Data engineer jobs in Durham, NC

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . 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Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health * We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. * We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. * We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. Job Responsibilities Summary The Principal Clinical Data Scientist provides strategic and operational leadership for end-to-end clinical data collection, cleaning, and quality oversight across complex clinical studies. This role serves as the functional lead for Clinical Data Science, ensuring clinical data deliverables are fit for purpose, compliant with regulatory and contractual requirements, and aligned with sponsor expectations and study timelines. The position partners cross-functionally to drive data quality, risk mitigation, analytics innovation, and timely delivery of clinical data milestones. Responsibilities * Serve as the Data Management Functional Lead for Clinical Data Science on complex, multi-scope clinical projects and act as the primary liaison between Clinical Data Science, Project Management, Clinical Monitoring, and other functional groups. * Develop Data Management Plan, Communicate, troubleshoot, and resolve complex data-related issues; recommend solutions and escalate issues impacting patient safety, data integrity, or study analysis * Act as the central steward of clinical data quality through holistic review of clinical and operational data using detailed protocol and therapeutic area knowledge. * Ensure required data elements and corresponding data quality oversight steps are identified to support defined study analyses. * Coordinate cross-functional data cleaning activities to meet quality standards, timelines, and contractual obligations. * Communicate, troubleshoot, and resolve complex data-related issues; recommend solutions and escalate issues impacting patient safety, data integrity, or study analysis. * Develop Clinical Data Acquisition Plans and data flow diagrams for complex studies and align data flow with study protocols, regulatory requirements, and study endpoints. * Assess risks related to protocol design, program-level strategies, and study parameters that may impact data credibility and trial reliability. * Design and drive development of analytical tools and dashboards to identify potentially unreliable or high-risk data. * Perform analytic reviews as defined in the scope of work and data acquisition plans; identify root causes and implement systematic resolutions. * Demonstrate understanding of advanced technologies and assess their applicability to individual studies or programs. * Monitor and communicate project progress using status reports, tracking tools, and metrics to Sponsors and internal teams. * Ensure launch, delivery, and completion of Clinical Data Science milestones in compliance with contracts, SOPs, guidelines, and regulatory requirements. * Collect and analyze metrics to support continuous process improvement initiatives. * Review and manage Clinical Data Science budgets, identify out-of-scope activities, and initiate change orders through Project Management. * Plan, manage, and allocate Clinical Data Science resources and coordinate the work of assigned team members. * Develop and maintain project plans, specifications, and documentation in compliance with SOP requirements. * Maintain ongoing documentation and ensure Trial Master File (TMF) completeness and accuracy. * Participate in and present at internal, Sponsor, investigator, and third-party meetings. * Provide input to proposals, bid defenses, and RFP responses and promote new Clinical Data Science business opportunities aligned with Sponsor strategies. * Prepare documentation for and participate in internal and external audits. * Train and mentor junior team members and maintain proficiency in Clinical Data Science systems through ongoing training. * Perform other duties as assigned. Qualifications Education * Bachelor's degree in Biological Sciences, Computer Science, Mathematics, Data Science, or related discipline required. * Master's degree preferred. * Equivalent relevant experience may be considered in lieu of degree. Experience * Minimum of 10 years of experience in Clinical Data Management and/or Clinical Data Science. * At least 5 years of project management experience. * Experience with Clinical Data Science practices and relational database management systems. * In-depth knowledge of the drug development lifecycle, including risk-based data quality approaches and biometrics workflows. Skills & Knowledge * Expertise in protocol interpretation, data collection strategies, and data cleaning specification development. * Knowledge of ALCOA++ data quality principles. * Knowledge of medical terminology, clinical trial data, and ICH/GCP regulatory requirements. * Proficiency with Microsoft Word, Excel, PowerPoint, email, and Windows-based applications. * Strong leadership, communication, organizational, and time-management skills. * Ability to manage multiple priorities in a fast-paced, dynamic environment. * Ability to work independently and collaboratively across multidisciplinary teams. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $95,000.00 - $175,700.00 The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. *************************** Additional Information Tasks, duties, and responsibilities as listed in this are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Summary Principal Clinical Data Scientist- Clinical Data Management Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong.

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Green Card and USC :- At least 7+ years of overall experience HDFS architecture and understanding of all critical architectural concepts including type of nodes, node interaction, YARN, Zoo Keeper, and Map reduce etc . Hand on experience in Hive: All concepts including Hive queries, UDF, Different file formats like ORC, AVRO, and Parquet etc. Hand on experience in developing Sqoop, Spark. Experience in processing structured data - Warehousing Concepts like de-duplication, cleansing, look ups, transformation, data versioning etc. Hand on experience in developing Oozie workflow definition and execution Knowledge of a HDFS distribution preferably Cloudera. Understanding of Monitoring and operational capabilities of the distribution Knowledge of Flume, Kafka is a plus Hand on experience in programming languages like Java, Python, Perl. At least 4 years of experience in translating functional /non-functional requirements to system requirements. Experience in working with business users to analyze and understand business data and scenarios. Ability to work in a team environment with client interfacing skills. Experience and desire to work in a Global delivery environment. Experience leading medium to large sized teams. CloudEra Certification Knowledge of PLSQL. Job Description:- At least 7+ years of overall experience HDFS architecture and understanding of all critical architectural concepts including type of nodes, node interaction, YARN, Zoo Keeper, and Map reduce etc . Hand on experience in Hive: All concepts including Hive queries, UDF, Different file formats like ORC, AVRO, and Parquet etc. Hand on experience in developing Sqoop, Spark. Experience in processing structured data - Warehousing Concepts like de-duplication, cleansing, look ups, transformation, data versioning etc. Hand on experience in developing Oozie workflow definition and execution Knowledge of a HDFS distribution preferably Cloudera. Understanding of Monitoring and operational capabilities of the distribution Knowledge of Flume, Kafka is a plus Hand on experience in programming languages like Java, Python, Perl. At least 4 years of experience in translating functional /non-functional requirements to system requirements. Experience in working with business users to analyze and understand business data and scenarios. Ability to work in a team environment with client interfacing skills. Experience and desire to work in a Global delivery environment. Experience leading medium to large sized teams. CloudEra Certification Knowledge of PLSQL. Qualifications Basic Qualifications :- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 4 years of experience within the Information Technologies. Additional Information Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen , Green Card Holder , GC-EAD , H4-EAD & L2-EAD can apply. No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume .

Temp Data Scientist - Boston, MA or NC, NH, RI, TX, MA, or CO (18 month contract- probable extension or permanent conversion) Notes: Master's Degree Required Python development to build time series models Run SQL queries Linux OS administration Any web development experience preferred. Experience working with Artificial Intelligence, Machine learning algorithms, neural networks, decision trees, modeling, Cloud Machine Learning, time series analysis and robotics process automation. Description: We are seeking a hands-on experienced data scientist with financial services industry experience. As part of a small, nimble team, the associate's key differentiating abilities will be exceptional analytical skills, and an ability to conceive of and develop differentiated products for the benefit of customers. Absolutely critical is the associate's ability to carry an initiative from idea through to execution. 5+ years' experience in Information security/technology risk management for large-scale, complex IT infrastructures and distributed environments or an equivalent combination of related training and experience Analytic Skills: In addition to core regression, classification and time series skills that accompany the data science role, experience with next best action (NBA) prediction, multi-armed bandits, online learning, A/B testing, and experimentation methods are preferred Natural programmer, and confirmed industry experience with statistics and data modeling Experience with one or more of the following tools/frameworks - python, scikit-learn, nltk, pandas, numpy, R, pyspark, scala, SQL/big data tools, TensorFlow, PyTorch, etc Education- At least one advanced degree (Master or PhD level) in a technical or mathematically-oriented discipline, e.g., coursework or experience in fields such as statistics, machine learning, computer science, applied mathematics, econometrics, engineering, etc. Extensive experience in written and oral communications/presentations, and ability to produce a variety of business documents (business requirements, technical specs, slide presentations, etc.) that demonstrate command of language, clarity of thought, and orderliness of presentation We are looking for an authority quantitative developer to advance the research and development of AI/ML methods as components in the delivery of creative investment management technology solutions. You will have experience combining multi-variate statistical modeling, predictive machine learning methods and open-source approaches to Cloud computing and Big Data.

Job Description Note: Only on W2 Must be local to either Cary, NC or Irving, TX Client: Caterpillar Education: • Bachelors or Masters are required Qualifications: • 5+ years of experience are required Top Skills: • Proficiency in Python, SQL, and data science libraries (Pandas, Scikit-learn, TensorFlow) • Strong foundation in statistics, probability, and machine learning • Familiarity with cloud platforms (Azure, AWS, Snowflake) and data modeling • Excellent communication skills to explain technical concepts to non-technical stakeholders Job Duties: • A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making. • This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. • Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability • Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets • Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making • Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings • Automation & Optimization: Develop scripts and tools to automate data processing and model deployment • Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals • Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges

**A Day in the Life:** The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL SENIORSHIP + Communication with internal and external business users on Sterling Integrator mappings + Making changes to existing partner integrations to meet internal and external requirements + Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. + Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. + Facilitate the review, vetting of these designs with the architecture governance bodies, as required. + Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of Seniorship within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required + 5+ years of IT experience + 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) + 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

As a Senior Data Scientist II, you will leverage your advanced analytical skills to extract insights from complex datasets. Your expertise will drive data-driven decision-making and contribute to the development of innovative solutions. You will collaborate with cross-functional teams to enhance business strategies and drive growth through actionable data analysis. · Leading the development of advanced AI and machine learning models to solve complex business problem · Working closely with other data scientists and engineers to design, develop, and deploy AI solutions · Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs · Building models, performing analytics, and creating AI features · Mentoring junior data scientists and provide guidance on AI and machine learning best practices Working with product leaders to apply data science solutions We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements 3-5+ years of professional experience (POST GRAD) as a delivery-focused Data Scientist or ML Engineer Understand how LLMs integrate to complex systems Deep understanding of RAG Strong in Python Expeirence creating AI Agents and Agentic Workflows Masters and PHD

