Data Scientist with ML
Data scientist job in Reston, VA
Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support.
MUST have experience with Python, PyTorch, Flask (knowledge at minimum with ability to quickly pickup), Familiarity with REST APIs (at minimum), Statistics background/experience, Basic understanding of NLP.
Desired skills for a candidate include experience performance R&D with natural language processing, deploying CNN and LLMs or foundational models, deploying ML models on multimedia data, experience with Linux System Administration (or bash), experience with Android Configuration, experience in embedded systems (Raspberry Pi).
Required Skills and Demonstrated Experience
Demonstrated experience in Python, Javascript, and R.
Demonstrated experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch.
Demonstrated experience with statistical inference, as well as building and understanding predictive models, using machine learning methods.
Demonstrated experience with large-scale text analytics.
Desired Skills
Demonstrated hands-on experience performing research or development with natural language processing and working with, deploying, and testing Convolutional Neural Networks (CNN), large-language models (LLMs) or foundational models.
Demonstrated experience developing and deploying testing and verification methodologies to evaluate algorithm performance and identify strategies for improvement or optimization.
Demonstrated experience deploying machine learning models on multimedia data, to include joint text, audio, video, hardware, and peripherals.
Demonstrated experience with Linux System Administration and associated scripting languages (Bash)
Demonstrated experience with Android configuration, software development, and interfacing.
Demonstrated experience in embedded systems (Raspberry Pi)
Develops and conducts independent testing and evaluation methods on research-grade algorithms in applicable fields.
Reports results and provide documentation and guidance on working with the research-grade algorithms.
Evaluates, Integrates and leverage internally-hosted data science tools.
Customize research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or through custom methods
Location:
Reston, Virginia
This position is onsite and there is no remote availability.
Clearance:
Active TS/SCI with Full Scope Polygraph
Applicant MUST hold a permanent U.S. citizenship for this position in accordance with government contract requirements.
Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.
Data Scientist (LLM & Financial data)
Data scientist job in Charlotte, NC
Job Responsibilities:
Analyze large financial datasets to extract insights and support business decisions.
Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation).
Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance.
Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
Communicate findings and recommendations through reports, dashboards, and presentations.
Work with data engineers to ensure data quality and pipeline reliability.
Junior Data Scientist (TS/SCI)
Data scientist job in Springfield, VA
We are seeking a junior-level Data Science professional with a strong academic foundation and early hands-on experience to join our team as a Exploitation Specialist. The ideal candidate will hold a bachelor's degree in a data science-related field and bring internship or project experience that demonstrates curiosity, initiative, and a willingness to learn from senior team members. This role is a great opportunity for someone eager to grow their technical skill set while supporting a high-impact mission.
Required Qualifications
Active TS/SCI clearance with the willingness to obtain a CI polygraph
Ability to work onsite in Northern Virginia, 40 hours per week (telework options are extremely limited)
Proficiency with Python and SQL
Preferred Qualifications
Familiarity with GEOINT collection and related NGA/NRO systems
Experience with additional programming languages such as R, JavaScript, HTML, and CSS
Understanding of object-oriented programming
Experience using visualization tools such as Grafana, Tableau, or Kibana
Ability to quickly learn new technologies, adapt to evolving mission requirements, and support the development/testing of new analytic methodologies
Senior Data Scientist
Data scientist job in Charlottesville, VA
Senior / Principal Data Scientist
Employment Type: 12 Month Contract-to-hire
About Us
Our client is an engineering consultancy delivering advanced testing, analytics, and consulting services to organizations worldwide. Our mission is to leverage cutting-edge technology and data-driven insights to improve safety and performance in sports and related industries.
Role Overview
We are seeking a Senior / Principal Data Scientist to lead modeling and analytics initiatives across diverse domains, including:
Computer Vision: Detect and interpret events from game video.
Sensor Data Analysis: Event detection from athlete-worn devices.
Generative AI: Develop solutions to deliver actionable insights to end users.
You will design and implement machine learning models, build simulation-based tools, and create dashboards that provide injury risk assessments and mitigation strategies. This role involves research, algorithm development, and presenting findings to executive stakeholders.
Key Responsibilities
Develop and implement advanced machine learning models and algorithms.
Build analytical tools and dashboards using frameworks like Shiny, Dash, or Streamlit.
Collaborate with cross-functional teams to deliver actionable insights.
Present research and analytics to leadership and clients.
Qualifications
Education: MS or PhD in Computer Science, Statistics, or related STEM field.
Strong understanding of machine learning theory and structure.
Proficiency in Python or R and experience with common ML libraries.
