Data scientist jobs in Knoxville, TN - 3,110 jobs

A prominent financial services company located in McLean is seeking a Principal Associate, Data Scientist 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. #J-18808-Ljbffr

**ONLY FROM DMV AREA** Data Science and AI experience is a must • Look for more Data Scientist/ AI/ML Engineering Backgrounds • A lead Data Scientist with understanding of Solution designing can fit for this role • A hands on solution architect with Data Science and AI experience can be a potential fit for this role • I believe being end of the year might be a reason we have not got great candidates thus I am hopeful in January we might see a different variety of people • Not suitable for this role: “Solution Architects” with no data science background” , “Data Architects”, “Cloud Architects”

08-Jan-2026 Data Scientist US Remote 10570BR As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. ************** Business Summary The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged - consider joining us as we explore the limitless opportunities of the software industry. Position Responsibilities Job Summary As a Data Scientist at Deltek, you will leverage advanced analytics and machine learning techniques to solve complex business challenges. You will work with large, diverse datasets to uncover actionable insights, build predictive models, and communicate findings through compelling visualizations and reports. This role requires strong technical expertise, a collaborative mindset, and the ability to translate data-driven results into strategic recommendations for stakeholders. Key Responsibilities: Build predictive models using classification, regression, clustering, and time series techniques to address business needs. Perform exploratory data analysis to identify patterns, anomalies, and insights in large datasets from multiple sources. Create features from structured and unstructured data; apply feature engineering to enhance model performance. Develop and validate models using train/test splits, cross-validation, and appropriate evaluation metrics. Conduct A/B tests and analyze experiments to measure the impact of product changes or new features. Build dashboards and reports to communicate findings; create data visualizations that tell compelling stories. Collaborate with data engineers on data pipeline requirements to ensure data quality and availability. Document analyses thoroughly, including methodology, assumptions, and limitations to ensure reproducibility. Support production models by monitoring performance, investigating issues, and recommending improvements. Qualifications Required Qualifications: 3-5 years of hands-on data science experience, including model building and statistical analysis. Strong understanding of hypothesis testing, regression, classification, and clustering methods. Proficiency in Python (pandas, scikit-learn, matplotlib/seaborn) and SQL. Practical experience building and evaluating predictive models; familiarity with common algorithms. Ability to clean, transform, and prepare real-world data for analysis. Experience creating visualizations and dashboards using Tableau, Power BI, or Python libraries. Ability to present findings clearly to both technical and business audiences. Experience with Jupyter notebooks, Git, and collaborative data science workflows. Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. This position requires US Citizenship Preferred Qualifications: Master's degree in a relevant field. Exposure to NLP, recommendation systems, or optimization problems. Experience with cloud platforms such as AWS, Azure, or OCI. Why Join Deltek? At Deltek, you will be part of a forward-thinking team that values innovation, collaboration, and continuous learning. Our company culture fosters professional growth and encourages creative problem-solving. You will have the opportunity to work on impactful projects, leverage cutting-edge AI capabilities, and contribute to a dynamic environment where your expertise is valued. Deltek's commitment to flexibility, development opportunities, and advanced technology makes it an ideal place for data science professionals to thrive. Compensation Info The U.S. salary range for this position is $76,000.00-$134,000.00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity. Benefits and perks listed here may vary depending on the nature of employment with Deltek. Employees have access to healthcare benefits, a 401(k) plan and company match, paid vacation time and holidays, well-living programs, short-term and long-term disability coverage, basic life insurance and tuition reimbursement. Position Type FT Travel Requirements No Compliance Requirements Certain roles may have additional privacy, security and compliance requirements to the extent they support Costpoint GCCM or similar product offerings. EEO Statement Deltek, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. E-Verify Statement Deltek, Inc., utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for Deltek is eligible to work in the United States. To learn more about E-Verify you can call or visit their website by clicking the logo below. E-Verify is a registered trademark of the United States Department of Homeland Security. Applicant Privacy Notice Deltek is committed to the protection and promotion of your privacy. In connection with your application for employment with us at Deltek, it is necessary for us to collect, store and use information about you ("Personal Data") to administer and evaluate your application. We are the "controller" of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this Employment Candidate Privacy Notice. Additionally, we have not sold and do not sell Personal Data you provide to us through the job application process.