We are seeking a motivated Data Scientist with strong technical skills in machine learning and a passion for continuous learning. The ideal candidate will have foundational experience in building predictive and prescriptive models using Python, PySpark, and modern ML frameworks (TensorFlow, PyTorch, XGBoost, LightGBM). This role requires the ability to write production-ready code, develop automated model monitoring workflows, create visualization dashboards, and work collaboratively in Agile environments with cross-functional teams. This position is 4 days in office, 1 day remote per week, based at our corporate headquarters in Raleigh, North Carolina (North Hills) Key Responsibilities: Model Development & Technical Expertise Design and implement predictive and prescriptive models for regression, classification, and optimization problems. Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM). Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch. Write efficient, production-ready code and frameworks optimized for scalability and deployment. Build automated workflows for model monitoring and performance evaluation. Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, shapley values etc. Rapidly prototype and test hypotheses to validate model approaches. Collaboration & Communication Should be a team player and should have a strong desire to learn new technologies and methodologies. Agile Execution Operate effectively in Agile environments, contributing to iterative development cycles and sprint planning. Adapt quickly to changing priorities while maintaining high standards of quality and innovation. Education & Experience: 1+ years of experience in Data Science, Machine Learning, AI/GenAI. Master's degree in computer science, Statistics, Operations Research, Mathematics or similar. Familiarity of GenAI and agentic solutions, Retrieval-Augmented Generation (RAG) and model distillation is a plus. Preferred: Experience in Retail Industry AI/ML certifications in Vertex AI/Databricks/AWS. California Residents click below for Privacy Notice: ***************************************************

Akkodis is seeking a Qlik Data Engineer for a Contract with a client in Raleigh, NC(Remote). You will design and automate scalable data ingestion pipelines and implement optimized data models for efficient storage and retrieval. Proficiency in Qlik platforms and strong SQL expertise is essential for success in this role. Rate Range: $49/hour to $53/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Qlik Data Engineer job responsibilities include: * Design and develop scalable ETL/ELT pipelines using Qlik tools (Qlik Replicate, Qlik Compose) for batch and real-time data processing. * Automate data ingestion and application reloads using Qlik Automate or scripting (e.g., Python) to improve efficiency. * Implement and optimize data models in Snowflake schema for efficient storage and retrieval. * Monitor and troubleshoot data integration processes, ensuring performance and resolving bottlenecks. * Collaborate with cross-functional teams to gather requirements and deliver actionable data solutions. * Ensure data quality and governance by implementing validation frameworks and compliance measures. Required Qualifications: * Bachelor's degree in computer science, Information Technology, or related field. * 3-7 years of experience in data engineering and Qlik platform development. * Proven expertise in Qlik tools (Qlik Replicate, Qlik Compose, Qlik Sense) and strong proficiency in SQL for data integration and transformation. * Hands-on experience with Snowflake and AWS cloud services, along with knowledge of ETL/ELT processes and data modeling techniques. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at ****************************. Pay Details: $49.00 to $53.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ************************************************* The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: * The California Fair Chance Act * Los Angeles City Fair Chance Ordinance * Los Angeles County Fair Chance Ordinance for Employers * San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job Description Azurity Pharmaceuticals is a privately held, specialty pharmaceutical company that focuses on innovative products that meet the needs of underserved patients. As an industry leader in providing unique, accessible, and high-quality medications, Azurity leverages its integrated capabilities and vast partner network to continually expand its broad commercial product portfolio and robust late-stage pipeline. The company's patient-centric products span the cardiovascular, neurology, endocrinology, gastro-intestinal, institutional, and orphan markets, and have benefited millions of patients. For more information, visit **************** Azurity Pharmaceuticals is proud to be an inclusive workplace and an Equal Opportunity Employer. Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do. We seek highly motivated individuals with the dedication, integrity, and creative spirit needed to thrive in our organization. Brief team/department description: Enterprise Data & Analytics (EDA) develops secure and scalable data products, as well as user-focused applications, utilizing Palantir Foundry to support commercial, executive, and enterprise-level decision-making. We collaborate closely with business stakeholders and functional teams to deliver robust production pipelines, ontologies, and applications. Principle Responsibilities: Own the reference design patterns for Foundry-based data products across ingestion, transformation, Ontology modeling, and application layers. Design, build, and optimize production pipelines with robust testing, data quality checks, lineage, and observability. Lead development of user-facing Foundry applications, including information architecture, access controls, and performance tuning. Establish engineering standards and CI/CD practices for Foundry assets and related cloud services. Evaluate and implement access patterns to Snowflake and other sources with clear guidance on cost, latency, and resiliency. Serve as Foundry subject-matter expert for the EDA team; coach and upskill engineers through pair-programming, design reviews, and reusable patterns. Partner with Palantir and vendors on solution design, issue triage, upgrade readiness, and best-practice adoption. Champion data governance, privacy, and security controls aligned with regulatory requirements. Define and track SLOs for pipelines and applications; implement alerting, error-handling, and automated recovery to minimize downtime. Collaborate with product and business stakeholders to translate use cases into roadmaps, delivery plans, and measurable outcomes. Qualifications and Education Requirements 5+ years of experience in data engineering/analytics engineering OR software engineering 2+ years hands-on with Palantir Foundry. Demonstrated delivery of production Foundry applications used by business users. Strong Spark optimization skills; proficiency with Git-based workflows and CI/CD for Foundry assets. Proven ability to set reference architectures, lead design reviews, and mentor engineers new to Foundry. Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) #LI_Hybrid Physical & Mental Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be able to sit for long periods of time While performing the duties of this job, the employee is frequently required to stand; walk; sit; talk and/or hear May occasionally climb stairs and/or ride elevators The employee must occasionally lift and/or move up to 25 pounds Employee must be able to manipulate keyboard, operate a telephone and hand-held devices Other miscellaneous job duties as required Benefits We Offer: Unlock Your Earning Potential: Join our team and be rewarded with a competitive compensation package, including an annual bonus based on company performance, that recognizes your exceptional talent. Sales - In lieu of annual bonuses, we offer an Incentive compensation program that allows you to earn more - even over plan. Fuel Your Success: * Sales Only* - We understand the value of your hard work and provide a car reimbursement program and gas card for both business and personal use as part of our commitment to supporting you. Comprehensive Health Coverage: We value your well-being and offer excellent medical, dental, vision, and prescription coverage to ensure you and your family are always taken care of. Flexibility for Your Lifestyle: Achieve work-life balance with our hybrid work model, allowing you to work two days from home and three days in the office. * Excludes Sales, Manufacturing, and some Operations positions* Invest in Your Future: Our Retirement Savings Plan (401K) is designed to help you secure a comfortable retirement by matching dollar for dollar up to 5%. Time Off That Counts: Take advantage of our generous time off policy, which offers up to 15 vacation days annually + rollover (up to 40 hours) as well as five sick/wellness days. For new employees, vacation accrual will be prorated based on your start date. Meaningful Time with Your Loved Ones: We close between Christmas and New Year's to give you an extra week off to spend quality time with your family and recharge. Enjoy the Holidays: Over the course of the year, Azurity recognizes 13 holidays. Invest in Your Education: We support your professional growth with tuition reimbursement for undergraduate and graduate level courses or certifications. Recognize and Be Recognized: Our Azurity High Five peer recognition platform allows you to celebrate your colleagues' accomplishments and receive recognition for your own outstanding work. The California Consumer Privacy Act regulates privacy rights and consumer protection for residents of California, United States. For details, click here. The General Data Protection Regulation (GDPR) sets guidelines for the collection and processing of personal information from individuals who live in the European Union (EU).

Note: No recruiters Note: Applicants must have permanent work authorization in the US; we are not sponsoring visas for this role Note: This is an in-office position, we are default ‘in office' and if you are not in the Raleigh, NC/Triangle area, you must relocate at your own expense, we do not have a relocation package/budget for this role. About the Role ReFiBuy is looking for a Web Data Extraction (WDE) Engineer. On behalf of our retail, brand and agency customers, our platform monitors many external systems via a variety of mechanisms including API, MCP, A2A and WDE (aka crawling, spidering, scraping). We are looking for someone that can own this part of our platform from soup to nuts. You'll design and implement a modern Agentic solution that self-monitors, self-heals and adapts to any changes. We utilize a variety of proprietary and commercially available systems to retrieve publicly available information. Required Experience: Proficiency in programming languages such as Python, C#, or Typescript Mastery of Web Technologies: Understanding of HTML, CSS, and JavaScript Experience using Web Data Extraction systems like Scrapy, Puppeteer, or crawl4ai Understanding of search engine optimization and web crawling Experience using AI Coding tools ( > 1 year) Experience with distributed computing in a cloud environment (>3yrs) End-to-end product skills from concept through to delivery Undergraduate BS in Computer Science/Engineering Nice to Have: Typescript / React / NextJS ETL System experience Experience with containerized workload systems (Docker, Kubernetes) Experience with build automation/CI Experience with DevOps Experience with AWS technologies (S3, RDS, SNS, etc.) What We Value: Code Quality: Clean, maintainable, well-structured code following established patterns Architecture Awareness: Understanding of component composition, separation of concerns Attention to Detail: UI/UX that feels polished and intuitive Learning new technologies and adapting to evolving requirements Hunger to learn, intellectual curiosity We believe we're more efficient in the office, get off Zoom and see the World in 3D. What You'll Learn: Latest AI development tools (ClaudeCode, Cursor, etc.) Real-time features and WebSocket connections AI-powered user interfaces and chat experiences Multi-tenant SaaS architecture considerations Benefits While we're a seed-stage startup, ReFiBuy offers: Health, Dental, Vision - 80% of base plan covered by ReFiBuy 401k w/ match: 100% of contribution up to 1% of salary and 50% up to 5%, no vesting Incentive Stock Options (ISOs) - As an early stage startup, you get in on the ground floor, 4yr quarterly vesting. Parking is covered by ReFiBuy Office: We work out of the Raleigh Founded office at 509 W. North St, Raleigh, NC 27603 which offers a Glenwood South location, where you can easily walk to restaurants and amenities. The facility offers a spacious breakroom, hang out areas, Wellness room and more. About ReFiBuy (refibuy.ai) Founded by four experienced ecommerce operators (ChannelAdvisor, Rithum, MikMak, Walmart), ReFiBuy is one of the most experienced AI startups in the Triangle. We are AI Native, meaning everything we do starts and ends with an AI foundation. Compared to traditional companies you will feel like you are going 100x faster. Compared to a traditional startup, 10-20x faster. If you like to build great and fast, be innovative, go home exhausted from learning so much, and work on projects where you make an immediate impact, ReFiBuy is perfect for you! ReFiBuy is an Equal Opportunity Employer.