Experience with SQL/NoSQL databases and distributed processing.
5+ years of post-graduate experience in engineering, consulting, or leadership roles.
Preferred:
Background in biomechanics or sports analytics.
Publications or conference contributions in relevant fields.
Experience with professional sports organizations.
Consulting experience with executive-level presentations.
Ideal Candidate
You are passionate about applying data science to enhance athlete safety and performance. You thrive in collaborative environments and enjoy building innovative solutions that make a real-world impact.
Senior Data Scientist
Data scientist job in McLean, VA
Purpose:
As a Data Scientist, you will play a key role in delivering impactful, data-driven solutions for our strategic enterprise clients. This role also offers the opportunity to shape and grow Infocepts' Data Science & AI practice, contributing to high-impact AI/ML initiatives, crafting data-driven narratives for stakeholders, and applying advanced techniques to solve complex business problems from strategy to execution.
Key Result Areas and Activities:
Design, build, and deploy AI/ML solutions using modern cloud and data platforms.
Lead data science projects across industries, ensuring alignment with business goals.
Apply supervised, unsupervised, deep learning, and Generative AI (e.g., LLMs, agentic workflows) techniques to address client use cases.
Collaborate with data engineering teams to optimize model pipelines using Delta Lake and Spark.
Communicate findings effectively through data visualizations and stakeholder presentations.
Drive adoption of MLOps practices for scalable and reliable model deployment.
Contribute to the evolution of Infocepts' Data Science & AI offerings through innovation and knowledge sharing.
Roles & Responsibilities
Essential Skills
5+ years of experience in applied AI and machine/deep learning.
Hands-on experience with Databricks, MLflow, PySpark, and Spark MLlib.
Proficiency in Python and SQL for model development and data manipulation.
Strong understanding of supervised and unsupervised learning, deep learning, and Generative AI.
Familiarity with cloud platforms: AWS, Azure, and GCP.
Solid foundation in advanced statistical methods and probabilistic analysis.
Ability to lead end-to-end AI/ML projects, including design, development, and stakeholder management.
Experience with visualization tools like Tableau, Power BI, or similar.
Familiarity with ML workflow orchestration and MLOps practices.
Desirable Skills
Experience with LLMs (Large Language Models) and agentic AI workflows.
Familiarity with modern data platforms like Snowflake.
Exposure to real-time data processing in cloud-native environments.
Contributions to open-source AI projects or publications in data science communities.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
Certifications in cloud platforms (AWS, Azure, GCP) or Databricks are a plus.
Qualities:
Able to consult, write, and present persuasively
Able to work in a self-organized and cross-functional team
Able to iterate based on new information, peer reviews, and feedback
Able to work seamlessly with clients across multiple geographies
Research focused mindset
Excellent analytical, presentation, reporting, documentation and interactive skills
"Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."
Senior Data Scientist
Data scientist job in Charlotte, NC
About Us:
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ********************
Role: Senior Data Scientist - Generative AI & Solution Architecture
Location: Charlotte, NC
Work Mode - Hybrid (2-3 days from client office)
Experience: 10+ Years
Job Description
We are looking for a Senior Data Scientist to lead the design and implementation of a Generative AI-driven Contract Risk Reporting System. This role involves building advanced RAG pipelines, a reporting engine, and an interactive chatbot. The ideal candidate combines deep technical expertise, AI/ML fundamentals, and the ability to interpret legal contract language into actionable solution requirements, while engaging directly with clients.
Key Responsibilities:
Architect and deliver AI solutions for contract risk analysis and reporting.
Design and implement LLM-based RAG systems, reporting dashboards, and conversational interfaces.
Translate legal domain requirements into technical specifications.
Collaborate with clients for requirement gathering, solution validation, and presentations.
Ensure MLOps best practices, model monitoring, and Model Risk Management (MRM) compliance.
Required Skills:
Expertise in Generative AI, LLMs, RAG architectures, and NLP techniques.
Strong foundation in machine learning algorithms, model evaluation, and feature engineering.
Hands-on experience with MLOps pipelines, model governance, and risk controls.
Proficiency in Python, LangChain, Vector Databases, and Cloud platforms (AWS/Azure/GCP).
Ability to interpret legal contract language and map it to technical solutions.
Excellent communication, client engagement, and solution design skills.
Preferred:
Experience in legal tech, contract analytics, or risk management solutions.
Familiarity with prompt engineering, domain-specific fine-tuning, and LLM optimization.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Principal Data Architect
Data scientist job in Raleigh, NC
Our client, a leader in their industry, has an excellent opportunity for a Principal Data Architect to work on a 12-month+ contract with an option to hire if the fit is right in Raleigh, NC. This position is hybrid work, with on-site 3 days and 2 days remotely.
Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $95/hour - $115/hour w-2
Responsibilities:
Define and drive the long-term data architecture vision and provide strategic data leadership for the organization
Lead the architecture and implementation of scalable ingestion and transformation patterns, establishing Snowflake FinOps practices and enterprise standards for Data Vault, dbt, and ingestion tooling.
Spearhead research initiatives in emerging data technologies and architectural paradigms
Shape enterprise-wide data governance policies and standards
Provide thought leadership and industry influence
Represent the organization at high-profile industry events and conferences
Mentor senior data professionals and foster a culture of innovation
Requirements:
12+ years of experience in enterprise data architecture or engineering, with a strong focus on data platforms and AI-enablement
Proven experience designing and delivering large-scale data systems in cloud-native environments, specifically Snowflake and AWS
Proven experience designing enterprise-scale data ingestion frameworks using Snowflake (Snowpipe, Tasks, Streams), Data Vault modeling, dbt, and modern ingestion tools such as Qlik, Fivetran, or Matillion.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
Strong communication and executive presentation skills
Player-coach mindset and a highly collaborative approach
Passion for experimentation and continuous learning
Strategic thinking with an eye for emerging trends
Preferred:
• Experience in regulated industries such as banking, healthcare, or insurance
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available and that may result in pay outside of the range provided.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact ********************.
Job ID: JN-092025-103677
Life Actuary
Data scientist job in Charlotte, NC
Why USAA?
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.
The Opportunity
We are seeking a qualified Life Actuary to join our diverse team. The ideal candidate will possess strong risk management skills, with a particular focus on Interest Rate Risk Management and broader financial risk experience. This role requires an individual who has acquired their ASA designation or FSA designation and has a few years of meaningful experience.
Key responsibilities will include experience in Asset-Liability Management (ALM), encompassing liquidity management, asset allocation, cashflow matching, and duration targeting. You will also be responsible for conducting asset adequacy testing to ensure the sufficiency of assets to meet future obligations. Experience in product pricing, especially for annuity products. Furthermore, an understanding of Risk-Based Capital (RBC) frameworks and methodologies is required. Proficiency with actuarial software platforms, with a strong preference for AXIS, is highly advantageous.
We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL.
Relocation assistance is not available for this position.
What you'll do:
Performs complex work assignments using actuarial modeling software driven models for pricing, valuation, and/or risk management.
Reviews laws and regulations to ensure all processes are compliant; and provides recommendations for improvements and monitors industry communications regarding potential changes to existing laws and regulations.
Runs models, generates reports, and presents recommendations and detailed analysis of all model runs to Actuarial Leadership.
May make recommendations for model adjustments and improvements, when appropriate.
Shares knowledge with team members and serves as a resource to team on raised issues and navigates obstacles to deliver work product.
Leads or participates as a key resource on moderately complex projects through concept, planning, execution, and implementation phases with minimal guidance, involving cross functional actuarial areas.
Develops exhibits and reports that help explain proposals/findings and provides information in an understandable and usable format for partners.
Identifies and provides recommended solutions to business problems independently, often presenting recommendation to leadership.
Maintains accurate price level, price structure, data availability and other requirements to achieve profitability and competitive goals.
Identifies critical assumptions to monitor and suggest timely remedies to correct or prevent unfavorable trends.
Tests impact of assumptions by identifying sources of gain and loss, the appropriate premiums, interest margins, reserves, and cash values for profitability and viability of new and existing products.
Advises management on issues and serves as a primary resource for their individual team members on raised issues.
Ensures risks associated with business activities are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
What you have:
Bachelor's degree; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
4 years relevant actuarial or analytical experience and attainment of Fellow within the Society of Actuaries; OR 8 years relevant actuarial experience and attainment of Associate within the Society of Actuaries.
Experience performing complex work assignments using actuarial modeling software driven models for pricing, valuation, and/or risk management.
Experience presenting complex actuarial analysis and recommendations to technical and non-technical audiences.
What sets you apart:
Asset-Liability Management (ALM): Experience in ALM, including expertise in liquidity management, asset allocation, cashflow matching, and duration targeting.
Asset Adequacy Testing: Experience conducting asset adequacy testing to ensure the sufficiency of assets to meet future obligations.
Product Pricing: Experience in pricing financial products, with a particular emphasis on annuity products.
Risk-Based Capital (RBC): Experience with risk-based capital frameworks and methodologies.