Executive Service DATA SCIENTIST/MACHINE LEARNING (ML) ENGINEERFinance & AdministrationStrategic Technology SolutionsNashville, TNSalary: $11,353.00/monthly-$14,750.00/Monthly $136,236.00/yearly-$177,000.00/yearly Closing Date: 01/27/2026 is designed as Hybrid. Background Check: Requires CJIS/FTI Fingerprints and name-based checks. This position requires a criminal background check. Therefore, you may be required to provide information about your criminal history in order to be considered for this position. Who we are and what we do: The Data Scientist leverages advanced analytics, machine learning, and AI techniques to solve complex business problems. This role involves translating business needs into data-driven solutions, performing exploratory analysis, and developing predictive and generative models. The ideal candidate combines strong technical expertise with business acumen and thrives in collaborative environments. How you make a difference in this role: See key responsibilities below. Key Responsibilities: Works closely with agencies and STSs functional, engineering, and technology teams to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conducts end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Develop, validate, and deploy machine learning and AI models, including GenAI frameworks. Conduct feature engineering and optimize algorithms for performance. Communicate insights and recommendations through clear visualizations and presentations. Collaborate with stakeholders, engineers, and MLOps teams to integrate solutions into production. Research emerging technologies and contribute to internal innovation initiatives Required Skills & Qualifications: Proficiency in Python and data analysis libraries (e.g., Pandas, NumPy, Scikit-learn). Experience with GenAI frameworks and deep learning techniques such as retrieval augmented generation (RAG), AI agents, and model fine-tuning. Experience with SQL and data manipulation (e.g., Snowflake, Redshift). Strong understanding of statistical modeling, machine learning, and AI concepts. Familiarity with AWS-based AI tools (Bedrock, Sagemaker). Ability to communicate technical concepts to non-technical audiences. Minimum Qualifications: Preferred Skills: Knowledge of data visualization tools (Tableau, Power BI). Familiarity with MLOps practices and version control (Git). Exposure to cloud-based data pipelines and streaming technologies. Ability to write scripts to automate ETL tasks Actively participates and contributes in brain-storming session. Can work seamlessly with people from other disciplines: IT engineers, Agency SMEs, business consultants Education & Experience: Bachelors degree in a quantitative field (Computer Science, Statistics, Mathematics, Engineering). Masters degree preferred. 2+ years of experience in data science, analytics, or related roles. Pursuant to the State of Tennessee's Workplace Discrimination and Harassment policy, the State is firmly committed to the principle of fair and equal employment opportunities for its citizens and strives to protect the rights and opportunities of all people to seek, obtain, and hold employment without being subjected to illegal discrimination and harassment in the workplace. It is the State's policy to provide an environment free of discrimination and harassment of an individual because of that person's race, color, national origin, age (40 and over), sex, pregnancy, religion, creed, disability, veteran's status or any other category protected by state and/or federal civil rights laws.

Property & Casualty Actuary opening in NJ or GA. Play key role in pricing E&S business involving General Liability, Commercial Auto, Workers Compensation, and Commercial Property; perform profitability analysis; design, build, and maintain pricing models and monitoring tools/reports; participate in reinsurance purchasing; collaborate with Underwriters, Claims, Finance, and senior management. Ideal candidate is ACAS or FCAS with 6+ years of P&C experience including General Liability pricing; background in Excel, Power BI, SQL, Python, or R advantageous. (PR13022)