Opportunity for Secondment to AskBio We're pleased to share an exciting secondment opportunity at AskBio. This role is available for a time period to be determined by leadership at both Bayer and AskBio. While most assignments range from one to two years, the exact duration will be based on business needs and mutual agreement. This secondment offers a unique chance to broaden your experience, expand your knowledge, and contribute meaningfully to AskBio's mission: to advance gene therapy and change the lives of patients around the world. If you're interested in exploring this opportunity, we encourage you to: Speak with your direct manager to discuss your interest and alignment with your development goals. Apply directly using the link provided in the posting. We look forward to seeing how our colleagues continue to grow and make an impact across the Bayer-AskBio partnership. Our vision: Pioneering science to create transformative molecular medicines. Our mission: Lead innovative science and drive clinical outcomes to transform people's lives. Our principles: Advance innovative science by pushing boundaries. Bring transformative therapeutics to patients in need. Provide an environment for employees to reach their fullest potential. Our values: Be a Pioneer. We are not afraid of the impossible and to innovate to make gene therapies accessible to those in need. Cultivate Collaboration. Strive to be the best teammate, actively listen, openly communicate, and embrace diverse points of view. Embrace Responsibility. We are humbled by the enormity of our mission. We hold a relentless commitment to advance science and clinical outcomes for our patients, families, and caregivers. Raise the Bar. Continuously drive improvements and efficiencies. Seek and provide constructive feedback. Have a bias for learning and action. Act with Uncompromising Integrity. Be honest, transparent, and committed to doing what's right in every situation. Make clear commitments and follow through. Position Summary The Data Engineer plays a pivotal role in shaping and driving the evolution of our global biopharmaceutical lab network's data landscape. This position is responsible for designing and implementing data strategies, frameworks, and pipelines that enable the seamless capture, integration, and utilization of scientific and operational data across a diverse range of laboratory instruments and platforms. The Data Engineer ensures that our data architecture vision is strategically aligned with the organization's scientific and business objectives, supporting the advancement of research, development, and innovation. This leader will provide operational oversight for all data architecture initiatives, including developing long-term roadmaps, managing cross-functional collaboration, and establishing governance structures that uphold data quality, security, and compliance. The Data Engineer will also drive the adoption of best practices by partnering with stakeholders across research, business, and technology domains, and by facilitating the resolution of complex data challenges. Through proactive engagement and clear communication, this role will deliver regular updates on the data architecture portfolio to executive and departmental leadership, ensuring transparency and alignment as we transform data into actionable insights and strategic value. This position will be based in RTP, NC or Philadelphia, PA and will report to the Associate Director, IT Infrastructure. Job Responsibilities Strategy & Planning Develop and deliver long-term strategic goals for the company's data architecture vision, creating a multi-year roadmap that aligns with scientific and business objectives Establish and govern the processes for identifying, collecting, and managing corporate metadata. Implement methods for tracking and improving data quality, completeness, and lineage across systems Create and enforce strategies for data security, backup, disaster recovery, and archiving, ensuring all data architectures and platforms follow relevant regulatory standards (e.g., GxP, 21 CFR Part 11) Operational Management Act as the primary advocate for data management best practices, collaborating with project managers, scientific leaders, and business units on all projects involving enterprise data Collaborate closely with business leaders and scientific teams to understand data needs and priorities, translating these into actionable technical requirements Address complex data-related challenges, including systems integration, multi-platform compatibility, and data source mapping to ensure quality and consistency Document the data architecture and environment to maintain a current and accurate view of the enterprise data landscape, enabling better decision-making and impact analysis Project Based Work Develop robust, secure, and scalable architectures for capturing, storing, and managing laboratory data from instruments across global sites Establish and maintain efficient pipelines and interfaces for seamless data movement between instruments, labs, and central data repositories Standardization & Governance Develop and implement global standards for data structure, quality, and security, ensuring consistency across all lab environments Identify opportunities to optimize data usage, introducing analytics platforms and visualizations that enable better decisions, increased efficiency, and scientific breakthroughs Stay current with industry trends, new technologies, and best practices for laboratory data integration, proposing and implementing forward-looking solutions Minimum Requirements Bachelor's degree in computer science, information technology, or related field and 8+ years of relevant work experience OR Master's degree in computer science, information technology, or related field and 6+ years of relevant work experience 6+ years of experience in data architecture, data engineering, or related roles Proven hands-on experience with enterprise data modeling (conceptual, logical, physical) and business requirements analysis Strong understanding of metadata management principles and tools Experience with data processing flowcharting and life cycle methodologies Experience within the pharmaceutical, biotech, or scientific industries Expertise in data modeling, database design, and data warehouse/lake architecture (on-prem, cloud, or hybrid) Experience with modern data platforms (AWS, Azure, GCP) Excellent communication and stakeholder engagement skills with proven ability to align technical capabilities with business objectives Strong analytical and problem-solving abilities Preferred Education, Experience and Skills Experience with repository-based tools Forward-looking mindset and ability to stay current with emerging technologies Programming skills in Python, Java, or equivalent languages Track record of successful cross-functional collaboration and leadership Understanding of laboratory instrumentation, LIMS, ELN, and related data standards and protocols Experience with regulatory compliance requirements (GxP, 21 CFR Part 11) Experience developing and implementing data governance frameworks AskBio Inc. (AskBio) is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State or local laws. All employment decisions are based on valid job‐related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening by calling us at ************** or sending us an email at *****************.

