
<ul>
<li>Advanced degree and/ or publications in CS, Mathematics, Statistics or related field</li>
<li>Experience working with ISR data and maritime track data</li>
<li>Experience integrating with Maven Smart System</li>
<li>Intellectual curiosity across multiple domains and demonstrated success applying analytics to novel mission areas</li>
<li>Active TS/SCI</li>
</ul>
Clearance Requirements:
<ul>
<li>Active Top Secret / SCI-eligible security clearance</li>
</ul>
#LI-MS1

#onsite<div><div><div> 

Looking for other great opportunities? Check out Two Six Technologies Opportunities for all our Company's current openings!

Ready to make the first move towards growing your career? If so, check out the Two Six Technologies Candidate Journey! This will give you step-by-step directions on applying, what to expect during the application process, information about our rich benefits and perks along with our most frequently asked questions. If you are undecided and would like to learn more about us and how we are contributing to essential missions, check out our Two Six Technologies News page! We share information about the tech world around us and how we are making an impact! Still have questions, no worries! You can reach us at Contact Two Six Technologies. We are happy to connect and cover the information needed to assist you in reaching your next career milestone.

Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law. For more information review the Two Six Technologies Equal Employment Opportunity and Affirmative Action Policy and the EEO Poster.

If you are an individual with a disability and would like to request reasonable workplace accommodation for any part of our employment process, please send an email to accommodations@twosixtech.com. Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

Additionally, please be advised that this business uses E-Verify in its hiring practices.

By submitting the following application, I hereby certify that to the best of my knowledge, the information provided is true and accurate.</div></div></div></div>

