EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Director
Ernst & Young Oman 4.7
Data scientist job in McLean, VA
Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
EY-Parthenon - EY Growth Platforms - DataScientist - Director
The opportunity
EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity.
With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence.
Within the EY-Parthenon service line, the EY Growth Platforms DataScientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients.
Your key responsibilities
The EY Growth Platforms DataScientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands-on experience solving some of the most interesting and mission-critical business questions with data.
Skills and attributes for success
· Lead ingestion and ETL design for structured and semi-structured data (CSV, JSON, APIs, Flat Files).
· Understand schema, data quality, and transformation logic for multiple sources on a client-by-client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs.
· Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data).
· Build data access layers optimized for ML (feature stores, event streams, vector stores).
· Define and enforce standards for data provenance, quality checks, logging, and version control.
· Partner with AI/ML and Platform teams to ensure data is ML- and privacy-ready (HIPAA, SOC2, etc.).
To qualify for the role you must have
· A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
· Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management.
· Expertise in cloud-native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake).
· Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt).
· Experience with merging and reconciling third-party data (public APIs, vendor flat files, dashboards).
· Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use.
· Basic understanding of ML/feature pipelines and downstream modeling needs.
· The ability and willingness to travel and work in excess of standard hours when necessary.
Ideally, you will have
· Experience working in a startup and/or management/strategy consulting.
· Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.
· Collaborative, problem-solving, and growth-oriented mindset.
What we look for
We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
What we offer you
At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at **************************.
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$73k-105k yearly est. 5d ago
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Principal Data Scientist: ML & Big Data for Card Products
Capital One 4.7
Data scientist job in McLean, VA
A leading financial services company seeks a DataScientist to leverage advanced analytics and machine learning techniques. The role demands a strong background in Python, AWS, and statistical modeling, requiring a bachelor's degree in a quantitative field and relevant experience in data analytics. The candidate will work cross-functionally to translate complex data into actionable insights for customers. A competitive benefits package is offered.
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$69k-89k yearly est. 5d ago
Delivery Consultant - Data Architect, AWS Professional Services, AWS Professional Services, AWS Professional Services
Amazon 4.7
Data scientist job in Arlington, VA
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team
at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS
solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer
success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
You will lead customer-focused project teams as a technical leader and perform hands-on development of Data &
Analytics solutions with exceptional quality.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in
architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work
closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration
strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies,
and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best
practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business
outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to
execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help
customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our
global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies.
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to
never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 7+ years of technical specialist, design and architecture experience
- 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 7+ years of consulting, design and implementation of serverless distributed solutions experience
- 5+ years of software development with object oriented language experience
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 7+ years of external or internal customer facing, complex and large scale project management experience
- 5+ years of cloud architecture and solution implementation experience
- Bachelor's degree, or 7+ years of professional or military experience
Preferred Qualifications
- degree in advanced technology, or AWS Professional level certification
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards including HIPAA and GDPR
- Experience in performance optimization and cost management for cloud environments
- Experience communicating technical concepts to diverse audiences in pre-sales environments
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.
$138.2k-239k yearly 6d ago
Data Scientist - TS/SCI with Polygraph Required
LMI Consulting, LLC 3.9
Data scientist job in McLean, VA
Job ID 2024-11991 # of Openings 1 Category Intelligence Benefit Type Salaried High Fringe/Full-Time
LMI is seeking a DataScientistto support a U.S. Federal Government Agency working with classified media. This position will work with a team of developers, architects, and datascientists tobuild new capabilities for our client, bringing innovative ideas to challenging and complex problems. The DataScientist willquery and structure data, apply algorithms to develop machine learning models, develop metrics and data visualizations, and deploy visualization products to web-based environments. The DataScientist will have a strong background in technology, the ability to structure data for reporting, and a strategic view for how to present analytic results to customers. This position will be responsible for presenting and explaining complex results to users. Join our team of collaborative self-starters focused on delivering practical and efficient solutions in support of our client's incredibly important mission.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
Gather and process raw data at scale by using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, and Scala);
Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges;
Query databases using SQL with structured data and perform statistical analysis;
Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks; and
Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations.
Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools;
Think strategically about how to publish data visualizations and present analytic results;
Support business decisions with ad hoc analysis;
Qualifications
3 years of experience using data sources from industry, academia, the IC, the military, and/ or the scientific community.
3 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory.
3 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods.
Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization.
Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products.
Active TS/SCI with polygraph required.
#LI-SH1
LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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$75k-107k yearly est. 4d ago
Federal ML Engineer - Data Strategy & Production
Steampunk
Data scientist job in McLean, VA
An established industry player is seeking a seasoned Machine Learning Engineer to join a dynamic team focused on leveraging AI/ML technology for Federal use cases. In this role, you will collaborate with datascientists and engineers to design and develop innovative machine learning models, analyze large datasets, and optimize solutions for performance and scalability. This position offers a unique opportunity to contribute to impactful projects while working with cutting-edge technologies in a supportive environment that values your growth and contributions. If you are passionate about data and problem-solving, this role is perfect for you!
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$79k-108k yearly est. 3d ago
Assistant Actuary II
Argonaut Management Services, Inc.
Data scientist job in Richmond, VA
Argo Group International Holdings, Inc.and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions.
Job Description
American National is seeking an exceptional Reserving Actuary to join our dynamic and forward-thinking team at American National, where innovation meets collaboration! We are a leading company in the insurance industry, dedicated to shaping the future with our flagship Farm and Ranch product. Our team is passionate about delivering exceptional results and making a real impact. We are seeking a talented and motivated Assistant Actuary II to join our collaborative Reserving team. In this role you will have the opportunity to work on exciting and challenging projects while shaping the future of our team.
Responsibilities
* Perform monthly/quarterly reserve reviews, including analysis of loss development trends and reserve adequacy.
* Collaborate with other functional areas (Claims, Finance, Underwriting, Pricing) to understand trends impacting reserve analyses and provide insights on key loss drivers.
* Assist the Appointed Actuary on the Statement of Actuarial Opinion and other financial reporting requirements.
* Prepare presentations/communications of analyses to various audiences.
* Proactively monitor relevant trends. Track and report on appropriate metrics.
* Persistent pursuit of improvement including streamlining processes, data, exploration of new methods, techniques, and practices.
Qualifications
* A Bachelor's degree in mathematics, statistics, economics, or a related field with a strong mathematical background is required.
* 2 or more exams with desire to obtain ACAS
* Prior experience with SQL, Python, or R strongly preferred.
Position is posted between 90k and 137K
Level of role, Assistant Actuary I or II, will be commensurate with experience
PLEASE NOTE:
Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.
If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at .
Notice to Recruitment Agencies:
Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions.
We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics.
The collection of your personal information is subject to our HR Privacy Notice
Benefits and Compensation
We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.
$79k-122k yearly est. 2d ago
Lead Data Engineer
Ntech Workforce
Data scientist job in Reston, VA
Terms of Employment
• W2 Contract-to-Hire, 12 months
• This is a hybrid schedule at Reston, VA, Candidates must reside in Maryland, Washington, DC, or Virginia
Role Purpose
The Lead Data Engineer is responsible for designing, building, deploying, and scaling robust data solutions with a primary focus on the AWS Cloud platform. You will lead a team in transforming the company's data platforms to deliver meaningful, data-driven insights while ensuring high reliability, automation, and performance
Core Responsibilities:
• Data Integration & Pipeline Leadership (50%): Lead the team to design, implement, and monitor all aspects of Data Integration. Develop and enforce best practices for data management, ensuring optimal performance for complex data pipelines.
• AWS Infrastructure & Architecture (10%): Develop and maintain cloud-based infrastructure, including data warehouses (Redshift) and data lakes (S3). Model Data Warehouse solutions specifically tailored for cloud environments.
• Engineering Oversight (10%): Oversee the delivery of high-priority engineering initiatives, managing both long-term projects and ad-hoc ELT/ETL activities.
• Data Extraction & Transformation (10%): Create sophisticated data collection frameworks for structured and unstructured data. Apply advanced ETL/ELT techniques to connect large, diverse datasets.
• Analytics & Quality Control (5%): Execute quantitative analyses to translate data into actionable insights. Design and manage strict quality control procedures across multiple systems.
• Professional Development (5%): Maintain state-of-the-art practices by participating in professional societies and benchmarking new technologies.
Required Qualifications
Education: Bachelor's degree in Computer Science or IT. In lieu of a degree, 4 additional years of relevant experience is required.
Experience:
At Least 10 years Experience in leading data engineering and cross functional team to implement scalable data platforms for optimal performance.
Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling.