Job Title: Senior Data Engineer Workplace: Hybrid - Due to in-office requirements, candidates must be local to either Raleigh, NC or Charlottesville, VA. Relocation assistance is not available Clearance Required: Not required, BUT YOU MUST BE ELIGIBLE FOR A CLEARANCE Position Overview: Elder Research, Inc. (ERI) is seeking to hire a Senior Data Engineer with strong engineering skills who will provide technical support across multiple project teams by leading, designing, and implementing the software and data architectures necessary to deliver analytics to our clients, as well as providing consulting and training support to client teams in the areas of architecture, data engineering, ML engineering and/or related areas. The ideal candidate will have a strong command of Python for data analysis and engineering tasks, a demonstrated ability to create reports and visualizations using tools like R, Python, SQL, or Power BI, and deep expertise in Microsoft Azure environments. The candidate will play a key role in collaborating with cross-functional teams, including software developers, cloud engineers, architects, business leaders, and power users, to deliver innovative data solutions to our clients. This role requires a consultative mindset, excellent communication skills, and a thorough understanding of the Software Development Life Cycle (SDLC). Candidates should have 7-12 years of relevant experience and experience in client-facing or consultative roles. The role will be based out of Raleigh NC or Charlottesville VA and will require 2-4 days of Business Travel to our customer site every 6 weeks. Key Responsibilities: Data Engineering & Analysis: * Develop, optimize, and maintain scalable data pipelines and systems in Azure environments. * Analyze large, complex datasets to extract insights and support business decision-making. * Create detailed and visually appealing reports and dashboards using R, Python, SQL, and Power BI. Collaboration & Consulting: * Work closely with software developers, cloud engineers, architects, business leaders, and power users to understand requirements and deliver tailored solutions. * Act as a subject-matter expert in data engineering and provide guidance on best practices. * Translate complex technical concepts into actionable business insights for stakeholders. Azure Expertise: * Leverage Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, and Azure Blob Storage for data solutions. * Ensure data architecture is aligned with industry standards and optimized for performance in cloud environments. SDLC Proficiency: * Follow and advocate for SDLC best practices in data engineering projects. * Collaborate with software development teams to ensure seamless integration of data solutions into applications. Required Qualifications: * Experience: 7-12 years in data engineering, analytics, or related fields, with a focus on Azure environments. * Education: Masters degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills: * Programming: Advanced expertise in Python; experience with R is a plus. * Data Tools: Proficient in SQL, Power BI, and Azure-native data tools. * Azure Knowledge: Strong understanding of Azure services, including data integration, storage, and analytics solutions. * SDLC Knowledge: Proven track record of delivering data solutions following SDLC methodologies. * Consultative Skills: Strong client-facing experience with excellent communication and presentation abilities. * Due to Customer requirements Candidates must be US Citizens or Permanent Residents of the United States of America. Preferred Skills and Qualifications: * Certifications in Azure (e.g., Azure Data Engineer, Azure Solutions Architect). * Familiarity with Azure Functions, Event Grid, and Logic Apps. * Hands-on experience with machine learning frameworks and big data processing tools (e.g., Spark, Hadoop). * Familiarity with CI/CD pipelines and DevOps practices for data engineering workflows. Why apply to this position at Elder Research? * Competitive Salary and Benefits * Important Work / Make a Difference supporting U.S. national security. * Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. * People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement. * Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

Job Title: DataOps Externalisation Engineer Hours/Shift worked: Standard US hours EST/CST Stakeholder Interaction: Internal & External- Internal Stakeholders Required to travel or work remotely - No travel required Key Responsibilities: Operates, challenges, replenishes consumable supplies, cleans equipment, and all the duties needed by the business in accordance with cGMPs, Batch Documentation, SOPs, ZSPs and JSAs as required and responsible for maintaining inspection readiness of area with minimal supervision. Actively participates and owns monitoring equipment for excessive rejects/ stoppages and utilizes performance data to escalate any problems occurring in the area that affects product quality, safety and other aspects of line performance. Trained in the CLIENT Production System standards (i.E., 5s, standard work, problem solving, Gemba, process confirmations, and performance management) towards the goal of Zero Accidents, Zero Defects, and Zero Waste. Participates in performance management entry, steps 1-3 of problem solving, and performing/maintaining OSW and 5S. Delivers against safety, quality, waste & performance objectives defined by strategy deployment and identifies and recommends areas for process improvement or alternative operating methods to increase efficiency. Recognized as an expert on operations/process and possesses the ability to troubleshoot and resolve minor equipment production stoppages. Operator possesses considerable knowledge of the job and is reliable and able to produce high quality and high quantity work. Utilizes systems/applications required for job performance (i.E., DELTA, my Learning, Free Weigh, DISY, Active Plant, IP21, SAP basic transactions for meeting production supply, etc.). Works in coordination with other associates, assistants, and/or technicians to carry out daily job responsibilities, including recognizing and assisting with troubleshooting technical issues and providing information to the next supervisory level. Demonstrates the ability to describe the technological theory of operation, product flow through equipment, and able to identify the function and purpose of all sensors, limit switches, and proximity sensors. Demonstrates the ability to conduct equipment set up changeovers and start of batch activities to the designed specifications without start up issues. Ability to certify on multiple technologies and flow to the work as needed by the business. Ability to certify on multiple technologies and flow to the work as needed by the business. Skills & Expertise: Degree + 5 Years Experience Cloud engineering experience Google cloud experience Cloud infrastructure experience Data engineering techniques experience Python experience would be preferable DevOps principles experience Azure DevOps experience GitLab experience