*Role is Onsite 4 days a Week, Monday - Thursday in Atlanta* *Role is an Ongoing Contract* This position is hiring a Data Engineer with experience focused on testing data in a software engineering capacity. Some of that data might live in relational systems, this role focuses on monitoring data quality as it moves through a data lake. This role is specifically focusing on implementing QA testing for AI analytical models. A strong knowledge of machine learning processes and frameworks is required. As a Quality Assurance Data Engineer, you will play a crucial role in ensuring the integrity, reliability, and high performance of our decision-making data platform. Your expertise will be pivotal in enforcing data quality standards, performing rigorous testing, detecting, and resolving data issues, and supporting the continuous improvement of our software development processes. With strong analytical and communication skills, this role brings attention to detail and technical expertise to the testing process, ensuring the delivery of robust and error-free data analytical solutions through both manual and automated testing. In this role, you will ensure the quality and reliability of our AI models and systems, playing a critical part in the development and improvement of our AI-driven products. *role can pay $50-$80 an hour based on YOE*

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 data scientists 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! #J-18808-Ljbffr

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.

CGI is seeking a versatile Healthcare Data Scientist/Engineer to join our team supporting CGI PulseAI for Healthcare delivery. This role is critical in bridging the gap between raw healthcare data and actionable insights. You will be responsible for designing and maintaining robust data pipelines while developing predictive models and analytics that improve health outcomes and operational efficiency. This role will work on a hybrid basis out of any location within the United States local to a CGI office. Your future duties and responsibilities: Data Engineering: Design, build, and maintain scalable ETL/ELT pipelines to ingest healthcare data (Claims, EMR/EHR, Pharmacy, and Lab results). Model Development: Develop and deploy machine learning models for risk stratification, disease prediction, and utilization management. Healthcare Interoperability: Work with healthcare data standards, including FHIR, HL7, and ICD-10/CPT coding. Data Quality: Ensure the integrity and security of Protected Health Information (PHI) in compliance with HIPAA regulations. Collaboration: Work closely with clinical staff and business stakeholders to translate complex data into clear, visual stories and strategic recommendations. Required qualifications to be successful in this role: Education: Master's or Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Experience: Minimum of 3 years of experience in a data-centric role, specifically within the healthcare or health insurance industry. Technical Stack: * Languages: Proficiency in Python (Pandas, Scikit-learn, PySpark) and advanced SQL. Cloud: Experience with cloud platforms (AWS, Azure, or GCP) and big data tools (Databricks, Snowflake). Orchestration: Experience with Airflow, Databricks, and version control (Git). Domain Knowledge: Deep understanding of healthcare revenue cycles, payer operations, or clinical informatics. Preferred Skills Experience with Natural Language Processing (NLP) for unstructured clinical notes. Familiarity with Visualization tools like Tableau or PowerBI. Knowledge of Medical Claims lifecycle and Quality Measures (HEDIS/STARS). Pay Transparency & Benefits Anticipated Salary Range (Colorado & Remote): $89,600.00 - $188,100.00 USD Actual compensation will be determined based on factors such as geographical location, skills, experience, and education. Benefits: At CGI, we offer a comprehensive benefits package including: Competitive base salary and profit participation (bonus). Share Purchase Plan with employer match. Health, dental, and vision insurance. 401(k) retirement plan with company match. Flexible paid time off and paid holidays. Application Deadline: Applications for this role are accepted on an ongoing basis. We anticipate the initial application window to close by February 28, 2026. Skills: Cloud Computing Health Care Payers Python SQL What you can expect from us: Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world. Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_******************. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members. All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