Data Engineering on AWS platform preferably leveraging S3, Kafka, Redshift and other AWS services., at least 3 years
ETL/Data Integration Design and Development experience using Java/Scala, Spark preferably on Cloudera Platform .,couple of projects
Knowledge and understanding of SQL ., Expert
Strong Java Programming with enterprise scale experience ( using Git,Artifactory and other DevOps tools)
Knowledge and understanding of database design and implementation concepts. , Expert
Knowledge and understanding of data exchange formats., Expert
Knowledge and understanding of data movement concepts, Expert
Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems., Expert
Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities., Expert
Able to effectively provide direction to and lead technical teams., Expert
nTech is an equal opportunity employer. All offers of employment are contingent upon pre-employment drug and background screenings. Only candidates who meet all of the above client requirements will be contacted by a recruiter.
$79k-108k yearly est. 1d ago
Snowflake Data Engineer
GAC Solutions
Data scientist job in Nashville, TN
Experience: At least 5 years of experience in data engineering.
Technical Skills: Proficiency in Snowflake and Cloud data services. 5+ years of experience working with cloud services. 2+ years of experience working with Databricks or Snowflake. 3+ years working with PySpark. Proficiency in the following areas:
Data Warehousing: Strong knowledge of data warehousing concepts.
Python or Java: Advanced skills in Python or Java programming for data engineering and data pipelines.
Data Integration: Proficiency in integrating data from various sources.
Data Platforms: Strong knowledge of data modeling, storage and design within Snowflake.
$70k-94k yearly est. 5d ago
Data Analyst
Navy Federal Credit Union 4.7
Data scientist job in Winchester, VA
Design, develop, and optimize data pipelines and systems for efficient data collection, integration, and storage. Interpret data to generate insights and implement reliable data processing workflows that ensure data quality and system stability. Apply data governance practices across ETL pipelines, metadata management, security, and lineage tracking. Develop understanding of business objectives to align data solutions and address increasingly complex data challenges while building proficiency in standard procedures and techniques.
Responsibilities
Develop and maintain data pipelines and workflows using Data Factory and SQL Server Integration Services.
Format data from APIs into SQL servers.
Collaborate with stakeholders to gather data requirements and ensure alignment with business needs and objectives.
Design and build data pipelines for data collection, connection, and storage.
Develop and enforce data engineering policies and best practices to ensure data integrity.
Proficient in querying MongoDB and integrating data across database systems for efficient data retrieval and processing.
Ensure data quality and performance at scale.
Ensure high performance and scalability of data systems and processes.
Help with the collection, connection, and storage of data.
Optimize existing data workflows and ensure system reliability.
Collaborate with team members and participate in team projects and initiatives.
Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
3-5 years of experience in data engineering and governance.
Advanced knowledge of SQL language.
Advanced understanding of API frameworks and JSON transformations.
Understanding of various data warehousing architectures (Mongo, Azure, SQL, etc.).
Basic understanding of business and operating environment.
Basic knowledge of programming languages (Mongo, Python, PowerShell, R, SQL, C#).
Experience with data management, processing and analytic tools (Databricks).
Experience with data integration and processing tools.
Basic problem-solving skills.
Basic communication and collaboration skills.
Working experience with data warehousing solutions, ETL tools, and data system design.
Basic knowledge of data engineering principles, technologies, and architecture.
Hours: Monday - Friday, 8:00AM - 4:30PM
Locations: 820 Follin Lane, Vienna, Virginia 22180 | 5550 Heritage Oaks Drive, Pensacola, FL 32526 | 141 Security Drive, Winchester, VA 22602
About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion.*
Fortune
100 Best Companies to Work For 2025* Yello and WayUp Top 100 Internship Programs* Computerworld Best Places to Work in IT* Newsweek Most Loved Workplaces* 2025 PEOPLE Companies That Care* Newsweek Most Trustworthy Companies in America* Military Times 2025 Best for Vets Employers* Best Companies for Latinos to Work for 2024* Forbes 2025 America's Best Large Employers* Forbes 2025 America's Best Employers for New Grads* Forbes 2025 America's Best Employers for Tech Workers* 2025 RippleMatch Campus Forward Award Winner for Overall Excellence* Military.com Top Military Spouse Employers 2025* 2025 Handshake Early Talent AwardFrom
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. 2025
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Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
$63k-83k yearly est. 5d ago
Staff Operations Data Analyst
Redwire Space
Data scientist job in Chantilly, VA
Bring your passion for space!
