Data Engineer jobs at Bristol-Myers Squibb - 275 jobs

Your work will change lives. Including your own. The Impact You'll Make As a member of Recursion's AI-driven drug discovery initiatives, you will be at the forefront of reimagining how biological knowledge is generated, stored, accessed, and reasoned upon by LLMs. You will play a key role in developing the biological reasoning infrastructure, connecting large-scale data and codebases with dynamic, agent-driven AI systems.You will be responsible for defining the architecture that grounds our agents in biological truth. This involves integrating biomedical resources to enable AI systems to reason effectively and selecting the most appropriate data retrieval strategies to support those insights. This is a highly collaborative role: you will partner with machine learning engineers, biologists, chemists, and platform teams to build the connective tissue that allows our AI agents to reason like a scientist. The ideal candidate possesses deep expertise in both core bioinformatics/cheminformatics libraries and modern GenAI frameworks (including RAG and MCP), a strong architectural vision, and the ability to translate high-potential prototypes into scalable production workflows. In this role, you will: * Architect and maintain robust infrastructure to keep critical internal and external biological resources (e.g., ChEMBL, Ensembl, Reactome, proprietary assays) up-to-date and accessible to reasoning agents. * Design sophisticated context retrieval strategies, choosing the most effective approach for each biological use case, whether working with structured, entity-focused data, unstructured RAG, or graph-based representations. * Integrate established bioinformatics/cheminformatics libraries into a GenAI ecosystem, creating interfaces (such as via MCP) that allow agents to autonomously query and manipulate biological data. * Pilot methods for tool use by LLMs, enabling the system to perform complex tasks like pathway analysis on the fly rather than relying solely on memorized weights. * Develop scalable, production-grade systems that serve as the backbone for Recursion's automated scientific reasoning capabilities. * Collaborate cross-functionally with Recursion's core biology, chemistry, data science and engineering teams to ensure our biological data and the reasoning engines are accurately reflecting the complexity of disease biology and drug discovery. * Present technical trade-offs (e.g., graph vs. vector) to leadership and stakeholders in a clear, compelling way that aligns technical reality with product vision. The Team You'll Join You'll join a bold, agile team of scientists and engineers dedicated to building comprehensive biological maps by integrating Recursion's in-house datasets, patient data, and external knowledge layers to enable sophisticated agent-based reasoning. Within this cross-functional team, you will design and maintain the biological context and data structures that allow agents to reason accurately and efficiently. You'll collaborate closely with wet-lab biologists and core platform engineers to develop systems that are not only technically robust but also scientifically rigorous. The ideal candidate is curious about emerging AI technologies, passionate about making biological data both machine-readable and machine-understandable, and brings a strong foundation in systems biology, biomedical data analysis, and agentic AI systems. The Experience You'll Need * PhD in a relevant field (Bioinformatics, Cheminformatics, Computational Biology, Computer Science, Systems Biology) with 5+ years of industry experience, or MS in a relevant field with 7+ years of experience, focusing on biological data representation and retrieval. * Proficiency in utilizing major public biological databases (NCBI, Ensembl, STRING, GO) and using standard bioinformatics/cheminformatics toolkits (e.g., RDKit, samtools, Biopython). * Strong skills in designing and maintaining automated data pipelines that support continuous ingestion, transformation, and refresh of biological data without manual intervention. * Ability to work with knowledge graph data models and query languages (e.g., RDF, SPARQL, OWL) and translate graph-structured data into relational or other non-graph representations, with a strong judgment in evaluating trade-offs between different approaches. * Competence in building and operating GenAI stacks, including RAG systems, vector databases, and optimization of context windows for large-scale LLM deployments. * Hands-on expertise with agentic AI frameworks (e.g., MCP, Google ADK, LangChain, AutoGPT) and familiarity with leading LLMs (e.g., Google Gemini/Gemma) in agentic workflows, including benchmarking and evaluating agent performance on bioinformatics/cheminformatics tasks such as structure prediction, target identification, and pathway mapping. * Strong Python skills and adherence to software engineering best practices, including CI/CD, Git-based version control, and modular design. * Excellent cross-functional communication skills, ability to clearly explain complex architectural decisions to both scientific domain experts and technical stakeholders. Nice to Have * Strong background in machine learning and deep learning, including hands-on experience with foundation models and modern neural architectures. * Fine-tuning LLMs on scientific corpora for domain-specific reasoning. * Integrating LLMs with experimental or proprietary assay data in live scientific workflows. * Background in drug discovery and target identification. * Meaningful contributions to open-source libraries, research codebases, or community-driven tools. Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 - $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DNI The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion 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, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Your work will change lives. Including your own. The Impact You'll Make As a member of Recursion's AI-driven drug discovery initiatives, you will be at the forefront of reimagining how biological knowledge is generated, stored, accessed, and reasoned upon by LLMs. You will play a key role in developing the biological reasoning infrastructure, connecting large-scale data and codebases with dynamic, agent-driven AI systems.You will be responsible for defining the architecture that grounds our agents in biological truth. This involves integrating biomedical resources to enable AI systems to reason effectively and selecting the most appropriate data retrieval strategies to support those insights. This is a highly collaborative role: you will partner with machine learning engineers, biologists, chemists, and platform teams to build the connective tissue that allows our AI agents to reason like a scientist. The ideal candidate possesses deep expertise in both core bioinformatics/cheminformatics libraries and modern GenAI frameworks (including RAG and MCP), a strong architectural vision, and the ability to translate high-potential prototypes into scalable production workflows. In this role, you will: Architect and maintain robust infrastructure to keep critical internal and external biological resources (e.g., ChEMBL, Ensembl, Reactome, proprietary assays) up-to-date and accessible to reasoning agents. Design sophisticated context retrieval strategies, choosing the most effective approach for each biological use case, whether working with structured, entity-focused data, unstructured RAG, or graph-based representations. Integrate established bioinformatics/cheminformatics libraries into a GenAI ecosystem, creating interfaces (such as via MCP) that allow agents to autonomously query and manipulate biological data. Pilot methods for tool use by LLMs, enabling the system to perform complex tasks like pathway analysis on the fly rather than relying solely on memorized weights. Develop scalable, production-grade systems that serve as the backbone for Recursion's automated scientific reasoning capabilities. Collaborate cross-functionally with Recursion's core biology, chemistry, data science and engineering teams to ensure our biological data and the reasoning engines are accurately reflecting the complexity of disease biology and drug discovery. Present technical trade-offs (e.g., graph vs. vector) to leadership and stakeholders in a clear, compelling way that aligns technical reality with product vision. The Team You'll Join You'll join a bold, agile team of scientists and engineers dedicated to building comprehensive biological maps by integrating Recursion's in-house datasets, patient data, and external knowledge layers to enable sophisticated agent-based reasoning. Within this cross-functional team, you will design and maintain the biological context and data structures that allow agents to reason accurately and efficiently. You'll collaborate closely with wet-lab biologists and core platform engineers to develop systems that are not only technically robust but also scientifically rigorous. The ideal candidate is curious about emerging AI technologies, passionate about making biological data both machine-readable and machine-understandable, and brings a strong foundation in systems biology, biomedical data analysis, and agentic AI systems. The Experience You'll Need PhD in a relevant field (Bioinformatics, Cheminformatics, Computational Biology, Computer Science, Systems Biology) with 5+ years of industry experience, or MS in a relevant field with 7+ years of experience, focusing on biological data representation and retrieval. Proficiency in utilizing major public biological databases (NCBI, Ensembl, STRING, GO) and using standard bioinformatics/cheminformatics toolkits (e.g., RDKit, samtools, Biopython). Strong skills in designing and maintaining automated data pipelines that support continuous ingestion, transformation, and refresh of biological data without manual intervention. Ability to work with knowledge graph data models and query languages (e.g., RDF, SPARQL, OWL) and translate graph-structured data into relational or other non-graph representations, with a strong judgment in evaluating trade-offs between different approaches. Competence in building and operating GenAI stacks, including RAG systems, vector databases, and optimization of context windows for large-scale LLM deployments. Hands-on expertise with agentic AI frameworks (e.g., MCP, Google ADK, LangChain, AutoGPT) and familiarity with leading LLMs (e.g., Google Gemini/Gemma) in agentic workflows, including benchmarking and evaluating agent performance on bioinformatics/cheminformatics tasks such as structure prediction, target identification, and pathway mapping. Strong Python skills and adherence to software engineering best practices, including CI/CD, Git-based version control, and modular design. Excellent cross-functional communication skills, ability to clearly explain complex architectural decisions to both scientific domain experts and technical stakeholders. Nice to Have Strong background in machine learning and deep learning, including hands-on experience with foundation models and modern neural architectures. Fine-tuning LLMs on scientific corpora for domain-specific reasoning. Integrating LLMs with experimental or proprietary assay data in live scientific workflows. Background in drug discovery and target identification. Meaningful contributions to open-source libraries, research codebases, or community-driven tools. Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 - $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DNI The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion 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, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate. Eurofins is dedicated to delivering testing services that contribute to the health and safety of society and the planet, and to its corporate responsibility to protect the environment and ensure diversity, equity, and inclusion across the entire network of Eurofins companies. Job Description Our team is at the forefront of applying Machine Learning (ML) to interpret and process complex chemical data, specifically chromatograms and environmental testing results. We're seeking a skilled Data Engineer to design, build, and maintain the robust data pipelines and infrastructure necessary to support our ML model training, deployment, and analysis workflows. The ideal candidate has a strong foundation in data engineering, understands the unique challenges of scientific data, and is eager to work closely with both Machine Learning Engineers (MLE) and Chemists. Key Responsibilities Data Pipeline Development: Design, construct, and manage scalable and reliable ETL/ELT pipelines to ingest, clean, transform, and store raw chemistry data (e.g., CSV, JSON, and proprietary instrument formats). Data Modeling & Warehousing: Develop optimized data models and manage a data warehouse (or data lake) to support fast querying and ML feature engineering on complex datasets, including time-series and spectral data from chromatograms. ML Infrastructure: Collaborate with MLE to containerize and deploy ML models and build automated model retraining and monitoring pipelines. Data Quality & Governance: Implement robust data quality checks, validation, and monitoring to ensure the integrity and reproducibility of chemical experiment data used for ML. Tooling: Develop internal tools and APIs to facilitate data access for MLE and provide standardized interfaces for data submission from chemistry lab systems. Qualifications Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field (or equivalent practical experience) Required Experience: Programming: Expert-level proficiency in Python (including packages like Pandas, NumPy, and familiarity with data engineering libraries). Cloud & Infrastructure: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP, preferred Azure), including services related to computing, storage, and serverless functions (e.g., Azure Data Lake Storage (ADLS), Azure Compute VMs, Azure Functions). Data Orchestration: Proven experience building and managing data workflows using an orchestration tool like Apache Airflow, Prefect, or Dagster. Databases: Strong knowledge of SQL and experience working with both relational (e.g., PostgreSQL) and NoSQL databases. Version Control: Proficient with Git and standard DevOps practices Scientific Data Experience: Prior experience handling and processing complex, large-volume scientific data (e.g., mass spectrometry, chromatography, LIMS/ELN integration). MLOps: Familiarity with MLOps platforms and tools such as Azure ML Studio, MLflow, Kubeflow, or Sagemaker. Chemistry Domain: Basic understanding of analytical chemistry concepts, such as chromatography fundamentals (e.g., retention time, peak integration) and relevant file formats. Authorization to work in the United States without restriction or sponsorship Professional working proficiency in English is a requirement, including the ability to read, write and speak in English. Required General Skills Problem-Solving: Strong analytical and problem-solving skills with a focus on delivering high-quality, reproducible data solutions. Communication: Excellent verbal and written communication skills, with the ability to bridge the gap between technical infrastructure, data science models, and chemical applications. Additional Information Professional working proficiency in English is a requirement, including the ability to read, write and speak in English. As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays, paid time off, and dental and vision options. We support your development! Do you feel you don't match 100% of the requirements? Don't hesitate to apply anyway! Eurofins companies are committed to supporting your career development. We embrace diversity! Eurofins network of companies believe in strength and innovation through diversity, being an Equal Opportunity Employer. We prohibit discrimination against employees or applications based on gender identity and/or expression, race, nationality, age, religion, sexual orientation, disability, and everything else that makes employees of Eurofins companies unique. Sustainability matters to us! We are well on our way to achieving our objective of carbon neutrality by 2025, through a combination of emission reduction and compensation initiatives. We encourage our laboratory leaders to make sustainable changes at their local level, and in addition to their initiatives we also count on our dedicated carbon reduction team to help us to achieve this goal! Find out more in our career page: ***************************** Eurofins USA Environment Testing is a Disabled and Veteran Equal Employment Opportunity employer.