Job Description We are seeking a Data Science Engineer to analyze complex instrumentation and control system data, detect trends and anomalies, and support engineering decisions. This role applies statistical, signal processing, and machine learning techniques to time-series data and develops tools to automate analysis and reporting. Core responsibilities: Develop and refine models to detect trends, anomalies, and equipment degradation Apply advanced statistical and machine learning techniques to time-series datasets Build automated pipelines for data processing, analysis, and reporting Collaborate with engineers and analysts to improve test methods and insights Translate complex analytical results into clear visualizations and actionable recommendations Research new diagnostic and monitoring technologies for instrumentation systems Compensation: $70,000 - $105,000 Requirements Qualifications: Bachelor's or Master's degree in Data Science, Engineering, Computer Science, or related field Experience working with large datasets, time-series analysis, and signal processing Proficiency in Python and machine learning/statistical modeling tools Strong analytical, problem-solving, and communication skills Ability to collaborate effectively with engineering teams Preferred Qualifications: Experience with industrial or safety-critical systems Familiarity with instrumentation and control system data Knowledge of data pipelines, automation tools, and database systems Experience visualizing and reporting complex technical data Benefits 4 weeks paid time off 401(k) with company match Health, dental, life, vision, and disability insurance Paid holidays Flexible hours

Senior Financial & Provider Compensation Analyst Full Time, 80 Hours Per Pay Period, Day Shift Covenant Medical Group is Covenant Health's employed and managed medical practice organization, with more than 300 top Physicians and providers spanning the continuum of care in 20 cities throughout East Tennessee. Specialties include cardiology, cardiothoracic surgery, cardiovascular surgery, endocrinology, gastroenterology, general surgery, infectious disease, neurology, neurosurgery, obstetrics and gynecology, occupational medicine, orthopedic surgery, physical medicine and rehabilitation, primary care, pulmonology, reproductive medicine, rheumatology, sleep medicine and urology. Position Summary: Responsible for providing support to the VP of Finance by analyzing financial information and developing proformas on new practices, capital purchases, expense requests and other projects. This position will also support the VP of Provider Compensation by understanding Provider contracts, analyzing, and developing Provider compensation models and calculating provider bonuses. Recruiter: Brittany Smithson || ***************** Responsibilities Determines justification for new/replacement equipment (e.g. ‘Nuc Med' Cameras, Ultrasounds, X-rays, etc.) that supports patient care, by developing proformas and / or financial analysis for VP of Finance or review/approval. Creates Proforma that reflects expected/past reimbursements generated from existing/new revenue sources vs. anticipated expenses, after due diligence research. May have to work with corporate legal team to complete Proforma for submission to VP of Finance review/approval. Manages maintenance agreements through partnering with Corporate Materials Management to affirm alignment between CMG and system contracts to ensure the best rate(s). Will track contracts in preparation for future budget reviews/projections. Develops Proformas for onboarding practices, adding Providers to existing practices and changes to Providers practice of patient care. Will prepare for VP of Finance review/approval. Will project and update Provider bonuses in the financial system, mid-year to align with month end close. Calculate cost/expense during the year for Medicare Advantage plans to offset Provider bonuses via reporting, for VP of Finance review/approval. Assists the VP of Compensation with Provider compensation bonus calculations and communication to stakeholder groups. Projects future bonuses to be used in budgeting and financial reporting. Develops FMV compensation review, by specialty. Supports Provider recruitment by assisting the VP of Finance with development of Provider compensation packages, during the recruitment cycle. Reviews Special Payment Requests for Providers by reconciling payments against contractual obligations, ensures proper payment coding and logs appropriately. Evaluates Provider CME travel requests and reimbursement requests against policy for VP of Finance review/approval. Reconciles capital expense(s) to budgetary line items in line with company processes. Will verify equipment for staff and Providers are needed. Work products will be reviewed by the VP of Finance. Follows policies, procedures, and safety standards. Completes required education assignments annually. Works toward achieving goals and objectives and participates in quality improvement initiatives as requested. Performs other duties as assigned. Qualifications Minimum Education: Bachelor's Degree in related field. Minimum Experience: Minimum of four (4) years in Healthcare Accounting or Finance, or related experience. Must have a minimum of four (4) years in Healthcare Accounting or Finance. Must be familiar with provider compensation, use of Medical Group Management Association (MGMA) data and benchmarks, and compensation analytics. Experience with physician practice finances a plus. Licensure Requirement: None.