Principal Research Scientist - AI/ML, Applied Statistics & Advanced Analytics

VERSA Integrated Solutions

Position: AI/ML EngineerLocation: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)Employment Type: Full-TimeSalary: Commensurate with ExperienceAbout VERSA Integrated SolutionsVERSA Integrated Solutions is a premier provider of Information Technology, Artificial Intelligence, Cybersecurity, Cloud, Data Analytics, and Engineering services supporting Federal Government agencies. We help agencies modernize operations through innovative technologies, secure architectures, and mission-driven solutions. Our teams work on high-impact initiatives that improve decision-making, operational efficiency, and citizen services.Position SummaryVERSA Integrated Solutions is seeking an experienced AI/ML Engineer to design, develop, deploy, and maintain Artificial Intelligence (AI) and Machine Learning (ML) solutions supporting Federal Government customers. The successful candidate will work closely with data scientists, software engineers, cloud architects, cybersecurity professionals, and business stakeholders to build intelligent applications that leverage predictive analytics, machine learning, generative AI, and large language models (LLMs).The AI/ML Engineer will support the full lifecycle of AI solutions&mdash;from data preparation and model development to deployment, monitoring, optimization, and governance&mdash;while ensuring compliance with federal security, privacy, and Responsible AI requirements.Position ObjectivesThe AI/ML Engineer will:<ul><li>Design and implement scalable AI and ML solutions.&bull; Build and optimize machine learning models for structured and unstructured data.&bull; Develop data pipelines to support AI workloads.&bull; Integrate AI capabilities into enterprise applications.&bull; Ensure AI solutions comply with federal security, privacy, and governance requirements.&bull; Collaborate with cross-functional teams to deliver mission-focused outcomes.</li></ul>Major Duties &amp; ResponsibilitiesAI &amp; Machine Learning Development<ul><li>Design, develop, train, test, and deploy machine learning models.&bull; Build supervised, unsupervised, reinforcement learning, and deep learning solutions.&bull; Develop predictive analytics and classification models.&bull; Optimize model performance and accuracy through feature engineering and hyperparameter tuning.&bull; Build reusable AI components and services.</li></ul>Generative AI &amp; Large Language Models<ul><li>Develop solutions using Large Language Models (LLMs).&bull; Implement Retrieval-Augmented Generation (RAG) architectures.&bull; Engineer prompts and fine-tune models where appropriate.&bull; Evaluate AI model outputs for accuracy, explainability, and bias.&bull; Support secure deployment of generative AI capabilities.</li></ul>Data Engineering &amp; Preparation<ul><li>Build and maintain data ingestion and transformation pipelines.&bull; Clean, normalize, and prepare structured and unstructured datasets.&bull; Collaborate with Data Engineers to optimize data availability and quality.&bull; Implement feature stores and model-ready datasets.</li></ul>MLOps &amp; Model Lifecycle Management<ul><li>Automate model training, testing, deployment, and monitoring.&bull; Develop CI/CD pipelines for machine learning solutions.&bull; Monitor model drift, performance degradation, and retraining needs.&bull; Maintain version control for models, datasets, and code.</li></ul>Responsible AI &amp; Governance<ul><li>Implement Responsible AI principles including fairness, transparency, explainability, and accountability.&bull; Ensure compliance with NIST AI Risk Management Framework, Executive Orders, and agency-specific AI policies.&bull; Document AI models, assumptions, limitations, and validation results.</li></ul>Collaboration &amp; Innovation<ul><li>Partner with software developers, cloud engineers, and business analysts to integrate AI into enterprise solutions.&bull; Present technical findings and recommendations to stakeholders.&bull; Evaluate emerging AI technologies and recommend improvements.</li></ul>Required Technical Skills<ul><li>Python&bull; SQL&bull; TensorFlow&bull; PyTorch&bull; Scikit-learn&bull; Pandas&bull; NumPy&bull; Hugging Face Transformers&bull; LangChain or similar orchestration frameworks&bull; Azure AI Services or Azure Machine Learning&bull; AWS SageMaker (preferred)&bull; Git/GitHub&bull; Docker&bull; Kubernetes&bull; RESTful APIs</li></ul>Preferred Skills<ul><li>Experience with Retrieval-Augmented Generation (RAG)&bull; Prompt engineering for LLMs&bull; Vector databases (e.g., Pinecone, Azure AI Search)&bull; Knowledge graph integration&bull; Natural Language Processing (NLP)&bull; Computer Vision&bull; Time-series forecasting&bull; Knowledge of FedRAMP and Zero Trust environments</li></ul>Required Qualifications<ul><li>Strong analytical and problem-solving skills.&bull; Excellent written and verbal communication skills.&bull; Ability to translate business requirements into AI-driven technical solutions.&bull; Experience working in Agile/DevSecOps environments.&bull; Experience supporting federal government customers is highly desirable.</li></ul>EducationBachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics, Statistics, or a related field. A Master's degree is preferred. Equivalent experience may be substituted for education.Experience LevelsJunior (0&ndash;4 Years)<ul><li>Experience with Python and machine learning fundamentals.&bull; Exposure to cloud platforms and data science tools.&bull; Participation in AI/ML projects through coursework, internships, or professional experience.</li></ul>Intermediate (5&ndash;9 Years)<ul><li>Development and deployment of production AI/ML models.&bull; Experience with MLOps pipelines and cloud AI services.&bull; Collaboration with cross-functional software development teams.</li></ul>Senior (10&ndash;14 Years)<ul><li>Leadership in designing enterprise AI solutions.&bull; Expertise in generative AI, LLMs, and Responsible AI practices.&bull; Experience mentoring junior engineers and leading technical initiatives.</li></ul>Subject Matter Expert (15+ Years)<ul><li>Recognized authority in enterprise AI strategy and implementation.&bull; Experience shaping AI governance and modernization initiatives for large organizations.&bull; Trusted advisor to executive leadership on AI adoption and emerging technologies.</li></ul>Preferred Certifications<ul><li>Microsoft Certified: Azure AI Engineer Associate&bull; Microsoft Certified: Azure Data Scientist Associate&bull; AWS Certified Machine Learning &ndash; Specialty&bull; Google Professional Machine Learning Engineer&bull; TensorFlow Developer Certificate&bull; Databricks Certified Machine Learning Professional&bull; ITIL&reg; 4 Foundation (preferred)</li></ul>Desired Federal ExperienceExperience supporting one or more of the following agencies is highly desirable:<ul><li>U.S. Census Bureau&bull; National Institutes of Health (NIH)&bull; Centers for Medicare &amp; Medicaid Services (CMS)&bull; Department of Commerce&bull; Department of Homeland Security (DHS)&bull; Department of Defense (DoD)&bull; Department of Labor (DOL)</li></ul>Security Clearance<ul><li>Ability to obtain and maintain a Public Trust or higherclearance, depending on customer requirements.</li></ul>Work Environment<ul><li>Hybrid or onsite within the Washington, DC Metro Area based on customer requirements.&bull; Collaborative, fast-paced environment supporting mission-critical federal AI initiatives.&bull; Occasional travel to customer sites may be required.</li></ul>Why Join VERSA?At VERSA, you'll work alongside experts delivering innovative AI solutions that help federal agencies solve complex mission challenges. We invest in continuous learning, professional certifications, and opportunities to work with cutting-edge technologies, including machine learning, generative AI, cloud platforms, and advanced analytics.Equal Employment OpportunityVERSA Integrated Solutions is an Equal Opportunity Employer. We are committed to creating an inclusive workplace where all employees are respected, valued, and empowered to succeed. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by applicable law.Pay: $118,467.98 - $142,671.13 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Retirement plan</li></ul>Work Location: Hybrid remote in Washington, DC 20591