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate. Eurofins is dedicated to delivering testing services that contribute to the health and safety of society and the planet, and to its corporate responsibility to protect the environment and ensure diversity, equity, and inclusion across the entire network of Eurofins companies. Job Description Our team is at the forefront of applying Machine Learning (ML) to interpret and process complex chemical data, specifically chromatograms and environmental testing results. We're seeking a skilled Data Engineer to design, build, and maintain the robust data pipelines and infrastructure necessary to support our ML model training, deployment, and analysis workflows. The ideal candidate has a strong foundation in data engineering, understands the unique challenges of scientific data, and is eager to work closely with both Machine Learning Engineers (MLE) and Chemists. Key Responsibilities Data Pipeline Development: Design, construct, and manage scalable and reliable ETL/ELT pipelines to ingest, clean, transform, and store raw chemistry data (e.g., CSV, JSON, and proprietary instrument formats). Data Modeling & Warehousing: Develop optimized data models and manage a data warehouse (or data lake) to support fast querying and ML feature engineering on complex datasets, including time-series and spectral data from chromatograms. ML Infrastructure: Collaborate with MLE to containerize and deploy ML models and build automated model retraining and monitoring pipelines. Data Quality & Governance: Implement robust data quality checks, validation, and monitoring to ensure the integrity and reproducibility of chemical experiment data used for ML. Tooling: Develop internal tools and APIs to facilitate data access for MLE and provide standardized interfaces for data submission from chemistry lab systems. Qualifications Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field (or equivalent practical experience) Required Experience: Programming: Expert-level proficiency in Python (including packages like Pandas, NumPy, and familiarity with data engineering libraries). Cloud & Infrastructure: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP, preferred Azure), including services related to computing, storage, and serverless functions (e.g., Azure Data Lake Storage (ADLS), Azure Compute VMs, Azure Functions). Data Orchestration: Proven experience building and managing data workflows using an orchestration tool like Apache Airflow, Prefect, or Dagster. Databases: Strong knowledge of SQL and experience working with both relational (e.g., PostgreSQL) and NoSQL databases. Version Control: Proficient with Git and standard DevOps practices Scientific Data Experience: Prior experience handling and processing complex, large-volume scientific data (e.g., mass spectrometry, chromatography, LIMS/ELN integration). MLOps: Familiarity with MLOps platforms and tools such as Azure ML Studio, MLflow, Kubeflow, or Sagemaker. Chemistry Domain: Basic understanding of analytical chemistry concepts, such as chromatography fundamentals (e.g., retention time, peak integration) and relevant file formats. Authorization to work in the United States without restriction or sponsorship Professional working proficiency in English is a requirement, including the ability to read, write and speak in English. Required General Skills Problem-Solving: Strong analytical and problem-solving skills with a focus on delivering high-quality, reproducible data solutions. Communication: Excellent verbal and written communication skills, with the ability to bridge the gap between technical infrastructure, data science models, and chemical applications. Additional Information Professional working proficiency in English is a requirement, including the ability to read, write and speak in English. As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays, paid time off, and dental and vision options. We support your development! Do you feel you don't match 100% of the requirements? Don't hesitate to apply anyway! Eurofins companies are committed to supporting your career development. We embrace diversity! Eurofins network of companies believe in strength and innovation through diversity, being an Equal Opportunity Employer. We prohibit discrimination against employees or applications based on gender identity and/or expression, race, nationality, age, religion, sexual orientation, disability, and everything else that makes employees of Eurofins companies unique. Sustainability matters to us! We are well on our way to achieving our objective of carbon neutrality by 2025, through a combination of emission reduction and compensation initiatives. We encourage our laboratory leaders to make sustainable changes at their local level, and in addition to their initiatives we also count on our dedicated carbon reduction team to help us to achieve this goal! Find out more in our career page: ***************************** Eurofins USA Environment Testing is a Disabled and Veteran Equal Employment Opportunity employer.

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate. Eurofins is dedicated to delivering testing services that contribute to the health and safety of society and the planet, and to its corporate responsibility to protect the environment and ensure diversity, equity, and inclusion across the entire network of Eurofins companies. Job Description Our team is at the forefront of applying Machine Learning (ML) to interpret and process complex chemical data, specifically chromatograms and environmental testing results. We're seeking a skilled Data Engineer to design, build, and maintain the robust data pipelines and infrastructure necessary to support our ML model training, deployment, and analysis workflows. The ideal candidate has a strong foundation in data engineering, understands the unique challenges of scientific data, and is eager to work closely with both Machine Learning Engineers (MLE) and Chemists. Key Responsibilities Data Pipeline Development: Design, construct, and manage scalable and reliable ETL/ELT pipelines to ingest, clean, transform, and store raw chemistry data (e.g., CSV, JSON, and proprietary instrument formats). Data Modeling & Warehousing: Develop optimized data models and manage a data warehouse (or data lake) to support fast querying and ML feature engineering on complex datasets, including time-series and spectral data from chromatograms. ML Infrastructure: Collaborate with MLE to containerize and deploy ML models and build automated model retraining and monitoring pipelines. Data Quality & Governance: Implement robust data quality checks, validation, and monitoring to ensure the integrity and reproducibility of chemical experiment data used for ML. Tooling: Develop internal tools and APIs to facilitate data access for MLE and provide standardized interfaces for data submission from chemistry lab systems. Qualifications Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field (or equivalent practical experience) Required Experience: Programming: Expert-level proficiency in Python (including packages like Pandas, NumPy, and familiarity with data engineering libraries). Cloud & Infrastructure: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP, preferred Azure), including services related to computing, storage, and serverless functions (e.g., Azure Data Lake Storage (ADLS), Azure Compute VMs, Azure Functions). Data Orchestration: Proven experience building and managing data workflows using an orchestration tool like Apache Airflow, Prefect, or Dagster. Databases: Strong knowledge of SQL and experience working with both relational (e.g., PostgreSQL) and NoSQL databases. Version Control: Proficient with Git and standard DevOps practices Scientific Data Experience: Prior experience handling and processing complex, large-volume scientific data (e.g., mass spectrometry, chromatography, LIMS/ELN integration). MLOps: Familiarity with MLOps platforms and tools such as Azure ML Studio, MLflow, Kubeflow, or Sagemaker. Chemistry Domain: Basic understanding of analytical chemistry concepts, such as chromatography fundamentals (e.g., retention time, peak integration) and relevant file formats. Authorization to work in the United States without restriction or sponsorship Professional working proficiency in English is a requirement, including the ability to read, write and speak in English. Required General Skills Problem-Solving: Strong analytical and problem-solving skills with a focus on delivering high-quality, reproducible data solutions. Communication: Excellent verbal and written communication skills, with the ability to bridge the gap between technical infrastructure, data science models, and chemical applications. Additional Information As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays, paid time off, and dental and vision options. We support your development! Do you feel you don't match 100% of the requirements? Don't hesitate to apply anyway! Eurofins companies are committed to supporting your career development. We embrace diversity! Eurofins network of companies believe in strength and innovation through diversity, being an Equal Opportunity Employer. We prohibit discrimination against employees or applications based on gender identity and/or expression, race, nationality, age, religion, sexual orientation, disability, and everything else that makes employees of Eurofins companies unique. Sustainability matters to us! We are well on our way to achieving our objective of carbon neutrality by 2025, through a combination of emission reduction and compensation initiatives. We encourage our laboratory leaders to make sustainable changes at their local level, and in addition to their initiatives we also count on our dedicated carbon reduction team to help us to achieve this goal! Find out more in our career page: ***************************** Eurofins USA Environment Testing is a Disabled and Veteran Equal Employment Opportunity employer.

Our Senior Data Engineer plays a vital role within our organization. Once you complete our training, your responsibilities will include designing, building, and managing the data infrastructure powering our master data management and analytics goals. This position will also blends hands-on technical expertise in MDM and ETL development, API integration, and Power BI data modeling with administrative oversight of our business intelligence (BI) environment. At Quva, you will be an essential part of a mission-driven organization dedicated to expanding critical access to quality, affordable medication and data insights while promoting a culture of innovation, collaboration, and continuous improvement. Your attention to detail and adherence to precise procedures will guarantee that our medications meet the highest standards of safety, efficacy, and quality, providing patients with the best possible care and outcomes. Turn your passion for precision and your commitment to quality into a meaningful impact on healthcare across the US. This position is Hybrid in Minneapolis, MN What the Senior Data Engineer Does Each Day: Designs, builds, and maintains MDM entities and hierarchies within the Profisee platform Develops and manages data matching, survivorship, and stewardship workflows to ensure accuracy and consistency across systems Collaborates with business data owners to define master data domains, data quality rules, and governance policies Integrates Profisee MDM with enterprise data sources, APIs, and analytics environments Implements monitoring, auditing, and performance optimization for Profisee jobs and services Provides technical leadership and support for data stewards and business users of the MDM platform Manages complex data projects from inception through production, ensuring alignment, quality, and successful delivery Designs, develops, and maintains robust ETL pipelines to ingest, transform, and deliver data from diverse sources (databases, APIs, flat files, SaaS platforms) Implements best practices for data quality, lineage, validation, and monitoring Optimizes ETL workflows for scalability, reliability, and performance Partners with analysts and data scientists to ensure data models meet analytical and operational needs Builds and manages APIs and data services that enable secure and efficient data exchange across systems Integrates with third-party APIs for data ingestion, enrichment, or distribution Develops automation solutions for routine data ingestion and synchronization tasks Offers flexibility to assist with occasional time-sensitive analytical needs outside standard hours Builds and maintains high-quality Power BI assets Translates business requirements into effective data models, visualizations, and governed BI solutions Manages Power BI administration, including workspaces, licensing, user access, and data gateway configurations Maintains BI performance, metadata, documentation, and supports user onboarding and self-service analytics Our Most Successful Senior Data Engineer: Has excellent problem-solving and analytical skills Has strong communication and collaboration abilities across technical and non-technical teams Is a self-starter who thrives in a fast-paced, evolving environment Is committed to continuous learning and process improvement Minimum Requirements for this Role: Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience) 5+ years of professional experience in data engineering, BI, or analytics Advanced SQL and Python skills and strong experience with ETL tools Hands-on experience with Power BI data modeling, DAX, and administration Strong understanding of data warehousing concepts, dimensional modeling, and cloud data platforms Familiarity with master data management platforms and concepts such as entity matching, survivorship rules, and data stewardship Familiarity with DevOps practices for data pipelines (CI/CD, version control, testing) Proven experience with API design and integration (REST, GraphQL, JSON, OAuth) Exposure to other scripting languages for data processing and automation Knowledge of data governance, security, and compliance best practices 18+ years of age Able to successfully complete a drug and background check Must be currently authorized to work in the United States on a full-time basis; Quva is not able to sponsor applicants for work visas Benefits of Working at Quva: Set, full-time, consistent work schedule