Requisition Id 15381 We are seeking a Data Engineer who will focus on engineering design, installation, and troubleshooting associated with the rapidly growing field of stable isotope enrichment. This position resides in the Plasma Enrichment Deployment and Engineering Group in the Plasma Enrichment Science and Engineering Section, Enrichment Science and Engineering Division, Isotope Science and Engineering Directorate, at Oak Ridge National Laboratory (ORNL). The Enrichment Science and Engineering Division serves the nation in two critical areas: advancing enrichment technologies and exploring stable isotope production and applications. The division uses an elite staff of scientists, engineers, and technicians with world-leading capabilities of Oak Ridge National Laboratory to deliver groundbreaking advancements with a variety of applications, from national security to life-saving medical treatments. ESED is the national steward for the research, development, and demonstration of enrichment technologies. ORNL is a recognized leader in centrifuge and electromagnetic enrichment technology. We are the stewards and dispensary of the nation's stable isotope inventory and have a legacy dating to the late 1940s. This division integrates the full enrichment process from chemical synthesis of feed materials through fabrication of the custom physical forms needed to support the user communities. You will work closely with a focused group of scientists, technicians, and engineers on ambitious, fast paced technical projects in support of the DOE Isotope Program. This has been a quickly expanding program at ORNL and offers significant opportunities for professional growth. The team demonstrates a collective excitement for the important work being accomplished and values creative solutions to developing technology and processes to solve the latest challenges. Successful development and deployment of isotope separation technologies requires an acute attention to detail and continued consideration of personnel and equipment safety. Major Duties/Responsibilities: * Ensure seamless data integration across multiple production systems and platforms. * Perform analytics on plant operations and business data to support decision-making. * Develop and support system-to-system data integrations; may include designing integration workflows. * Maintain awareness of and implement basic security requirements related to data handling. * Work collaboratively with engineering, IT, R&D and Operations teams to meet data-driven needs. * Document processes and develop tools or scripts as needed to support data integrity and performance. * Ensure compliance with environment, safety, health, security and quality program requirements * Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote a respectful workplace - in how we treat one another, work together, and measure success. Basic Qualifications: * BS degree in Computer Science, Data Engineering, Information Systems, or a related field. * 5 years of relevant experience in data engineering, architecture, analytics, or a related field. * Experience in system integration and data infrastructure support. * Experience in data architecture and pipeline development. * Strong working knowledge of data flow, processes, and integration design. * Basic understanding of cybersecurity practices and requirements in a technical environment. * Strong programming skills in production controls, full-stack, or related experience. * Proficiency in relational databases and data governance. * Proficiency in Machine Learning techniques. * Motivated self-starter with excellent problem-solving skills, the ability to work independently, and to participate creatively in collaborative teams across the laboratory. * Ability to function well in a production-style environment and the transition from research and development to production including good configuration control and communication. * Ability to collaborate with engineers, scientists, designers, and technicians. * Ensure compliance with environments, safety, health, and quality program requirements. * This position requires the ability to obtain and maintain a DOE Security Clearance, which requires US Citizenship. Preferred Qualifications: * Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. * Expert programming skills (Python, SQL, JavaScript/TypeScript). * Experience with full-stack development, including front-end (e.g., React, Angular, or Vue.js) and back-end (e.g., Node.js, Flask, or Django) technologies. * Experience with AI/ML concepts and tools (e.g., scikit-learn, TensorFlow, or similar) for basic data analysis and predictive modeling. * Experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server, SQLite). * Experience with real-time databases (e.g., NI Citadel, Prometheus). * Experience with data visualization (e.g., MS Power BI, Tableau, Denodo, Grafana). * Experience with version control systems (e.g., Mecurial, Git, SVN). * Experience with Microsoft Office Word, Excel, PowerPoint, SharePoint. * Familiar with NI LabVIEW graphical programming language. * Familiar with network security measures across isolated networks (e.g., Air-gapped). Visa sponsorship is not available for this position. Special Requirements: * Q or L clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. Security, Credentialing, and Eligibility Requirements: * This position requires the ability to obtain and maintain an HSPD-12 PIV badge. * For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. * Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. * To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: * If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. * Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. Benefits at ORNL: ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience. Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Pet Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. Relocation: Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ***********************. #LI-DC1 This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email ***********************. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer. Nearest Major Market: Knoxville