Actuarial Software Proficiency: Familiarity with actuarial software platforms. Experience with AXIS is considered a significant advantage.
Actuarial Designations: Attainment of Society of Actuaries Associateship (ASA) or Fellowship (FSA).
Compensation range: The salary range for this position is: $127,310 - $243,340.
USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Auto-ApplyData Engineer
Data scientist job in Richmond, VA
Data Engineer - Distributed Energy Resources (DER)
Richmond, VA - Hybrid (1 week on - 1 week off)
12-month contract (Multiple Year Project)
$45-55/hr. depending on experience
We are hiring a Data Integration Engineer to join one of our Fortune 500 utilities partners in the Richmond area! In this role, you will support our client's rapidly growing Distributed Energy Resources (DER) and Virtual Power Plant (VPP) initiatives. You will be responsible for integrating data across platforms such as Salesforce, GIS, SAP, Oracle, and Snowflake to build our client's centralized asset tracking system for thermostats, EV chargers, solar assets, home batteries, and more.
In this role, you will map data, work with APIs, support Agile product squads, and help design system integrations that enable our client to manage customer energy assets and demand response programs at scale. This is a highly visible position on a brand-new product team with the chance to work on cutting-edge energy and utility modernization efforts. If you are interested, please apply!
MINIMUM QUALIFICATIONS:
3-5 years of experience in system integration, data engineering, or data warehousing and Bachelor's degree in Computer Science, Engineering, or related technical discipline.
Hands-on experience working with REST APIs and integrating enterprise systems.
Strong understanding of data structures, data types, and data mapping.
Familiarity with Snowflake or similar data warehousing platform.
Experience connecting data across platforms and/or integrating data from a variety of sources, i.e. SAP, Oracle, etc.
Ability to work independently and solve problems in a fast-paced Agile environment.
Excellent communication skills with the ability to collaborate across IT, business, engineering, and product teams.
RESPONSIBILITIES:
Integrate and map data across Salesforce, GIS, Snowflake, SAP, Oracle, and other enterprise systems
Link distributed energy asset data (EV chargers, thermostats, solar, home batteries, etc.) into a unified asset tracking database
Support API-first integrations: consuming, analyzing, and working with RESTful services
Participate in Agile ceremonies and work through user stories in Jira
Collaborate with product owners, BAs, data analysts, architects, and engineers to translate requirements into actionable technical tasks
Support architecture activities such as identifying data sources, formats, mappings, and integration patterns
Help design and optimize integration workflows across new and existing platforms
Work within newly formed Agile product squads focused on VPP/Asset Tracking and Customer Segmentation
Troubleshoot integration issues and identify long-term solutions
Contribute to building net-new systems and tools as the client expands DER offerings
NICE TO HAVES:
Experience with Salesforce.
Experience working with GIS systems or spatial data.
Understanding customer enrollment systems.
Jira experience.
WHAT'S IN IT FOR YOU…?
Joining our client provides you the opportunity to join a brand-new Agile product squad, work on high-impact energy modernization and DER initiatives, and gain exposure to new technologies and integration tools. This is a long-term contract with strong likelihood of extension in a stable industry and company.
Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
Senior Data Engineer
Data scientist job in Durham, NC
We are seeking an experienced Senior Big Data & Cloud Engineer to design, build, and deliver advanced API and data solutions that support financial goal planning, investment insights, and projection tools. This role is ideal for a seasoned engineer with 10+ years of hands-on experience in big data processing, distributed systems, cloud-native development, and end-to-end data pipeline engineering.
You will work across retail, clearing, and custody platforms, leveraging modern cloud and big data technologies to solve complex engineering challenges. The role involves driving technology strategy, optimizing large-scale data systems, and collaborating across multiple engineering teams.
Key Responsibilities
Design and develop large-scale data movement services using Apache Spark (EMR) or Spring Batch.
Build and maintain ETL workflows, distributed pipelines, and automated batch processes.
Develop high-quality applications using Java, Scala, REST, and SOAP integrations.
Implement cloud-native solutions leveraging AWS S3, EMR, EC2, Lambda, Step Functions, and related services.
Work with modern storage formats and NoSQL databases to support high-volume workloads.
Contribute to architectural discussions and code reviews across engineering teams.
Drive innovation by identifying and implementing modern data engineering techniques.
Maintain strong development practices across the full SDLC.
Design and support multi-region disaster recovery (DR) strategies.
Monitor, troubleshoot, and optimize distributed systems using advanced observability tools.
Required Skills :
10+ years of experience in software/data engineering with strong big data expertise.
Proven ability to design and optimize distributed systems handling large datasets.