Comprehensive health and wellness benefits including medical, dental and vision 401k retirement program with company match 17 paid days off plus 8 paid holidays per year Occasional weekend and overtime opportunities with advance notice National, industry-leading high growth company with future career advancement opportunities The base compensation for this role is estimated to be within the range described below. The compensation offered may vary depending on relevant factors such as experience, skills, training, education, certifications, geographic location, and market conditions Range: $117,433 - $135,975 Annually This role is also eligible for an annual incentive bonus, subject to program terms and guidelines About Quva: Quva provides industry-leading health-system pharmacy services and solutions, including 503B sterile injectable outsourcing services and AI-based data software solutions that help power the business of pharmacy. Quva Pharma's multiple production facilities and industry-first dedicated remote distribution capabilities provide ready-to-administer sterile injectable medicines critical to patient care. Quva BrightStream partners with health systems to aggregate, normalize, and analyze large amounts of complex data across their sites of care, and through proprietary machine learning, transforms data into actionable insights supporting revenue optimization, script capture, inventory management, drug shortage control, and more. Quva's overall progressive and integrated platform helps health-systems transform pharmacy management to achieve greater value and deliver highest-quality patient care. Quva is an equal opportunity employer and is committed to creating and maintaining a work environment that is free from all forms of discrimination and harassment. Quva's Equal Opportunity Policy prohibits harassment or discrimination due to age, ancestry, color, disability, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, race, religious creed, sex (including pregnancy, childbirth, breastfeeding, and any related medical conditions), sexual orientation, and any other characteristic or classification protected by applicable laws. All employment with Quva is “at will.” California Consumer Privacy Act (CCPA) Notice for Applicants and Employees

Job Description 7,000 Diseases - 500 Treatments - 1 Rare Pharmacy PANTHERx is the nation's largest rare disease pharmacy, and we put the patient experience at the top of everything that we do. If you are looking for a career in the healthcare field that embraces authentic dedication to patient care, you don't need to look beyond PANTHERx. In every line of service, in every position and area of expertise, PANTHERx associates are driven to provide the highest quality outcomes for our patients. We are seeking team members who: Are inspired and compassionate problem solvers; Produce high quality work; Thrive in the excitement of the ever-challenging environment of modern medicine; and Are committed to achieving superior health outcomes for people living with rare and devastating diseases. At PANTHERx, we know our employees are the driving force in what we do. We cultivate talent and encourage growth within PANTHERx so that our associates can continue to explore their interests and expand their careers. Guided by our mission to provide uncompromising quality every day, we continue our strategic growth to further reach those affected by rare diseases. Join the PANTHERx team, and define your own RxARE future in healthcare! Location: Pittsburgh, PA (Hybrid) Classification: Exempt Status: Full-Time Reports to: Data Engineering Manager Purpose The Data Engineer creates, operates, and extends data pipelines and/or orchestration solutions built in SQL Server or Azure Databricks environments. This role develops solutions to support the business and operational needs of internal and external partners, commonly applying SQL and ETL tools to optimize outcomes. Responsibilities Design and Develop Data Pipelines: Creates and maintains robust data pipelines using Databricks, Spark, SQL, or SSIS. ETL/ELT Processes: Develops and manages efficient ETL/ELT processes for data extraction, transformation, and loading. Data Integration: Integrates data from various sources, ensuring data quality and consistency. Query Writing and Optimization: Writes, optimizes, and maintains complex SQL queries to enhance performance. Collaborate with Stakeholders: Works closely with analysts and stakeholders to understand data requirements and deliver solutions. Performance Tuning: Optimizes data pipelines, SQL queries, and Delta Tables to ensure high performance and scalability. Data Quality Assurance: Ensures the accuracy and reliability of data through rigorous testing and validation. Documentation: Maintains comprehensive documentation of data pipelines, processes, and query optimizations. Continuous Improvement: Identifies and implements opportunities for process improvements and automation. Required Qualifications Bachelor's degree in computer science, Mathematics, Statistics, or a related field. Minimum 4 years of experience in data engineering, including: Advanced SQL Azure Data Factory or other ETL tools Python or other programming languages Azure Databricks or Spark Azure DevOps or other CI/CD tools Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Strong attention to detail and ability to maintain data accuracy and integrity. Preferred Qualifications Experience in healthcare, particularly specialty pharmacy. Familiarity with healthcare data standards such as HIPAA and HITECH. Proficiency working with Azure Log Analytics. Knowledge of dimensional data modeling. Data Warehousing Experience Work Environment PANTHERx Rare Pharmacy offers flexibility only to eligible employees to work hybrid or remotely without compromising work performance, productivity, or team collaboration. This role routinely uses standard office equipment such as computers and phones. Physical Demands While performing the duties of this job, the employee is regularly required to talk, hear, and see. The employee frequently is required to sit, stand, and walk; use hands and fingers, handle or feel; reach with hands and arms and view a computer screen for extended periods of time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential function of the job. Benefits Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx Rare Pharmacy also affords an excellent benefit package, including but not limited to medical, dental, vision, health savings and flexible spending accounts, 401K with employer matching, employer-paid life insurance and short/long term disability coverage, and an Employee Assistance Program! Generous paid time off is also available to all full-time employees, as well as limited paid time off for part-time employees. Of course we offer paid holidays too! Equal Opportunity PANTHERx Rare Pharmacy is an equal opportunity employer, and does not discriminate in recruiting, hiring, promotions or any term or condition of employment based on race, age, religion, gender, ethnicity, sexual orientation, gender identity, disability, protected veteran's status, or any other characteristic protected by federal, state or local laws.