Redwire is accelerating humanity's expansion into space by delivering reliable, economical and sustainable infrastructure for future generations. Redwire, (via our subsidiary Redwire Space, Inc.), is accelerating humanity's expansion into space through specializing in-space manufacturing technologies, developing space-optimized products to improve industrial machines on Earth, and developing advanced manufacturing technology that can support space exploration.
Job Summary:
The Staff Operations Data Analyst will support business operations and strategy initiatives by gathering and analyzing operational data and assisting in process improvement efforts. This role will contribute to the development of insights that inform decision-making and help improve efficiency across various functions. Working under the guidance of leadership, the Associate or Staff (depending on role decided) will provide research, reporting, and recommendations to support Redwire's strategic and operational goals.
Responsibilities:
Support internal teams by providing data-driven insights on corporate strategy, operations, and business performance.
Contribute to the development of key performance indicators (KPIs) and operational metrics to track business performance.
Prepare reports, presentations, and models (e.g., market trends, financial models, forecasts) to summarize key findings.
Assist in analyzing business operations to identify opportunities for process improvements.
Collaborate with leadership to support strategic initiatives and organizational goals.
Assist in monitoring company operations and recommending adjustments to improve efficiency.
Maintain awareness of industry trends, technologies, and market developments relevant to company operations.
Perform other duties as assigned to support operational and strategic objectives.
Ideal Experience:
1-3 years of experience in business operations, strategy, data analytics, research, or a related field.
Bachelor's degree in Business Administration, Economics, Computer Science, Data Science, Engineering, or a related discipline.
Strong analytical and problem-solving skills with the ability to interpret data and provide actionable insights.
Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word) and other analytical tools.
Familiarity with business intelligence tools and data visualization platforms (e.g., Power BI).
Proficiency in programming languages used in data modeling and visualization (e.g., Python, SQL, DAX, R, etc.)
Strong communication and organizational skills with attention to detail.
Preferred Qualifications:
Experience in government contracting, aerospace, or technology industries is a plus.
Experience conducting market research and compiling findings into reports or presentations.
Ability to work independently and collaborate effectively within teams.
Grow with us as we innovate the next generation capabilities for a new era of space exploration! We offer a highly competitive benefits package along with a commitment to our core values of Integrity, Innovation, Impact, Inclusion, and Excellence.
Redwire Space is an Equal Opportunity Employer; employment with Redwire Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
All offers of employment at Redwire Space are contingent upon clear results of a thorough background check and your ability to provide proof of eligibility to work in the US. Note that some positions will also require US citizenship or ability to obtain a security clearance due to requirements of a classified program
.
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR Click Here
$64k-90k yearly est. 2d ago
Sr. Data Engineer (Hybrid--Richmond, VA)
Atlantic Union Bank 4.3
Data scientist job in Glen Allen, VA
The Senior Data Engineer is a senior technical role in supporting the information management architecture of the Enterprise Data Warehouse solution. The role will be actively responsible for designing the data acquisition, data staging, loading, and transformation into the Enterprise Data Warehouse. This role will be a technical expert and resource collaborating with the Data Architect, Software Engineers, Product Owners, and Project Team to develop and deliver data storage and movement solutions and to organize and oversee the loading of data into the related systems. Additionally, the Senior Data Engineer will bridge gaps related to Business Intelligence functions, supporting the analytics produced by the organization, and providing expertise tying data movement together with data consumption.
Position Accountabilities:
Design and develop complex ETL solutions using data warehouse design best practices
Analyze data requirements, data models, and determine the best methods in extracting, transforming and loading the data into the data staging, warehouse and other system integration projects
Create complex business intelligence reports and data visualizations using tools like Python, Tableau, and PowerBI
Analyze business requirements and outline solutions
Validate code against business and architectural requirements
Create and test prototypes
Troubleshoot applications and resolve defects
Work within an agile framework
Plan, Prioritize and Deliver Resilient, Scalable technical solutions
Communicate ideas in both technical and user friendly language
Update and maintain product documentation
Escalate issues and impediments in a timely manner
Work within established framework and processes (Agile)
Collaboratively work with Agile teams, as well as independently
Perform and coordinate unit and system integration testing when required
Participate in peer programming, mobbing, hackathons, and code reviews as required
Support and occasionally lead business intelligence efforts, data analytics efforts, and data governance/quality efforts
Position Qualifications
Education & Experience
A Bachelor's Degree or a combination of equivalent work experience
7+ years of previous experience in information technology, preferably within the financial services or other highly-regulated industry
5+ years ETL development experience
3+ years of Business Intelligence, Data Analytics, or Data Science experience
3+ years of experience in an Agile environment
Knowledge of ETL and data warehouse design
Experience using Python for data movement/manipulation
Extensive experience with data dictionaries, data analysis and relational databases
Experience with a business intelligence toolset
Preferred Qualifications
A Master's Degree in a technology area of study; preferably in Computer Science, MIS or Analytics.