Job DescriptionDPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR's AI initiatives. You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.Data & MLOps Engineer DPR is a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency at all levels. We are looking for a Data & MLOps Engineer to join our team and contribute to developing robust data solutions to support our AI, Machine Learning and Data Science team. Position Overview The Data & MLOps Engineer will be instrumental in the design and implementation of scalable, cloud-native solutions to meet the growing needs of our Data and AI team. The successful candidate will demonstrate the ability to abstract complexity and create reusable, scalable patterns that accelerate development. The Data & MLOps Engineer will design, build and support the data pipelines and ML infrastructure that enable our teams to deliver reliable, high-impact analytics and AI workflows, collaborating closely with data engineers, software developers, data scientists and product teams. The role bridges Data Engineering and ML Operations, focusing on scalable data processing, robust deployment practices and continuous monitoring and improvement of production systems. Responsibilities Design distributed, cloud-native, scalable architecture for data and ML pipelines Develop CI/CD pipelines and pipeline templates to be used across Data Engineering, AI/ML and Data Science teams Automate training, testing and deployment processes for machine learning models Develop and maintain ETL pipelines to move data in real-time/stream, on-demand, and in batch emphasizing security, reusability, and data quality Leverage Infrastructure-as-code platforms such as Terraform and Bicep to automate infrastructure provisioning and streamline deployments Implementation and management of APM and observability tools such as Azure App Insights or Datadog to monitor infrastructure, focusing on ML workloads Contribute to preventive maintenance, technical debt reduction, and the promotion of clean code principles Manage and maintain cloud infrastructure in both Azure and AWS environments Qualifications Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field 3-5 years of experience in Data Engineering, DevOps, MLOps, Software Engineering or Site Reliability Engineering Strong understanding of cloud infrastructure and experience working with at least one major cloud provider Excellent troubleshooting and debugging skills, with a focus on data integrity and system optimization Proficiency in at least one objected-oriented programming language, preferably python with hands-on experience in ml frameworks like TensorFlow, PyTorch or Scikit-learn Proficiency in SQL, preferably Snowflake SQL DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. PROGRAMMING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We're always improving on the tools and technology that empower content developers worldwide. What You'll Do Epic Games is seeking an experienced Gameplay/AI Systems Programmer with an interest in Machine Learning (ML) / Large Language Models (LLMs) to join the Fortnite Game Foundations team. Our group develops new technology for Unreal Engine 6, with a focus on adapting Fortnite's systems to it. Using Scene Graph and Verse, you will help redefine Fortnite's systems in this new framework. This is a rare opportunity to help shape Epic's game engine while contributing to one of the world's most acclaimed games. In this role, you will Drive initiatives with minimal oversight to build strong, performant foundations that will last for years Analyze current Fortnite LLM systems and develop a strategic plan to unify them into NPC systems Tackle complex low-level problems to optimize or deliver high-performance systems Ensure high-quality user experiences across all supported platforms, with attention to usability for developers new to UEFN What we're looking for Professional game development experience, including shipping AAA titles featuring gameplay AI Excellent communication and interpersonal skills, self-motivated and able to work independently Strong understanding of gameplay AI systems such as Behaviour Trees, Finite State Machines, and Pathfinding Strong C++ skills for building efficient gameplay AI systems and tools Empathy for creators new to programming and game development, with a drive to make AI easy to use without losing flexibility or power Experience with live service games and consoles is a plus Experience or interest in Machine Learning or LLM technologies; prior exposure through work, courses, or personal projects is a bonus EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here. Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

Job Title: Senior Data Engineer Workplace: Hybrid - Due to in-office requirements, candidates must be local to either Raleigh, NC or Charlottesville, VA. Relocation assistance is not available Clearance Required: Not required, BUT YOU MUST BE ELIGIBLE FOR A CLEARANCE Position Overview: Elder Research, Inc. (ERI) is seeking to hire a Senior Data Engineer with strong engineering skills who will provide technical support across multiple project teams by leading, designing, and implementing the software and data architectures necessary to deliver analytics to our clients, as well as providing consulting and training support to client teams in the areas of architecture, data engineering, ML engineering and/or related areas. The ideal candidate will have a strong command of Python for data analysis and engineering tasks, a demonstrated ability to create reports and visualizations using tools like R, Python, SQL, or Power BI, and deep expertise in Microsoft Azure environments. The candidate will play a key role in collaborating with cross-functional teams, including software developers, cloud engineers, architects, business leaders, and power users, to deliver innovative data solutions to our clients. This role requires a consultative mindset, excellent communication skills, and a thorough understanding of the Software Development Life Cycle (SDLC). Candidates should have 7-12 years of relevant experience and experience in client-facing or consultative roles. The role will be based out of Raleigh NC or Charlottesville VA and will require 2-4 days of Business Travel to our customer site every 6 weeks. Key Responsibilities: Data Engineering & Analysis: Develop, optimize, and maintain scalable data pipelines and systems in Azure environments. Analyze large, complex datasets to extract insights and support business decision-making. Create detailed and visually appealing reports and dashboards using R, Python, SQL, and Power BI. Collaboration & Consulting: Work closely with software developers, cloud engineers, architects, business leaders, and power users to understand requirements and deliver tailored solutions. Act as a subject-matter expert in data engineering and provide guidance on best practices. Translate complex technical concepts into actionable business insights for stakeholders. Azure Expertise: Leverage Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, and Azure Blob Storage for data solutions. Ensure data architecture is aligned with industry standards and optimized for performance in cloud environments. SDLC Proficiency: Follow and advocate for SDLC best practices in data engineering projects. Collaborate with software development teams to ensure