Software Engineer - Data, AI/ML & Analytics

TLN Worldwide Enterprises Inc

<div>Description:

The CG Business Intelligence Systems Technical Training Specialist provides training, outreach, instructional design, and user support services in support of the U.S. Coast Guard's Business Intelligence Systems Program. This position is responsible for developing and delivering training programs, supporting end users, creating instructional materials, and promoting adoption of Coast Guard business intelligence, reporting, analytics, and data visualization tools throughout the organization.
The Specialist works directly with military and civilian personnel at all levels of the Coast Guard, providing technical instruction, system support, communications assistance, and outreach activities that improve user proficiency and enhance mission effectiveness through data-driven decision making.
The position requires independent performance of assigned duties, strong communication and presentation skills, and the flexibility to support a demanding nationwide travel schedule.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
Technical Training Delivery</h3><ul><li>
Deliver instructor-led classroom training, virtual training sessions, workshops, webinars, and one-on-one support related to Coast Guard Business Intelligence Systems.</li><li>
Provide functional and technical instruction on business intelligence tools, reporting platforms, analytics capabilities, and data visualization solutions.</li><li>
Conduct targeted virtual support sessions using approved Coast Guard collaboration tools, including Microsoft Teams.</li><li>
Adapt training delivery methods to meet the needs of diverse user groups and mission requirements.</li></ul><h3 class="jobSectionHeader">
User Support &amp; Outreach</h3><ul><li>
Provide direct support to Coast Guard personnel utilizing business intelligence systems and reporting tools.</li><li>
Assist users with troubleshooting system issues, understanding functionality, and maximizing system capabilities.</li><li>
Participate in outreach activities designed to increase awareness, adoption, and effective utilization of Coast Guard Business Intelligence Systems.</li><li>
Support stakeholder engagement efforts across Coast Guard operational and support commands.</li></ul><h3 class="jobSectionHeader">
Curriculum Development &amp; Instructional Design</h3><ul><li>
Develop, update, and maintain training materials using the Instructional Systems Design (ISD) model.</li><li>
Create and maintain:
<ul><li>Student guides</li>
<li>Instructor lesson plans</li>
<li>Job aids</li>
<li>Quick reference guides</li>
<li>Training presentations</li>
<li>Standard operating procedures</li>
<li>User support documentation</li>
</ul></li><li>Ensure all instructional materials remain current and aligned with system updates and organizational requirements.</li></ul><h3 class="jobSectionHeader">
Data Visualization &amp; Analytics Support</h3><ul><li>
Develop educational materials supporting enterprise data visualization and analytics initiatives.</li><li>
Assist users in understanding and applying business intelligence concepts, dashboards, reports, and performance metrics.</li><li>
Promote best practices for data analysis, reporting, and information sharing.</li><li>
Support training efforts related to Coast Guard analytics and reporting platforms.</li></ul><h3 class="jobSectionHeader">
Communications &amp; Knowledge Management</h3><ul><li>
Assist with development and maintenance of communications materials supporting Business Intelligence Systems initiatives.</li><li>
Support management of SharePoint content, training resources, and outreach materials.</li><li>
Participate in meetings, working groups, demonstrations, and stakeholder engagement events.</li><li>
Prepare meeting summaries, recommendations, and supporting documentation when required.</li></ul><h3 class="jobSectionHeader">
Travel &amp; Field Support</h3><ul><li>
Travel extensively to Coast Guard locations nationwide to conduct training and outreach activities.</li><li>
Coordinate and support on-site workshops, classroom instruction, and user engagement sessions.</li><li>
Maintain flexibility to support changing travel schedules and operational requirements.</li><li>
Represent the Coast Guard Business Intelligence Systems Program in a professional manner during field engagements.</li></ul>
Requirements:
<ul><li>Bachelor's degree from an accredited college or university.</li><li>
Minimum three (3) years of professional experience.</li><li>
Experience in training, public speaking, classroom instruction, facilitation, or teaching.</li><li>
Demonstrated ability to independently perform all assigned duties and responsibilities.</li><li>
Experience interacting with customers, stakeholders, or users in a professional environment.</li></ul><h2 class="jobSectionHeader">
Required Skills</h2><ul><li>
Strong public speaking and presentation skills.</li><li>
Excellent verbal and written communication abilities.</li><li>
Strong analytical and problem-solving skills.</li><li>
Ability to communicate effectively with all levels of military and civilian personnel.</li><li>
Proficiency with Microsoft Office Suite, including:
<ul><li>Microsoft Word</li>
<li>Microsoft Excel</li>
<li>Microsoft PowerPoint</li>
<li>Microsoft Outlook</li>
<li>Microsoft Teams</li>
</ul></li><li>Strong organizational and time-management skills.</li><li>
Ability to manage multiple projects and priorities simultaneously.</li><li>
Flexibility to support a dynamic and demanding travel schedule.</li><li>
Ability to work independently with minimal supervision.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience supporting U.S. Coast Guard, Department of Homeland Security, Department of Defense, or other federal agencies.</li><li>
Familiarity with business intelligence, reporting, analytics, and data visualization platforms.</li><li>
Experience with IBM Cognos, Qlik, Power BI, Tableau, or similar technologies.</li><li>
Experience developing training curricula and instructional materials.</li><li>
Familiarity with SharePoint and enterprise collaboration tools.</li><li>
Experience supporting organizational change management, user adoption initiatives, or enterprise software implementations.</li></ul></div>