Knowledge & Skills
Creative problem solver with excellent communication, leadership and collaboration skills.
Advanced decision making and problem solving skills
Business acumen, knowledge and professionalism
Proactive leadership style and a self-starter and strong attention to detail
A clear and familiar understanding of the concepts and best practices of data warehouse ETL design
Demonstrable expertise with RDBMS or Big Data technology
Foundational Database administration skills; Broad DW skills including Semantic Layer, Basic BI Development and basic data modeling & data analysis
Methodical and structured approach to design and development.
Delivery focused with the ability to prioritize activities.
Flexible team player within a small, multi-disciplinary team.
Organizational Relationship
This position reports to the Manager - Software Engineering
Salary offered will be based on several factors including but not limited to education, work experience, certifications, etc. This position is also eligible to participate in either an applicable incentive compensation plan for the position or a discretionary profit sharing bonus program. General information on our comprehensive benefits package can be found by visiting about/careers/benefits.
We are proud to be an Equal Employment Opportunity employer. We maintain a drug-free workplace.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
$100k-134k yearly est. 2d ago
Data Engineer
Crystal Management | CMIT
Data scientist job in Vienna, VA
CMiT is seeking an experienced Data Engineer to help lead the analysis, documentation, and migration of a ~2TB Oracle database environment to PostgreSQL. This role involves mapping complex data dependencies across multiple schemas Oracle in legacy data centers to Postgres RDS in AWS environments.
This role offers the opportunity to play a pivotal role in a mission critical database modernization initiative, working with enterprise scale data systems while building expertise in both traditional and cloud-native database technologies.
Responsibilities
Perform comprehensive analysis of Oracle database structures across multiple schemas and systems
Map table relationships, constraints, and dependencies within the ~2TB environment
Document data flows, lineage, and integration points with legacy systems
Create detailed migration documentation and data dictionaries in Confluence
Design optimized PostgreSQL target schemas for performance and maintainability
Develop migration strategies for complex Oracle features (PL/SQL, packages, materialized views)
Create and execute data migration scripts with comprehensive validation procedures
Implement hybrid migration approaches for legacy data center and AWS environments
Design data synchronization strategies between on-premises and cloud environments
Implement secure data transfer mechanisms and connectivity solutions
Ensure data consistency and integrity across distributed PostgreSQL deployments
Qualifications
Education/Certification Required
A minimum of a Bachelor's Degree. Experience or education requirements may be met through an equivalent number of combined years of education or experience.
Required Qualifications
5+ years Oracle database administration and development experience
3+ years hands-on PostgreSQL experience with advanced features and performance tuning
Experience with large-scale database migrations (multi-TB environments)
Expert-level SQL skills across both Oracle and PostgreSQL platforms
Proficiency in scripting languages (Python, Bash, PowerShell) for automation
Experience with database migration tools (AWS DMS, ora2pg, pgloader)
Knowledge of ETL/ELT tools and data pipeline frameworks
Hands-on experience with AWS database services (RDS, Aurora PostgreSQL)
Comfortable with a strong culture of documentation
Proficiency with Confluence for technical documentation and knowledge management and sharing
Ability to create clear data flow diagrams and system architecture documentation
Experience with data lineage tools and dependency mapping
Proficiency with diagramming tools (Visio, PowerPoint, etc)
Proven track record of successful Oracle to PostgreSQL migrations
Experience with legacy enterprise systems and data integration patterns
Understanding of compliance and audit requirements for data migrations
Strong collaboration skills with cross-functional teams
Ability to collaborate with team members to ensure client needs and expectations are met or exceeded. Comfortable working in a remote environment.
Demonstrates a passion for solving complex software challenges and enjoys working team collaboration.