7,000 Diseases - 500 Treatments - 1 Rare Pharmacy PANTHERx is the nation's largest rare disease pharmacy, and we put the patient experience at the top of everything that we do. If you are looking for a career in the healthcare field that embraces authentic dedication to patient care, you don't need to look beyond PANTHERx. In every line of service, in every position and area of expertise, PANTHERx associates are driven to provide the highest quality outcomes for our patients. We are seeking team members who: Are inspired and compassionate problem solvers; Produce high quality work; Thrive in the excitement of the ever-challenging environment of modern medicine; and Are committed to achieving superior health outcomes for people living with rare and devastating diseases. At PANTHERx, we know our employees are the driving force in what we do. We cultivate talent and encourage growth within PANTHERx so that our associates can continue to explore their interests and expand their careers. Guided by our mission to provide uncompromising quality every day, we continue our strategic growth to further reach those affected by rare diseases. Join the PANTHERx team, and define your own RxARE future in healthcare! Location: Pittsburgh, PA (Hybrid) Classification: Exempt Status: Full-Time Reports to: Data Engineering Manager Purpose The Data Engineer creates, operates, and extends data pipelines and/or orchestration solutions built in SQL Server or Azure Databricks environments. This role develops solutions to support the business and operational needs of internal and external partners, commonly applying SQL and ETL tools to optimize outcomes. Responsibilities Design and Develop Data Pipelines: Creates and maintains robust data pipelines using Databricks, Spark, SQL, or SSIS. ETL/ELT Processes: Develops and manages efficient ETL/ELT processes for data extraction, transformation, and loading. Data Integration: Integrates data from various sources, ensuring data quality and consistency. Query Writing and Optimization: Writes, optimizes, and maintains complex SQL queries to enhance performance. Collaborate with Stakeholders: Works closely with analysts and stakeholders to understand data requirements and deliver solutions. Performance Tuning: Optimizes data pipelines, SQL queries, and Delta Tables to ensure high performance and scalability. Data Quality Assurance: Ensures the accuracy and reliability of data through rigorous testing and validation. Documentation: Maintains comprehensive documentation of data pipelines, processes, and query optimizations. Continuous Improvement: Identifies and implements opportunities for process improvements and automation. Required Qualifications Bachelor's degree in computer science, Mathematics, Statistics, or a related field. Minimum 4 years of experience in data engineering, including: Advanced SQL Azure Data Factory or other ETL tools Python or other programming languages Azure Databricks or Spark Azure DevOps or other CI/CD tools Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Strong attention to detail and ability to maintain data accuracy and integrity. Preferred Qualifications Experience in healthcare, particularly specialty pharmacy. Familiarity with healthcare data standards such as HIPAA and HITECH. Proficiency working with Azure Log Analytics. Knowledge of dimensional data modeling. Data Warehousing Experience Work Environment PANTHERx Rare Pharmacy offers flexibility only to eligible employees to work hybrid or remotely without compromising work performance, productivity, or team collaboration. This role routinely uses standard office equipment such as computers and phones. Physical Demands While performing the duties of this job, the employee is regularly required to talk, hear, and see. The employee frequently is required to sit, stand, and walk; use hands and fingers, handle or feel; reach with hands and arms and view a computer screen for extended periods of time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential function of the job. Benefits Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx Rare Pharmacy also affords an excellent benefit package, including but not limited to medical, dental, vision, health savings and flexible spending accounts, 401K with employer matching, employer-paid life insurance and short/long term disability coverage, and an Employee Assistance Program! Generous paid time off is also available to all full-time employees, as well as limited paid time off for part-time employees. Of course we offer paid holidays too! Equal Opportunity PANTHERx Rare Pharmacy is an equal opportunity employer, and does not discriminate in recruiting, hiring, promotions or any term or condition of employment based on race, age, religion, gender, ethnicity, sexual orientation, gender identity, disability, protected veteran's status, or any other characteristic protected by federal, state or local laws.