Strong communicator who collaborates effectively across teams.
Ability to drive architectural improvements and influence engineering practices.
Customer-focused mindset with commitment to delivering high-quality solutions.
Adaptable, innovative, and passionate about modern data engineering trends.
Data Engineer
Data scientist job in Charlotte, NC
C# Senior Developer RESOURCE TYPE: W2 Only Charlotte, NC - Hybrid Mid (5-7 Years) Role Description A leading Japanese bank is in the process of driving a Digital Transformation across its Americas Division as it continues to modernize technology, strengthen its data-driven approach, and support future growth. As part of this initiative, the firm is seeking an experienced Data Engineer to support the design and development of a strategic enterprise data platform supporting Capital Markets and affiliated securities businesses.
This role will contribute to the development of a scalable, cloud-based data platform leveraging Azure technologies, supporting multiple business units across North America and global teams.Role Objectives
Serve as a member of the Data Strategy team, supporting broker-dealer and swap-dealer entities across the Americas Division.
Participate in the active development of the enterprise data platform, beginning with the establishment of reference data systems for securities and pricing data, and expanding into additional data domains.
Collaborate closely with internal technology teams while adhering to established development standards and best practices.
Support the implementation and expansion of the strategic data platform on the bank's Azure Cloud environment.
Contribute technical expertise and solution design aligned with the overall Data Strategy roadmap.
Qualifications and Skills
Proven experience as a Data Engineer, with strong hands-on experience in Azure cloud environments.
Experience implementing solutions using:
Azure Cloud Services
Azure Data Factory
Azure Data Lake Gen2
Azure Databases
Azure Data Fabric
API Gateway management
Azure Functions
Strong experience with Azure Databricks.
Advanced SQL skills across relational and NoSQL databases.
Experience developing APIs using Python (FastAPI or similar frameworks).
Familiarity with DevOps and CI/CD pipelines (Git, Jenkins, etc.).
Strong understanding of ETL / ELT processes.
Experience within financial services, including exposure to financial instruments, asset classes, and market data, is a strong plus.
Data Conversion Engineer
Data scientist job in Charlotte, NC
Summary/Objective
Are you looking to work at a high growth, innovative, and purpose driven FinTech company? If so, you'll love Paymentus. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill payment and presentment for more than 1700 clients. We are a SaaS provider that enables companies to help their customers simplify their financial lives. We do that by making it easier for consumers and businesses to pay bills, plus move and manage money to achieve strong financial health. We continually build upon a massively scalable platform, supporting thousands of businesses and millions of transactions on a daily basis. We're looking for high performers to join our team who excel in their expertise and who can transform plans into action. You'll have the opportunity to grow in an environment where intelligence, innovation, and leadership are valued and rewarded.
About the Role
The Data Conversion Engineer serves as a key component of the Platform Integrations team, providing technical support and guidance on data conversion projects. Conversions are an integral part in ensuring adherence to Paymentus' standards for a successful launch. This role is essential to ensure all bill payment data converts properly and efficiently onto the Paymentus platform.
Responsibilities
Develop data conversion procedures using SQL, Java and Linux scripting
Augment and automate existing manual procedures to optimize accuracy and reduce time for each conversion
Develop and update conversion mappers to interpret incoming data and manipulate it to match Paymentus' specifications
Develop new specifications to satisfy new customers and products
Serve as the primary point of contact/driver for all technical related conversion activities
Review conversion calendar and offer technical support and solutions to meet deadlines and contract dates
Maintain and update technical conversion documentation to share with internal and external clients and partners
Work in close collaboration with implementation, integration, product and development teams using exceptional communication skills
Adapt and creatively solve encountered problems under high stress and tight deadlines
Learn database structure, business logic and combine all knowledge to improve processes
Be flexible
Monitor new client conversions and existing client support if needed; provide daily problem solving, coordination, and communication
Management of multiple projects and conversion implementations
Ability to proactively troubleshoot and solve problems with limited supervision
Qualifications
B.S. Degree in Computer Science or comparable experience
Strong knowledge of Linux and the command line interface
Exceptional SQL skills
Experience with logging/monitoring tools (AWS Cloudwatch, Splunk, ELK, etc.)