Preferred Qualifications:
AWS certifications (Database Specialty, Solutions Architect)
PostgreSQL and/or Oracle certifications or equivalent expertise
Experience with data governance and master data management
Knowledge of performance monitoring tools (CloudWatch, pg Admin, Oracle Enterprise Manager)
Ability to obtain DHS/TSA clearance
Clearance Required
Active TSA clearance required
$79k-108k yearly est. 4d ago
Principal Data Scientist - Model Risk & ML Innovation
Capital One 4.7
Data scientist job in McLean, VA
A leading financial services company in McLean, Virginia, is seeking an experienced data analyst to develop machine learning models and partner with cross-functional teams. The ideal candidate has a Bachelor's Degree in a quantitative field and at least 5 years of relevant experience, with strong proficiency in Python, SQL, and AWS. Responsibilities include leveraging technology to derive insights from data and staying current with industry advancements. This role offers a comprehensive benefits package and a supportive work environment.
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$69k-89k yearly est. 5d ago
Delivery Consultant - Data Engineer, Data and Machine Learning, WWPS US Federal
Amazon 4.7
Data scientist job in Herndon, VA
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
It is expected to work from one of the above locations (or customer sites) Monday through Friday each week. This is not a remote position. You are expected to be in the office or with customers as needed.
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.
10040
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent
- 3+ years of cloud architecture and solution implementation experience
- 3+ years of experience with data warehouse architecture, ETL/ELT tools, data engineering, and large-scale data manipulation using technologies like Spark, EMR, Hive, Kafka, and Redshift.
- Experience with relational databases, SQL, and performance tuning, as well as software engineering best practices for the development lifecycle, including coding standards, reviews, source control, and testing.
- Current, active US Government Security Clearance of TS/SCI with Polygraph.
Preferred Qualifications
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred.
- Experience with automation and scripting (e.g., Terraform, Python).
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR).
- Experience leading large-scale data engineering and analytics projects using AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda.
- Experience with non-relational databases and implementing data governance solutions.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.
$118.2k-204.3k yearly 5d ago
Data Science Intern (USPS) - Summer 2026
LMI Consulting, LLC 3.9
Data scientist job in Tysons Corner, VA
Job ID 2026-13490 # of Openings 1 Category Internships Benefit Type Hourly Low Fringe/Intern
LMI is seeking a highly motivated Data Science & AI/ML Intern for Summer 2026 to contribute to impactful projects in data science, software development, and artificial intelligence/machine learning (AI/ML). This internship provides an opportunity to work with cutting-edge technologies, analyze complex datasets, and develop AI-driven solutions that support LMI's mission to provide innovative solutions for government clients.
This role is dedicated to bolstering our Advanced Analytics & AI practice and supporting our USPS customer.
*This position is currently full-time onsite at the customers Washington DC office.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
Participate in research and development efforts focused on emerging AI and data science methodologies.
Conduct data analysis and build predictive models using Python, SQL, and machine learning libraries.
Develop and implement AI/ML algorithms to solve real-world problems.
Assist in the development of software applications leveraging cloud computing platforms like AWS or Azure.
Create data visualizations and dashboards to present analytical insights effectively.
Collaborate with cross-functional teams to integrate AI-driven solutions into existing systems.
Qualifications
Current enrollment in a degree seeking program required
Availability to work full-time for at least 10-12 weeks for summer 2026
Must be available starting at the end of May 2026
Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
Experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).
Familiarity with software development, cloud computing (AWS, Azure), and algorithms.
Strong analytical and problem-solving skills with the ability to work on complex datasets.
Experience with data visualization tools (Tableau, Power BI, Matplotlib) is a plus.
Strong communication and teamwork skills.
Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. For this position, LMI will only consider applicants who are eligible for security clearances. Only US Citizens are eligible for a security clearance.
DESIRED QUALIFICATIONS/SKILLS
Experience working with Microsoft Excel and Access.
Experience with Visual Basic for Applications and Java is highly desirable.
Programming experience-ability to program and learn new programming languages quickly.
LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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$48k-79k yearly est. 4d ago
Data Analyst
Navy Federal Credit Union 4.7
Data scientist job in Vienna, VA
Design, develop, and optimize data pipelines and systems for efficient data collection, integration, and storage. Interpret data to generate insights and implement reliable data processing workflows that ensure data quality and system stability. Apply data governance practices across ETL pipelines, metadata management, security, and lineage tracking. Develop understanding of business objectives to align data solutions and address increasingly complex data challenges while building proficiency in standard procedures and techniques.