Technical Training Specialist – Business Intelligence Systems - US Coast Guard

Fustis LLC

<div>Job Title:
Senior Big Data Developer
Location:
Washington, DC - Hybrid - Locals
Duration:
12 Months
Work Authorisation:
USC, GC, GC-EAD and H4-EAD
Pay Rate:
90-100/hr. on C2C
Mode of Interview:
Virtual 
<h2 class="jobSectionHeader"> 
Position Overview</h2>
The Data Architecture, Technology, and Analytics (DATA) 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.
We are seeking a highly skilled Data Architect / Data Engineer 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.
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.
Key Responsibilities
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. Required Qualifications
Education
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. Experience
Minimum 7+ years of experience in Data Engineering, Data Architecture, Database Engineering, or related fields. Proven experience designing and implementing enterprise data platforms and large-scale data solutions. Required Technical Skills
Data Engineering &amp; Architecture
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. Databases
Advanced SQL expertise. Hands-on experience with: PostgreSQL Microsoft SQL Server MySQL Experience with database administration, optimization, and performance tuning. Programming &amp; Scripting
Advanced proficiency in: Python R Strong scripting and automation experience. Experience with additional programming languages such as: Java Scala JavaScript Perl ETL/ELT &amp; Workflow Automation
Experience designing and automating ETL/ELT processes. Hands-on experience with workflow orchestration tools such as: Apache Airflow Prefect Dagster AWS Step Functions Cloud &amp; Modern Data Platforms
Experience working with: AWS Microsoft Azure Snowflake Experience migrating applications and data pipelines between on-premises and cloud environments. DevOps &amp; DataOps
Experience implementing and maintaining: CI/CD pipelines DataOps frameworks Experience with Git-based source control platforms: GitHub GitLab Big Data &amp; Analytics
Experience with: Distributed computing frameworks Large-scale data processing systems High-volume data workloads Experience processing structured and unstructured datasets. Linux &amp; Infrastructure
Strong development and deployment experience in Linux environments. Preferred Qualifications
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. Soft Skills
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>