Familiarity with various online banking applications and understanding of third-party integrations is a plus
Effective written and verbal communication skills
Problem Solver - recognizes the need to resolve issues quickly and effectively, uses logic to solve problems; identifies problems and brings forward multiple solution options; knows who/when to involve appropriate people when troubleshooting issues
Communication; ability to use formal and informal written and/or verbal communication channels to inform others; articulates ideas and thoughts clearly both verbally and in writing
Dynamic and self-motivated; able to work on their own initiative and deliver the objectives required to maintain service levels
Strong attention to detail
Proficiency with raw data, analytics, or data reporting tools
Preferred Skills
Background in the Payments, Banking, E-Commerce, Finance and/or Utility industries
Experience with front end web interfaces (HTML5, Javascript, CSS3)
Cloud technologies (AWS, GCP, Azure)
Work Environment
This job operates in a professional office environment. This role routinely uses standard office equipment such as laptop computers, photocopiers and smartphones.
Physical Demands
This role requires sitting or standing at a computer workstation for extended periods of time.
Position Type/Expected Hours of Work
This is a full-time position. Days and hours of work are Monday through Friday, 40 hours a week. Occasional evening and weekend work may be required as job duties demand.
Travel
No travel is required for this position.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Equal Opportunity Statement
Paymentus is an equal opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, ancestry, citizenship status, religion, marital status, disability, military service or veteran status, genetic information, medical condition including medical characteristics, or any other classification protected by applicable federal, state, and local laws and ordinances. Our management is dedicated to ensuring the fulfillment of this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment.
Reasonable Accommodation
Paymentus recognizes and supports its obligation to endeavor to accommodate job applicants and employees with known physical or mental disabilities who are able to perform the essential functions of the position, with or without reasonable accommodation. Paymentus will endeavor to provide reasonable accommodations to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so would impose an undue hardship on the Company or pose a direct threat of substantial harm to the employee or others. An applicant or employee who believes he or she needs a reasonable accommodation of a disability should discuss the need for possible accommodation with the Human Resources Department, or his or her direct supervisor.
AWS Data Engineer
Data scientist job in Charlotte, NC
We are looking for a skilled and experienced AWS Data Engineer with 10+ Years of experience to join our team. This role requires hands-on expertise in AWS serverless technologies, Big Data platforms, and automation tools. The ideal candidate will be responsible for designing scalable data pipelines, managing cloud infrastructure, and enabling secure, reliable data operations across marketing and analytics platforms.
Key Responsibilities:
Design, build, and deploy automated CI/CD pipelines for data and application workflows.
Analyze and enhance existing data pipelines for performance and scalability.
Develop semantic data models to support activation and analytical use cases.
Document data structures and metadata using Collibra or similar tools.
Ensure high data quality, availability, and integrity across platforms.
Apply SRE and DevSecOps principles to improve system reliability and security.
Manage security operations within AWS cloud environments.
Configure and automate applications on AWS instances.
Oversee all aspects of infrastructure management, including provisioning and monitoring.
Schedule and automate jobs using tools like Step Functions, Lambda, Glue, etc.
Required Skills & Experience:
Hands-on experience with AWS serverless technologies: Lambda, Glue, Step Functions, S3, RDS, DynamoDB, Athena, CloudFormation, CloudWatch Logs.
Proficiency in Confluent Kafka, Splunk, and Ansible.
Strong command of SQL and scripting languages: Python, R, Spark.
Familiarity with data formats: JSON, XML, Parquet, Avro.
Experience in Big Data engineering and cloud-native data platforms.
Functional knowledge of marketing platforms such as Adobe, Salesforce Marketing Cloud, and Unica/Interact (nice to have).
Preferred Qualifications:
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
AWS, Big Data, or DevOps certifications are a plus.
Experience working in hybrid cloud environments and agile teams.
Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please get in touch with your recruiting contact.
Click the following link for more information on your rights as an Applicant **************************************************************************
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
AWS Data Engineer (Only W2)
Data scientist job in Charlotte, NC
Title: AWS Data Engineer
Exprience: 10 years
Must Have Skills:
• Strong experience in AWS services, primarily serverless, databases, storage services, container services, schedulers, and batch services.
• Experience in Snowflake and Data Build Tool.
• Expertise in DBT, NodeJS and Python.
• Expertise in Informatica, PowerBI , Database, Cognos.
Nice to Have Skills:
Detailed Job Description:
• Strong experience in AWS services, primarily serverless, databases, storage services, container services, schedulers, and batch services.
• Experience in Snowflake and Data Build Tool.Expertise in DBT, NodeJS and Python.
• Expertise in Informatica, PowerBI , Database, Cognos.
• Proven experience in leading teams across locations.
• Knowledge of DevOps processes, Infrastructure as Code and their purpose.
• Good understanding of data warehouses, their purpose, and implementation
• Good communication skills.
Kindly share the resume in ******************
Palantir Data Engineer
Data scientist job in Charlotte, NC
Build and maintain data pipelines and workflows in Palantir Foundry.