Responsibilities
Develop and maintain data pipelines and workflows using Data Factory and SQL Server Integration Services.
Format data from APIs into SQL servers.
Collaborate with stakeholders to gather data requirements and ensure alignment with business needs and objectives.
Design and build data pipelines for data collection, connection, and storage.
Develop and enforce data engineering policies and best practices to ensure data integrity.
Proficient in querying MongoDB and integrating data across database systems for efficient data retrieval and processing.
Ensure data quality and performance at scale.
Ensure high performance and scalability of data systems and processes.
Help with the collection, connection, and storage of data.
Optimize existing data workflows and ensure system reliability.
Collaborate with team members and participate in team projects and initiatives.
Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
3-5 years of experience in data engineering and governance.
Advanced knowledge of SQL language.
Advanced understanding of API frameworks and JSON transformations.
Understanding of various data warehousing architectures (Mongo, Azure, SQL, etc.).
Basic understanding of business and operating environment.
Basic knowledge of programming languages (Mongo, Python, PowerShell, R, SQL, C#).
Experience with data management, processing and analytic tools (Databricks).
Experience with data integration and processing tools.
Basic problem-solving skills.
Basic communication and collaboration skills.
Working experience with data warehousing solutions, ETL tools, and data system design.
Basic knowledge of data engineering principles, technologies, and architecture.
Hours: Monday - Friday, 8:00AM - 4:30PM
Locations: 820 Follin Lane, Vienna, Virginia 22180 | 5550 Heritage Oaks Drive, Pensacola, FL 32526 | 141 Security Drive, Winchester, VA 22602
About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion.*
Fortune
100 Best Companies to Work For 2025* Yello and WayUp Top 100 Internship Programs* Computerworld Best Places to Work in IT* Newsweek Most Loved Workplaces* 2025 PEOPLE Companies That Care* Newsweek Most Trustworthy Companies in America* Military Times 2025 Best for Vets Employers* Best Companies for Latinos to Work for 2024* Forbes 2025 America's Best Large Employers* Forbes 2025 America's Best Employers for New Grads* Forbes 2025 America's Best Employers for Tech Workers* 2025 RippleMatch Campus Forward Award Winner for Overall Excellence* Military.com Top Military Spouse Employers 2025* 2025 Handshake Early Talent AwardFrom
Fortune
. 2025
Fortune
Media IP Limited. All rights reserved. Used under license.
Fortune
and
Fortune
Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
$63k-84k yearly est. 5d ago
LLM Customization Data Scientist - Principal Associate
Capital One National Association 4.7
Data scientist job in McLean, VA
A prominent financial services company located in McLean is seeking a Principal Associate, DataScientist for the LLM Customization Team. The ideal candidate will leverage cutting-edge machine learning technologies to enhance customer interactions and financial analytics. Candidates should possess a strong background in data science, experience with NLP, machine learning, and programming in Python, SQL, and AWS. This role offers competitive salaries and benefits, driving innovation within a dynamic team environment.
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$69k-89k yearly est. 3d ago
Delivery Consultant - Data Engineer, Data and Machine Learning, WWPS US Federal
Amazon.com, Inc. 4.7
Data scientist job in Arlington, VA
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
It is expected to work from one of the above locations (or customer sites) Monday through Friday each week. This is not a remote position. You are expected to be in the office or with customers as needed.
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.
10040
Key job responsibilities
As an experienced technology professional, you will be responsible for:
Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
Providing technical guidance and troubleshooting support throughout project delivery
Collaborating with stakeholders to gather requirements and propose effective migration strategies
Acting as a trusted advisor to customers on industry trends and emerging technologies
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent
3+ years of cloud architecture and solution implementation experience
3+ years of experience with data warehouse architecture, ETL/ELT tools, data engineering, and large-scale data manipulation using technologies like Spark, EMR, Hive, Kafka, and Redshift.
Experience with relational databases, SQL, and performance tuning, as well as software engineering best practices for the development lifecycle, including coding standards, reviews, source control, and testing.
Current, active US Government Security Clearance of TS/SCI with Polygraph.
Preferred Qualifications
AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred.
Experience with automation and scripting (e.g., Terraform, Python).
Knowledge of security and compliance standards (e.g., HIPAA, GDPR).
Experience leading large-scale data engineering and analytics projects using AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda.
Experience with non-relational databases and implementing data governance solutions.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.