Senior Big Data Developer

Position: Data EngineerDepartment: Federal ProgramsLocation: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)Employment Type: Full-TimeSalary: Commensurate with ExperienceAbout VERSA Integrated SolutionsVERSA Integrated Solutions delivers innovative Cloud, Data, Artificial Intelligence, Cybersecurity, and Enterprise IT solutions to Federal Government agencies. We help agencies modernize mission-critical systems by implementing secure, scalable, cloud-native technologies that enable advanced analytics, operational excellence, and data-driven decision making.Position SummaryVERSA Integrated Solutions is seeking a highly motivated Data Engineer to design, build, optimize, and maintain enterprise data platforms supporting Federal Government customers. The Data Engineer develops robust ETL/ELT pipelines, cloud-based data integration solutions, and enterprise data repositories that support business intelligence, artificial intelligence, reporting, and operational analytics.The successful candidate will collaborate closely with Data Architects, AI/ML Engineers, Database Administrators, Software Developers, Cloud Engineers, and Business Analysts to ensure high-quality, secure, and scalable data solutions.Position ObjectivesThe Data Engineer will:<ul><li>Design enterprise data pipelines.&bull; Integrate structured and unstructured data sources.&bull; Support cloud data modernization initiatives.&bull; Improve enterprise data quality.&bull; Enable analytics and AI initiatives.&bull; Automate data processing workflows.</li></ul>Major Duties &amp; ResponsibilitiesData Pipeline Development<ul><li>Design, develop, and maintain scalable ETL/ELT pipelines.&bull; Integrate internal and external data sources.&bull; Automate ingestion, transformation, and validation processes.&bull; Optimize data movement across enterprise platforms.&bull; Monitor pipeline performance and reliability.</li></ul>Cloud Data EngineeringSupport enterprise cloud platforms including:<ul><li>Azure Data Factory&bull; Azure Synapse Analytics&bull; Azure Data Lake&bull; Microsoft Fabric&bull; AWS Glue&bull; AWS Redshift&bull; Databricks</li></ul>Develop cloud-native data integration solutions supporting modernization initiatives.Data Integration<ul><li>Develop APIs supporting enterprise integrations.&bull; Process structured, semi-structured, and unstructured data.&bull; Build real-time and batch processing solutions.&bull; Support streaming technologies such as Apache Kafka and Azure Event Hub.</li></ul>Data Quality<ul><li>Validate incoming datasets.&bull; Develop automated quality checks.&bull; Monitor completeness and accuracy.&bull; Resolve data anomalies.&bull; Implement data lineage and audit capabilities.</li></ul>Analytics SupportProvide data services supporting:<ul><li>Power BI&bull; Tableau&bull; AI/ML models&bull; Executive dashboards&bull; Predictive analytics&bull; Operational reporting</li></ul>DevSecOpsCollaborate with engineering teams to:<ul><li>Automate deployments&bull; Implement Infrastructure as Code&bull; Support CI/CD pipelines&bull; Improve monitoring and observability&bull; Secure enterprise data environments</li></ul>Required Technical SkillsLanguages<ul><li>Python&bull; SQL&bull; Spark&bull; PySpark&bull; PowerShell</li></ul>Cloud<ul><li>Azure&bull; Azure Data Factory&bull; Azure Synapse&bull; Azure SQL&bull; Azure Storage&bull; Microsoft Fabric</li></ul>Databases<ul><li>SQL Server&bull; PostgreSQL&bull; Oracle&bull; Snowflake&bull; Databricks</li></ul>Tools<ul><li>Git&bull; GitHub&bull; Azure DevOps&bull; Terraform&bull; Docker&bull; Kubernetes</li></ul>Preferred Skills<ul><li>Apache Kafka&bull; Azure Event Hub&bull; REST APIs&bull; JSON/XML&bull; Delta Lake&bull; Data Lakehouse Architecture&bull; AI data preparation&bull; MLOps</li></ul>EducationBachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or a related discipline.Experience LevelsJunior (0&ndash;4 Years)<ul><li>SQL development&bull; Python programming&bull; ETL fundamentals&bull; Database experience</li></ul>Intermediate (5&ndash;9 Years)<ul><li>Cloud data engineering&bull; Azure or AWS experience&bull; Production ETL development&bull; API integration</li></ul>Senior (10&ndash;14 Years)<ul><li>Enterprise cloud modernization&bull; Data platform leadership&bull; Performance optimization&bull; Mentoring junior engineers</li></ul>SME (15+ Years)<ul><li>Enterprise Data Engineering strategy&bull; Federal modernization leadership&bull; AI-enabled data platforms&bull; Large-scale cloud migration</li></ul>Preferred Certifications<ul><li>Microsoft Certified: Azure Data Engineer Associate&bull; Databricks Certified Data Engineer&bull; AWS Certified Data Engineer&bull; SnowPro Core&bull; ITIL&reg; Foundation</li></ul>Desired Federal ExperienceExperience supporting NIH, CMS, Census Bureau, Commerce, DHS, DOD, or other Federal agencies is highly desirable.Security ClearanceAbility to obtain and maintain a Public Trust or higher clearance, depending on customer requirements.Why Join VERSA?Join a team building modern data platforms that enable Federal agencies to leverage artificial intelligence, cloud computing, and enterprise analytics to accomplish mission objectives.Equal Employment OpportunityVERSA Integrated Solutions is an Equal Opportunity Employer committed to diversity, inclusion, and equal opportunity for all qualified applicants.Pay: $120,000.00 - $150,000.00 per yearBenefits:<ul><li>401(k) matching</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Work Location: Hybrid remote in Washington, DC 20591