Design, train, and deploy ML models for classification, optimization, and forecasting use cases.
Apply feature engineering, data cleaning, and modeling techniques using Python, Spark, and ML libraries.
Create dashboards and data applications using Slate or Streamlit to enable operational decision-making.
Implement generative AI use cases using large language models (GPT-4, Claude, etc)
Data Engineer
Data scientist job in Durham, NC
Immediate need for a talented Data Engineer. This is a 12+ months contract opportunity with long-term potential and is located in Durham, NC(Onsite). Please review the job description below and contact me ASAP if you are interested.
Job Diva ID: 25-95096
Pay Range: $65 - $70 /hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Requirements and Technology Experience:
Key skills; SQL Stored Procedures
Aurora Postgres
AWS (S3, Glue, Lambda functions)
Java API Development
Basic Snowflake experience
Disaster Recovery
Bachelor's degree in Computer Science (or closely related)
5+ years of experience in application and REST API development using Java
Proven experience writing microservices with Java
Strong in managing API to database connections using different relational database drivers (Oracle, PostgreSQL, etc.)
Demonstrated experience developing, debugging and tuning complex SQL statements, PL/SQL packages and procedures
Hands-on experience building highly resilient, scalable, and efficient solutions using AWS services like Lambda, Glue, step functions, etc.
Hands-on experience with Aurora Postgres a big plus
Experience with DevOps or CI/CD Pipelines using Maven, Jenkins, Terraform, Github, Ansible, etc.
Experience in managing high volume customer-facing application traffic for API's
Knowledge of Messaging Technologies (Kafka, Kinesis, SNS, SQS)
Desire and ability to learn and implement new technologies
Keen ability to see complex challenges from multiple perspectives, and leaning in to solve independently or with others
Knowledge of how to develop highly scalable distributed systems using Open-Source technologies
Proven knowledge of AWS via Associate, Professional, or Specialty Certification(s) a big plus
Ability to validate, monitor, and solve issues during development, testing, or in production
Excellent communication skills, both through written and verbal channels
Our client is a leading financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
By applying to our jobs, you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
Senior Data Engineer
Data scientist job in McLean, VA
The candidate must have 5+ years of hands on experience working with PySpark/Python, microservices architecture, AWS EKS, SQL, Postgres, DB2, Snowflake, Behave OR Cucumber frameworks, Pytest (unit testing), automation testing and regression testing.
Experience with tools such as Jenkins, SonarQube AND/OR Fortify are preferred for this role.
Experience in Angular and DevOps are nice to haves for this role.
Must Have Qualifications: PySpark/Python based microservices, AWS EKS, Postgres SQL Database, Behave/Cucumber for automation, Pytest, Snowflake, Jenkins, SonarQube and Fortify.
Responsibilities:
Development of microservices based on Python, PySpark, AWS EKS, AWS Postgres for a data-oriented modernization project.
New System: Python and PySpark, AWS Postgres DB, Behave/Cucumber for automation, and Pytest
Perform System, functional and data analysis on the current system and create technical/functional requirement documents.
Current System: Informatica, SAS, AutoSys, DB2
Write automated tests using Behave/cucumber, based on the new micro-services-based architecture
Promote top code quality and solve issues related to performance tuning and scalability.
Strong skills in DevOps, Docker/container-based deployments to AWS EKS using Jenkins and experience with SonarQube and Fortify.
Able to communicate and engage with business teams and analyze the current business requirements (BRS documents) and create necessary data mappings.
Preferred strong skills and experience in reporting applications development and data analysis
Knowledge in Agile methodologies and technical documentation.
Snowflake Data Engineer
Data scientist job in Durham, NC
Experience in developing and proficient in SQL and knowledge on Snowflake cloud computing environments
Knowledge on Data warehousing concepts and metadata management Experience with data modeling, Data lakes
multi-dimensional models and data dictionaries
Hands-on experience with Snowflake features like Time Travel and Zero-Copy Cloning. Experience in query performance
tuning and cost optimization in a cloud data platform
Knowledge in Snowflake warehousing, architecture, processing and administration , DBT , Pipeline
Hands-on experience on PLSQL Snowflake
•Excellent personal communication, leadership, and organizational skills.
•Should be well versed with various Design patterns
Knowledge of SQL database is a plus
Hands-on Snowflake development experience is must
Work with various cross-functional groups, tech leads from other tracks
Need to work with team closely and guide them technically/functionally Must be a team player with good attitude
DataOps Engineer
Data scientist job in Lynchburg, VA
What You've Accomplished
Completion of a Bachelor's Degree in Computer Science or technical/business discipline, or comparable experience in lieu of degree
At least 6 years of directly related experience
An advanced degree (MS or PhD) may substitute for >7 years of related work experience.
