Data Scientist - Python, Jupyter, Spark (2026-0177) Acclaim Technical ServicesData Scientist - Python, Jupyter, Spark (2026-0177)Annapolis Junction, MD$180,000–$200,000 / yearphysics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.
Lead Business Data Analyst- Capital Markets ConsultNetLead Business Data Analyst- Capital MarketsRockville, MDThe ideal candidate combines strong business analysis skills with hands-on technical expertise in SQL, Python, and large-scale data analysis, while maintaining a deep curiosity about market structure, surveillance methodologies, and regulatory frameworks. We are seeking a highly analytical and technically skilled Lead Business Analyst to support the design, enhancement, and validation of automated market surveillance systems used to identify potential violations of regulatory rules and market conduct requirements.
Data Integration Engineer Novul SolutionsData Integration EngineerFort George G Meade, MarylandThis role focuses on building and maintaining data pipelines, integrating distributed data sources, supporting Kafka and Elastic platform workflows, and enabling advanced data correlation and visualization. The ideal candidate will have experience in software or data engineering, ETL pipeline development, Kafka or Elastic integrations, Kibana dashboarding, and Agile team collaboration.
NewSenior Data Engineer - Homes.com - Arlington, VA CoStar GroupSenior Data Engineer - Homes.com - Arlington, VAArlington, VirginiaCoStar is investing heavily in artificial intelligence to accelerate software delivery, improve platform observability, automate research and business workflows, enhance product experiences through intelligent agents and skills, and improve data quality across enterprise systems. You will be part of various aspects of our data management, ranging from designing and maintaining automated data infrastructure and delivering Data engineering and Analytics solutions to facilitating data access and analysis for key company teams.
Aver Careers - Data Scientist AVER LLCAver Careers - Data ScientistWashington, DCAVER is seeking a Data Scientist with strong experience in advanced analytics, automation, and Artificial Intelligence/Machine Learning (AI/ML) to develop innovative solutions that enhance data-driven insights, pattern discovery, and operational efficiency. The Data Scientist will collaborate with technical teams, data engineers, leadership, and other stakeholders to modernize data handling, automate analytical processes, improve data quality, and develop scalable analytical solutions.
Senior Software Engineer (Big Data) KDA Consulting IncSenior Software Engineer (Big Data)McLean, VAThe ideal candidate will bring a strong mix of full stack engineering capabilities and data-intensive application experience , with the ability to operate in a fast-paced, highly collaborative environment. KDA Consulting Inc. is seeking a highly skilled Full Stack Developer with Big Data expertise to support mission-critical programs within the Intelligence Community (IC).
AWS Cloud Data Engineer System OneAWS Cloud Data EngineerMcLean, VARemotePartner with AWS Cloud DBAs and cross-functional teams to migrate data from legacy applications to AWS while ensuring performance, reliability, and security. Bachelor’s degree in Computer Science, Data Engineering, or a related field; four additional years of relevant experience may be substituted for a degree.
Data Warehouse Subject Matter Expert (SME) Nationwide IT ServicesData Warehouse Subject Matter Expert (SME)Arlington, VAUtilize tools such as SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS), Power BI, and ADO to deliver data integration, reporting, and analytics solutions. The SME supports enterprise data initiatives by applying best practices in database architecture, ETL/ELT processes, analytics, and Agile delivery to ensure scalable, high-performing, and reliable data solutions.
Enterprise Data Engineer GRVTYEnterprise Data EngineerChantilly, VA$150,000–$200,000 / yearThe successful Enterprise Data Engineer must be a skilled and detail-oriented professional with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured data from various sources. Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
Senior Data Engineer Team VelocitySenior Data EngineerRemote, Continental U.S., VARemote$150,000–$180,000 / yearThis individual will partner with Product, Engineering, Business Intelligence, Data Science, and business stakeholders to deliver scalable data solutions that support operational, analytical, and AI-driven initiatives. We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers analytics, business intelligence, machine learning, and customer-facing products across our organization.
Data Scientist 3 GrvtyData Scientist 3Annapolis Junction, Maryland$155,000–$185,000 / yearphysics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.
Data Platform Engineer, AI & Personalization (Remote, East Coast) P3HiredData Platform Engineer, AI & Personalization (Remote, East Coast)Arlington, VirginiaRemoteYou will work at the intersection of data engineering, system performance optimization, and client-facing technical operations, ensuring that our AI personalization solution runs reliably in production and delivers measurable value. In this role, you will sit at the heart of our platform building, optimizing, and supporting data systems that deliver high performance, real time personalization for enterprise clients.
Data Scientist 2 GrvtyData Scientist 2Annapolis Junction, MarylandRelevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g.
Data Scientist Sr. Manager - Consumer Markets PwCData Scientist Sr. Manager - Consumer MarketsWashington, DC$91,000–$321,500 / yearPreference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy .
SAP Data Conversion, Transformation Senior Consultant DeloitteSAP Data Conversion, Transformation Senior ConsultantRosslyn, VA$91,100–$179,500 / yearJoin our team of strategic advisers and architects, differentiated by our industry depth to collaborate with leading solution providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable heart-of-the-business solutions. As a Senior Consultant, Functional Transformation on the SAP business transformation services team, you will be responsible for: Support end-to-end SAP S/4HANA data migration activities, including data profiling, cleansing, mapping, transformation, conversion, and validation.
Data Engineer VTGData EngineerChantilly, VirginiaFull timeThe ideal candidate will have strong expertise in data integration, ETL/ELT processes, and cloud-based data platforms, with a focus on delivering high-quality, reliable data solutions that support analytics and business decision-making. Overview: VTG is seeking a skilled Data Engineer with at least 5 years of experience designing, building, and maintaining scalable data pipelines and architectures.
Data Architect AnalyticaData ArchitectWashington, DCThe Data Architect will play a hands-on role in modernizing data environments, leveraging cloud-native technologies, Databricks, and advanced data engineering frameworks to ensure scalable, secure, and high-performing solutions. This role requires strong expertise in cloud platforms (AWS, Azure, GCP), big data ecosystems, and modern data architecture patterns , along with an ability to translate mission needs into technical solutions.
Analytics Data Engineer Corner AllianceAnalytics Data EngineerWashington, DC$100,000–$120,000 / yearLeverage advanced analytics (such as LLMs and Artificial Intelligence) to analyze unstructured program data to reduce the burden of manual review of post-award submissions, enhance ability to identify instances of fraud, waste, and abuse, and inform decision-making for effective management of project implementation. We're looking for someone who is coachable, unflappable in navigating challenges, resourceful in learning new skills, innovative in challenging the status quo, excellent in writing, analytical in thinking, skilled in prioritization, and a rapport builder with clients and colleagues.
Systems Architect - Data Science & Advanced Analytics AnalyticaSystems Architect - Data Science & Advanced AnalyticsBethesda, MDFull timeThis role serves as the lead architect for data science initiatives, responsible for developing scalable analytics environments, machine learning solutions, and enterprise data architectures with a strong emphasis on Databricks , Apache Spark , and modern cloud-based data platforms. The ideal candidate will work closely with data scientists, data engineers, business stakeholders, and technical leadership to develop innovative analytics solutions that transform complex data into actionable insights.
Data Engineer ATR, LLCData EngineerChantilly, Virginia$180,000–$200,000 / yearFull timeRapid Integration Framework: Architect the Python codebase around inheritable, source-agnostic base classes that drastically simplify and accelerate onboarding of new data sources. Performance Enhancement: Achieve a dramatic reduction in data processing times through thread optimization and migration to Python, significantly improving data load efficiency.