Data Engineer

Protagonist

<div><div><h2 class="jobSectionHeader">Join Our Talented Team at Protagonist</h2>

We fuse rigorous, methodologically sound analysis with our cutting-edge technology platform, Narrative Analytics&reg;. This powerful combination enables us to quantitatively analyze open-source media, deliver strategic recommendations, and craft executive-level communication strategies for clients with missions that matter.
<h2 class="jobSectionHeader">
Why Us?</h2>

Our team is a vibrant mix of communication specialists, data scientists, and subject matter experts with extensive experience across U.S. Government agencies, non-profit organizations, and Fortune 500 companies. By joining Protagonist, you'll immerse yourself in a collaborative environment where innovation thrives, and your contributions truly matter.
<h2 class="jobSectionHeader">
What We Do</h2>
<ul><li>Innovative Solutions: We co-develop cutting-edge solutions with our clients to address tough communication problems and capitalize on opportunities to make a tangible impact.</li>
<li>Data-Driven Insights: Our tools and methodologies provide actionable insights that help clients meet their communication objectives and stay ahead of global challenges.</li>
<li>Applied Expertise: We integrate our solutions within client organizations, leveraging our profound expertise to address critical issues and ensure sustainable success.</li>
</ul><h2 class="jobSectionHeader">Be Part of Something Bigger</h2>

At Protagonist, you'll work on compelling projects that make a real difference. We seek talented individuals eager to contribute to our mission and grow alongside us. If you're passionate about communication, data analysis, and making an impact, we invite you to explore a career with Protagonist.
<h2 class="jobSectionHeader">
Explore Your Future with Us!</h2>

Ready to take the next step in your career? Join us at Protagonist and be part of a team that's making a difference.</div>
Washington, DC | Full-Time | Hybrid
<h2 class="jobSectionHeader">
Job Description</h2>