$118.2k-204.3k yearly 5d ago
Data Engineer - Clearance Required
LMI Consulting, LLC 3.9
Data scientist job in Tysons Corner, VA
Job ID 2026-13522 # of Openings 1 Category Information Technology Benefit Type Salaried High Fringe/Full-Time
LMI seeks an experienced Data Engineer to support the U.S. Army's Holistic Health & Fitness (H2F) initiative as a member of the Analytics functional team within the H2F Program Support Team.
The Data Engineer is responsible for designing, building, and maintaining data pipelines and data services that enable scientific analysis, analytics, and user engagement activities within the Holistic Health and Fitness Management System (H2FMS). This role focuses on data ingestion, transformation, storage, and accessibility, ensuring that data supporting research, analytics, and decision support is reliable, well-structured, and available for authorized use.
The Data Engineer works closely with the Technical Project Manager, data governance specialists, epidemiologists, research psychologists, tactical sports scientists, datascientists, and software teams to translate analytic and research requirements into scalable data solutions under Government direction. This role does not set independent data policy or analytic strategy.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
Design, develop, and maintain data ingestion and transformation pipelines supporting H2FMS analytics and research use cases.
Integrate data from multiple sources, including surveys, wearable and performance data, health and injury datasets, and operational systems as directed.
Ensure pipelines are reliable, scalable, and support downstream analytic and reporting needs.
Support development of analytic data models optimized for reporting, dashboards, and advanced analytics.
Work with data governance staff to ensure data models align with approved data definitions and standards.
Assist with management of structured and semi-structured data stores used within H2FMS.
Enable data access and preparation for datascientists and AI/ML engineers, ensuring data is usable for modeling and analysis.
Support feature preparation and data validation activities under Government and senior analytic direction.
Assist in troubleshooting data-related issues impacting analytics or models.
Support monitoring and resolution of data quality issues, including completeness, consistency, and timeliness.
Implement basic validation, logging, and error-handling mechanisms within data pipelines.
Coordinate with data governance and analytics teams to address recurring data issues.
Collaborate with epidemiologists, research psychologists, and tactical sports scientists to understand analytic data needs.
Coordinate with software teams to support integration between data services and application components.
Support documentation and communication of data pipeline designs and dependencies.
Qualifications
Required Qualifications
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
Demonstrated experience building and maintaining data pipelines and data integration solutions.
Familiarity with data transformation, storage, and analytics enablement concepts.
Experience working with structured and semi-structured data.
Ability to collaborate effectively within multidisciplinary teams spanning analytics, research, and software.
Strong problem-solving and communication skills.
Ability to obtain and maintain a Secret security clearance.
Desired Qualifications
Experience supporting analytics or research-driven data environments.
Familiarity with cloud-based data services or analytics platforms.
Experience preparing data for dashboards, reporting, or AI/ML workflows.
Prior experience supporting DoW or federal customers.
Location & Travel
Duty Location: This position may be performed in a remote or hybrid capacity.
Travel: Limited travel to Fort Eustis, Virginia or LMI Headquarters may be required to support planning, integration, or stakeholder engagement.
Target salary range: $101,986 - $170,154
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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$102k-170.2k yearly 2d ago
Delivery Consultant - Data Engineer, Data and Machine Learning, WWPS US Federal
Amazon 4.7
Data scientist job in Arlington, VA
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
It is expected to work from one of the above locations (or customer sites) Monday through Friday each week. This is not a remote position. You are expected to be in the office or with customers as needed.
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.
10040
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent
- 3+ years of cloud architecture and solution implementation experience
- 3+ years of experience with data warehouse architecture, ETL/ELT tools, data engineering, and large-scale data manipulation using technologies like Spark, EMR, Hive, Kafka, and Redshift.
- Experience with relational databases, SQL, and performance tuning, as well as software engineering best practices for the development lifecycle, including coding standards, reviews, source control, and testing.
- Current, active US Government Security Clearance of TS/SCI with Polygraph.
Preferred Qualifications
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred.
- Experience with automation and scripting (e.g., Terraform, Python).
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR).
- Experience leading large-scale data engineering and analytics projects using AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda.
- Experience with non-relational databases and implementing data governance solutions.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.
How much does a data scientist earn in Bristol, TN?
The average data scientist in Bristol, TN earns between $61,000 and $112,000 annually. This compares to the national average data scientist range of $75,000 to $148,000.