seamless integration of data solutions into applications. Required Qualifications: Experience: 7-12 years in data engineering, analytics, or related fields, with a focus on Azure environments. Education: Master s degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills: Programming: Advanced expertise in Python; experience with R is a plus. Data Tools: Proficient in SQL, Power BI, and Azure-native data tools. Azure Knowledge: Strong understanding of Azure services, including data integration, storage, and analytics solutions. SDLC Knowledge: Proven track record of delivering data solutions following SDLC methodologies. Consultative Skills: Strong client-facing experience with excellent communication and presentation abilities. Due to Customer requirements Candidates must be US Citizens or Permanent Residents of the United States of America. Preferred Skills and Qualifications: Certifications in Azure (e.g., Azure Data Engineer, Azure Solutions Architect). Familiarity with Azure Functions, Event Grid, and Logic Apps. Hands-on experience with machine learning frameworks and big data processing tools (e.g., Spark, Hadoop). Familiarity with CI/CD pipelines and DevOps practices for data engineering workflows. Why apply to this position at Elder Research? Competitive Salary and Benefits Important Work / Make a Difference supporting U.S. national security. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement. Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits. About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. 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, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Job DescriptionDPR is looking for an experienced AI Data Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR's AI initiatives. You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.Responsibilities Integrate the semantic layer to serve as an AI-ready knowledge base, enabling applications such as advanced analytics, prompt engineering for large language models, and intelligent data discovery while ensuring seamless connectivity and holistic data understanding across the enterprise. Develop standards, guidelines, and best practices for knowledge representation, semantic modeling, and data standardization across DPR to ensure a clear and consistent approach within the enterprise semantic layer. Establish and refine operational processes for semantic model development, including intake mechanisms for new requirements (e.g., from AI prompt engineering initiatives) and backlog management, ensuring efficient and iterative delivery. Partner closely with analytics engineers and data architects to deeply understand the underlying data models in Snowflake and develop a profound understanding of our business domains and data entities. Provide strategic guidance on how structured data can be seamlessly transformed, optimized, and semantically enriched for advanced AI consumption and traditional BI/Analytics tools. Lead the effort to establish and maintain comprehensive documentation for all aspects of the semantic layer, which includes defining and standardizing key business metrics, documenting ontological definitions, relationships, usage guidelines, and metadata for all semantic models, ensuring clarity, consistency, and ease of understanding for all data users. Evaluate and monitor the performance, quality, and usability of semantic systems, ensuring they meet organizational objectives, external standards, and the demands of AI applications. Act as a thought leader, constantly evaluating emerging trends in knowledge graphs, semantic AI, prompt engineering, and related technologies to strategically enhance DPR's capabilities in knowledge representation and data understanding. Rapidly prototype high-priority solutions in cloud platforms, demonstrating their feasibility and business value. Participate in all phases of the project lifecycle and lead data architecture initiatives. Qualifications Proven expertise in data analysis, data modeling, and data engineering with a focus on cloud- native data platforms. 5+ years of hands-on experience in semantic modeling, ontology engineering, knowledge graphs, or related AI data preparation. 3+ years of experience developing data solutions specifically for AI/ML applications leveraging structured data. 3+ years of experience with data warehousing concepts, dimensional modeling, and data governance principles as they relate to structuring data for semantic enrichment. Proficiency in SQL and experience working with cloud-based data warehouses, preferably Snowflake. Strong analytical and problem-solving skills with keen attention to detail and the ability to translate complex business concepts into logical ontologies and knowledge graph structures. Strong proficiency in SQL, Python, and PySpark. Familiarity with agile methodologies, and experience working closely with cross functional teams to manage technical backlogs. Skilled in orchestrating and automating data pipelines within a DevOps framework. Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. PROGRAMMING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We're always improving on the tools and technology that empower content developers worldwide. What You'll Do Epic Games is seeking an experienced Gameplay/AI Systems Programmer with an interest in Machine Learning (ML) / Large Language Models (LLMs) to join the Fortnite Game Foundations team. Our group develops new technology for Unreal Engine 6, with a focus on adapting Fortnite's systems to it. Using Scene Graph and Verse, you will help redefine Fortnite's systems in this new framework. This is a rare opportunity to help shape Epic's game engine while contributing to one of the world's most acclaimed games. In this role, you will Drive initiatives with minimal oversight to build strong, performant foundations that will last for years Analyze current FN LLM systems and develop a strategic plan to unify them into NPC systems Tackle complex low-level problems to optimize or deliver high-performance systems Ensure high-quality user experiences across all supported platforms, with attention to usability for developers new to UEFN What we're looking for Professional game development experience, including shipping AAA titles featuring gameplay AI Excellent communication and interpersonal skills, self-motivated and able to work independently Strong understanding of gameplay AI systems such as Behaviour Trees, Finite State Machines, and Pathfinding Strong C++ skills for building efficient gameplay AI systems and tools Empathy for creators new to programming and game development, with a drive to make AI easy to use without losing flexibility or power Experience with live service games and consoles is a plus Experience or interest in Machine Learning or LLM technologies; prior exposure through work, courses, or personal projects is a bonus EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren't limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic's generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). British Columbia Base Pay Range$182,815-$268,128 CAD ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here. Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.