In this role, you'll apply data science and analytic methods directly to projects, turning large, often unstructured datasets into findings that teams and clients can act on. Our work lives at the intersection of data science and social science: we pair computational techniques with an understanding of the social, political, and information dynamics behind the data. This is a multi-hatted role. You'll help lead our internal data efforts, stay hands-on with analysis and client delivery, and partner with the product team to shape Narrative Analytics&trade;, the platform our analysts use every day. Whether you come from a social science research background, a product-and-analytics path, or a more technical track, what matters most is that you can take messy, real-world data and make it useful to our internal team and end customers.
<h2 class="jobSectionHeader">
Responsibilities</h2>
<ul><li>Lead our data efforts
<ul><li>Guide internal data science work: shape the approach, hold quality high, and keep analysis reproducible and defensible.</li>
<li>Design and apply classification models, clustering, and other ML/AI approaches to surface insight from large, unstructured datasets.</li>
<li>Translate qualitative research questions into structured analytical workflows.</li>
</ul></li><li>Build AI-powered analytical workflows
<ul><li>Design prompts, LLM chains, and agentic workflows that automate classification, thematic coding, entity extraction, and summarization at scale.</li>
<li>Build and evaluate repeatable analytical products with real quality controls and human-in-the-loop checks.</li>
<li>Experiment with emerging techniques (RAG, multi-step reasoning, tool-using agents) to extend what we can deliver.</li>
</ul></li><li>Make data usable and clear
<ul><li>Handle complex cleaning, transformation, and wrangling so the data stays trustworthy.</li>
<li>Build dashboards and visualizations (Tableau, Superset, or similar) that make insight clear to clients and colleagues alike.</li>
<li>Turn findings into actionable recommendations and present them directly to clients with clarity and confidence.</li>
</ul></li><li>Shape the product and work across streams
<ul><li>Work hand in hand with the product team to shape Narrative Analytics&trade; around what users actually need, bringing the analyst's and client's perspective into product design.</li>
<li>Collaborate across analytics, product, and client teams so the work fits together and reaches the people who depend on it.</li>
<li>Mentor junior analysts and interns and contribute technical sections to proposals and white papers.</li>
</ul></li></ul><h2 class="jobSectionHeader">Requirements</h2>
<ul><li>Must be eligible to work on US Government contracts.</li>
<li>A degree in a quantitative or analytical field (data science, computer science, statistics, computational social science, political science, economics, communications, or a related discipline), or equivalent hands-on experience.</li>
<li>5+ years of relevant experience with a bachelor's (or 3+ with an advanced degree), including at least 2 years focused on data science with a track record of real impact.</li>
<li>Hands-on experience working with text-as-data: media, social media, or open-source text corpora.</li>
<li>Working proficiency in Python and/or R, plus solid SQL for pulling, transforming, and validating data.</li>
<li>Familiarity with core NLP and ML methods (text classification, topic modeling, sentiment and stance detection, embeddings, transformers) and with applying LLMs in real workflows (prompt engineering, structured outputs, integration).</li>
<li>The ability to explain technical work to non-technical audiences and to thrive in a fast-paced, collaborative team.</li>
</ul><h2 class="jobSectionHeader">Ideal Candidates</h2>
<ul><li>Existing security clearance (SECRET or higher) a plus</li>
<li>Experience designing structured content analysis or analytical frameworks for text data.</li>
<li>Experience in information environment assessment, strategic communication analysis, or media landscape monitoring.</li>
<li>Experience shaping analytical tools or platforms around real user needs.</li>
<li>Experience with computational social science methods (network analysis, narrative framing, document similarity) that go beyond keyword search.</li>
<li>Experience translating social science research questions into scalable computational approaches.</li>
</ul><h2 class="jobSectionHeader">Additional Information</h2>

If you're passionate about technology and making an impact, apply today! Protagonist is dedicated to fostering a welcoming and innovative environment where everyone's voice can make a difference.

Protagonist is an Equal Opportunity Employer.

Salary Range: $82,216-$129,885 based on education and level of relevant experience.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</div>

Senior Computational Social Scientist

Explore 138+ Data analytics technical expert in Washington this July. Find roles across top companies and apply now to boost your career.