A leading financial services company seeks a Data Scientist 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. #J-18808-Ljbffr

08-Jan-2026 Sr Data Scientist US Remote 10571BR As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. ************** Business Summary The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged - consider joining us as we explore the limitless opportunities of the software industry. Position Responsibilities Job Summary As a Sr Data Scientist, you will lead data science initiatives from problem definition through production deployment, driving business impact through advanced analytics and predictive modeling. You will develop and implement predictive models for forecasting, optimization, and risk assessment, leveraging statistical and machine learning techniques. This role requires strong analytical skills, business acumen, and the ability to communicate insights effectively to both technical and non-technical stakeholders. You will mentor junior team members, establish best practices, and partner with engineering teams to ensure seamless model deployment and monitoring. Staying current with industry trends and evaluating new tools and techniques are essential for success in this position. Key Responsibilities Lead data science initiatives from problem definition through production deployment Drive business impact through advanced analytics and predictive modeling Develop predictive models for forecasting, optimization, and risk assessment using statistical and machine learning techniques Design and execute experiments (A/B testing, multivariate testing) to measure feature impact and validate model performance Analyze complex business problems across project management, resource planning, financial forecasting, and operational efficiency domains Develop advanced predictive analytics models for project cost overruns, resource optimization, cash flow prediction, and bid/win probability Communicate insights effectively to technical and non-technical stakeholders, including executives; create compelling visualizations and presentations Mentor junior data scientists and analysts; establish best practices for statistical analysis, model development, and reproducible research Partner with engineering teams to ensure smooth transition of models from research to production; define monitoring metrics and success criteria Stay current with industry trends in data science, ML, and AI; evaluate new techniques and tools for potential application Qualifications Required Qualifications 5-7 years of data science experience with demonstrated business impact through analytics and modeling in enterprise or SaaS environments Strong foundation in statistics, probability, experimental design, hypothesis testing, and regression analysis Proficiency in supervised/unsupervised learning, ensemble methods, time series forecasting, and model evaluation Expert programming skills in Python (pandas, scikit-learn, statsmodels) and SQL; experience with R is a plus Strong skills in creating insightful visualizations using Tableau, Power BI, matplotlib, or Plotly Experience with Spark, distributed computing, or processing large-scale datasets Ability to translate business problems into analytical frameworks; track record of driving measurable business outcomes Excellent presentation skills; ability to explain complex concepts to diverse audiences including senior leadership This position requires US Citizenship Preferred Qualifications Domain expertise in professional services, project-based businesses, government contracting, construction, or architecture/engineering MS/PhD in Statistics, Data Science, Economics, Operations Research, or quantitative field preferred; exceptional BS candidates considered Why Join Deltek? At Deltek, you will be part of a dynamic and innovative team committed to leveraging data science and AI to drive business transformation. Deltek fosters a collaborative culture that values professional growth, flexibility, and continuous learning. You will have the opportunity to work on impactful projects, develop your skills, and contribute to industry-leading solutions. Deltek's advanced AI capabilities empower employees to deliver cutting-edge analytics and insights, making it an ideal environment for data science professionals seeking meaningful career development and the chance to shape the future of enterprise technology. Compensation Info The U.S. salary range for this position is $91,000.00-$160,750.00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity. Benefits and perks listed here may vary depending on the nature of employment with Deltek. Employees have access to healthcare benefits, a 401(k) plan and company match, paid vacation time and holidays, well-living programs, short-term and long-term disability coverage, basic life insurance and tuition reimbursement. Position Type FT Travel Requirements No Compliance Requirements Certain roles may have additional privacy, security and compliance requirements to the extent they support Costpoint GCCM or similar product offerings. EEO Statement Deltek, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. E-Verify Statement Deltek, Inc., utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for Deltek is eligible to work in the United States. To learn more about E-Verify you can call or visit their website by clicking the logo below. E-Verify is a registered trademark of the United States Department of Homeland Security. Applicant Privacy Notice Deltek is committed to the protection and promotion of your privacy. In connection with your application for employment with us at Deltek, it is necessary for us to collect, store and use information about you ("Personal Data") to administer and evaluate your application. We are the "controller" of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this Employment Candidate Privacy Notice. Additionally, we have not sold and do not sell Personal Data you provide to us through the job application process.