Familiar with a variety of the Information Technology concepts, practices, and procedures
Basic written and verbal communication skills
Proficiency with PC based applications such as MS Office
Ability to interact effectively with all levels of staff and management
Ability to change priorities quickly, confront issues directly and work well as part of a team.
You are ready to join Framatome and help deliver clean, safe energy and advance nuclear technology.
Who You Are
Your actions, behaviors, and decisions are made in a manner consistent with our Core Values: ***************************************************
You may have also acquired the following skills:
Proven experience with DataOps and Continuous Integration/Continuous Delivery/Deployment.
Expertise in Cloud Data and Orchestration Tools: Modern data tools in a cloud environment such as Azure Data Factory and Databricks
Strong Data Engineering & Scripting Skills: Advanced knowledge of SQL - tools and workflows like ETL
Excellent System Design & Automation: Architect, optimize, and troubleshoot complex data pipelines using tools like Bicep to manage and automate cloud resources.
Familiar with emerging data technologies
Your Opportunity
This full-time role is about making an impact on people's lives and the future of clean energy. You will leverage your skills and experience to be part of an innovative team and make a difference for our customers. As a DataOps Engineer in Lynchburg, VA, you will be part of the proven team in the Corporate Business Unit. This role will work alongside other system architects, AI developers, project leads, application owners, and database administrators to develop various solutions. The candidate is expected to have experience with AZURE development objects and interpreting business requirements, in order to create robust and time saving solutions for our customers. We are seeking individuals committed to delivering and improving quality services to our internal customers. This position will require 3 days in the office, 2 remote days, and occasional travel. Together we will enable clean, safe, and economical low-carbon energy to meet the global ambition for a better tomorrow.
Who We Are
Framatome is an international leader in nuclear energy recognized for its innovative solutions and value-added technologies for the global nuclear fleet. More than 2,000 dedicated U.S. Framatome employees work every day to supply ever cleaner, safer, and more economical low-carbon energy for our communities and world. As well as supporting new nuclear builds, advancing new technology and advancing nuclear energy in the U.S. and abroad. Like you, we want a brighter future.
Discover Lynchburg, Virginia: *************************************
Any employment offer is contingent upon the successful completion of a background investigation and drug screen (as applicable).
Your Total Rewards Package
The range of base salary for the position is between $97,000 - $131,000 and may also include annual incentives, performance bonuses and benefits. Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location.
Framatome offers a broad employee benefits portfolio as a key component of your total rewards. This includes:
Multiple medical plans; dental and vision plans; Life and Accidental Death and Dismemberment; long- and short-term disability; optional plans including dependent life, accident, critical illness and hospital indemnity insurance; retirement savings plans (401k) with employer match; paid time off including up to 3 weeks of vacation, 8 days of sick leave, and 13 paid holidays; education reimbursement; adoption assistance; employee assistance programs; opportunities for professional development.
Positions within Framatome may require access to proprietary information that is subject to U.S. export control regulations. As such, the Company must ensure that any hires for these job openings fully comply with all US regulations. Foreign national applicants that are citizens or residents of countries not included on the Department of Energy's Generally Authorized Destinations list may not be eligible for immediate need positions. See list here: **************************************************************************************************
Framatome is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
Actuarial Analyst III
Data scientist job in Roanoke, VA
Location: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.
Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.
The Actuarial Analyst III completes very diverse and complicated projects and performs very complex actuarial studies.
How You Will Make an Impact:
Primary duties may include, but are not limited to:
* Analyzes and implements risk contracts including conducting experience analyses, pricing, filing and settlement work; and prepares management reports supporting new capitation initiatives.
* Assists in training of actuarial trainees, analysts and specialists.
* Coordinates/directs special actuarial projects.
Minimum Requirements:
Requires a BA/BS and to have passed a minimum of four Society of Actuaries (SOA) actuarial exams and a minimum of 3 years related experience; or any combination of education and experience, which would provide an equivalent background.
For candidates working in person or virtually in the below location(s), the salary* range for this specific position is $86,640 to $164,160.
Locations: California; Colorado, Minnesota, New York
In addition to your salary, Elevance Health offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws.
* The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
Job Level:
Non-Management Exempt
Workshift:
Job Family:
ACT > Actuarial
Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.
Who We Are
Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.
How We Work
At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.
We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.
Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.
The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.
Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact ******************************************** for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.