**Category:** Analytics and Emerging Digital Technologies **Alternate Location(s):** United States, Georgia, Atlanta United States, North Carolina, Charlotte United States, Texas, Houston United States, Texas, Dallas United States, Illinois, Chicago **Position ID:** J0126-0520 **Employment Type:** Full Time **Position Description:** CGI is seeking a versatile Healthcare Data Scientist/Engineer to join our team supporting CGI PulseAI for Healthcare delivery. This role is critical in bridging the gap between raw healthcare data and actionable insights. You will be responsible for designing and maintaining robust data pipelines while developing predictive models and analytics that improve health outcomes and operational efficiency. This role will work on a hybrid basis out of any location within the United States local to a CGI office. **Your future duties and responsibilities:** Data Engineering: Design, build, and maintain scalable ETL/ELT pipelines to ingest healthcare data (Claims, EMR/EHR, Pharmacy, and Lab results). Model Development: Develop and deploy machine learning models for risk stratification, disease prediction, and utilization management. Healthcare Interoperability: Work with healthcare data standards, including FHIR, HL7, and ICD-10/CPT coding. Data Quality: Ensure the integrity and security of Protected Health Information (PHI) in compliance with HIPAA regulations. Collaboration: Work closely with clinical staff and business stakeholders to translate complex data into clear, visual stories and strategic recommendations. **Required qualifications to be successful in this role:** Education: Master's or Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Experience: Minimum of 3 years of experience in a data-centric role, specifically within the healthcare or health insurance industry. Technical Stack: * Languages: Proficiency in Python (Pandas, Scikit-learn, PySpark) and advanced SQL. Cloud: Experience with cloud platforms (AWS, Azure, or GCP) and big data tools (Databricks, Snowflake). Orchestration: Experience with Airflow, Databricks, and version control (Git). Domain Knowledge: Deep understanding of healthcare revenue cycles, payer operations, or clinical informatics. Preferred Skills Experience with Natural Language Processing (NLP) for unstructured clinical notes. Familiarity with Visualization tools like Tableau or PowerBI. Knowledge of Medical Claims lifecycle and Quality Measures (HEDIS/STARS). Pay Transparency & Benefits Anticipated Salary Range (Colorado & Remote): $89,600.00 - $188,100.00 USD Actual compensation will be determined based on factors such as geographical location, skills, experience, and education. Benefits: At CGI, we offer a comprehensive benefits package including: Competitive base salary and profit participation (bonus). Share Purchase Plan with employer match. Health, dental, and vision insurance. 401(k) retirement plan with company match. Flexible paid time off and paid holidays. Application Deadline: Applications for this role are accepted on an ongoing basis. We anticipate the initial application window to close by February 28, 2026. **Skills:** + Cloud Computing + Health Care Payers + Python + SQL **What you can expect from us:** **Together, as owners, let's turn meaningful insights into action.** Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because... You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world. Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_****************** . You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. **Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.** We make it easy to translate military experience and skills! Clickhere (*************************** to be directed to our site that is dedicated to veterans and transitioning service members. All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

Requisition Id 15751 The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory is seeking qualified applicants for a Machine Learning Engineer position for health research projects. The research activities include HIPAA compliant research data that has been entrusted to ORNL. As such, you will have the opportunity to work on some of the most challenging and impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. You will work in a collaborative research and development environment focusing on designing and implementing robust and high performance applications for biomedical research. We are looking for someone who has innovative thinking to design and implement machine learning, statistical, probabilistic, or algorithmic solutions to real world problems in the healthcare and biomedical research. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. Major Duties/Responsibilities: As a Machine Learning Data Engineer, you will be responsible for: * Independently solving a variety of sophisticated technical problems for scientific and technical projects. * Developing high-quality code following best practices in the community for documentation, provenance, version control, etc. * Managing, maintaining, and refactoring ML codebases, pipelines, and workflows. * Collaborating closely with research staff to design and implement novel ML approaches. * Implementing scalable ML methods and workflows for high-performance computing (HPC) resources, in close collaboration with research staff and computing technical staff. * Mobilizing and leading data analysis activities on projects with a focus on common deliverables, goals, and timelines. * Troubleshooting data analysis issues, including implementation issues, hyper-parameter choices, and modeling decisions. * Assisting in preparation of manuscripts and dissemination of research results in publications and conferences. * Working on a variety of data analysis assignments in collaboration with scientists and engineers. * Working in secure enclaves and open computing environments on a wide variety of applied areas. * Conducting tasks independently and communicate optimally to team members and stakeholders. * Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success. Basic Qualifications: * B.S. and 5+ years of relevant experience, or an M.S. and 4+ years of relevant experience. * Degree area should be in Computer Science, Statistics, Information Systems, Engineering, or closely related field. * Significant expertise with the Python ecosystem for data science. * Significant expertise with PyTorch or Tensorflow. Preferred Qualifications: * Foundational understanding of supervised and unsupervised learning, reinforcement learning, and deep learning. * Experience with large, multimodal datasets. * Experience developing scalable ML algorithms and workflows for HPC resources. * Experience working on Linux/Unix platforms. * Self-disciplined work ethic and eagerness to tackle ambitious research problems. * Experience with heath care informatics and clinical data is highly desired. * Excellent written and oral communication skills. * Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to constantly evolving needs. Security, Credentialing, and Eligibility Requirements: For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. Benefits at ORNL: ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience. In addition, we offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ***********************. #li-kc1 This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer. Nearest Major Market: Knoxville

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. This team focuses on enhancing the developer experience and optimizing our credit card technology organization for efficiency. You will build robust data pipelines and data products that provide data insights, key performance metrics, and allow engineers to dedicate more time to creative development. This horizontal team offers unique exposure to various divisions of the organization, creating an environment where learning is truly a never-ending process. Some of the technologies we currently leverage include Python, Spark, AWS, GoLang, GraphQL, and SQL. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Richmond, VA: $147,100 - $167,900 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. Bank Tech is seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. We're not just supporting a bank; we're redefining the tech foundation for a financial giant. As Bank Tech, we are leading the charge to become the first bank to build an internal, integrated, and fully modernized core banking platform. If you're passionate about modular, resilient, cloud-native, and secure engineering, you'll find your challenge here. We're building common capabilities and cutting-edge, real-time technology solutions that power critical lines of business including our Retail Bank, Small Business Bank, Commercial Bank, and Capital One Shopping. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Data Engineer Richmond, VA: $147,100 - $167,900 for Senior Data Engineer Wilmington, DE: $147,100 - $167,900 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One's foundational cloud infrastructure layer, including observability, connectivity, resilience and availability. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 2+ years of experience working with Databricks 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Data Engineer Plano, TX: $147,100 - $167,900 for Senior Data Engineer Richmond, VA: $147,100 - $167,900 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).