Job Title: Manufacturing Process Data Engineer III - Biopharmaceuticals About the Job We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. Sanofi Global MSAT (Manufacturing Sciences, Analytics, and Technology) acts as a crucial link between our R&D and Manufacturing facilities, playing a vital role in securing the present portfolio and delivering future launches of high-quality and innovative drugs and vaccines. By driving its own transformation, Global MSAT fulfils an important function by providing day-to-day Manufacturing Support, focusing on technical and process aspects, effective Life Cycle Management, process robustness enhancement, and yield improvement to optimize performance. Under the leadership of MSAT and in partnership with many other functions (Manufacturing 4.0, Digital, M&S, R&D), the Process Data Science & Digital transformation (DSD) team is a transversal team driving innovations, developments, expansion, and integration within the MSAT day-to-day operational space. This position is based in Framingham, MA, and will work directly with process engineers to manage the development and design of automated systems as well as to provide advanced analytics and system modeling support across multiple functions of Cell Culture, Purification and Analytics. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Hybrid - 3 days per week in Framingham, MA - required. Main Responsibilities Design, develop, and maintain robust ETL processes to integrate data from various sources Create and optimize data models to support business intelligence and analytics initiatives Collaborate with cross-functional teams to identify data requirements and deliver tailored solutions Implement data quality checks and ensure data integrity across all systems Develop and maintain documentation for data processes, models, and pipelines Continuously improve data infrastructure and processes to enhance performance and scalability Partner with internal stakeholders from multiple departments to identify opportunities for applying data engineering and process monitoring solutions for new manufacturing facilities. Exploit opportunities to leverage manufacturing data to develop data engineering and machine learning (ML) models and real-time process monitoring approaches. Translate data analytics outcomes to non-scientific audiences, champion data-driven decision making and empower end-users to perform simple analytics. Support various stakeholders to ensure timely delivery of data engineering, visualization, ML and AI capabilities. Promote a strong quality mindset with a focus on data integrity, validation, and data governance. About You Basic Qualifications Bachelor's degree with 5+ years or a Master's Degree with 3+ years or a PhD with 1 year of experience in data sciences, computer sciences, chemical engineer or a related discipline in pharmaceutical industry. Proficiency in SQL and experience with relational databases. Experience with ETL tools and processes Preferred Qualifications Experience working in biopharmaceutical manufacturing or other GxP-regulated environments (e.g., GMP, GLP, GCP) with strong understanding of regulatory compliance requirements and data integrity Strong knowledge in working with data historian systems, Manufacturing Execution System (MES) and IoT solutions. High level of familiarity using platforms such as Snowflake or Github and no-code/low-code applications such as Dataiku. Strong aptitude in developing data visualization platforms (Power BI, R Shiny, Streamlit, etc.) Experience in using SAP data and the use of transactional and genealogy data in data contextualization. Experience in writing reports and knowledge management documentation. Why Choose Us Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SG #LI-GZ #LI-Onsite #vhd Pursue progress , discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. North America Applicants Only The salary range for this position is: $78,000.00 - $130,000.00 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.

**Job Title:** **Manufacturing Process Data Engineer III - Biopharmaceuticals** **About the Job** We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. Sanofi Global MSAT (Manufacturing Sciences, Analytics, and Technology) acts as a crucial link between our R&D and Manufacturing facilities, playing a vital role in securing the present portfolio and delivering future launches of high-quality and innovative drugs and vaccines. By driving its own transformation, Global MSAT fulfils an important function by providing day-to-day Manufacturing Support, focusing on technical and process aspects, effective Life Cycle Management, process robustness enhancement, and yield improvement to optimize performance. Under the leadership of MSAT and in partnership with many other functions (Manufacturing 4.0, Digital, M&S, R&D), the Process Data Science & Digital transformation (DSD) team is a transversal team driving innovations, developments, expansion, and integration within the MSAT day-to-day operational space. This position is based in Framingham, MA, and will work directly with process engineers to manage the development and design of automated systems as well as to provide advanced analytics and system modeling support across multiple functions of Cell Culture, Purification and Analytics. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? **Hybrid - 3 days per week in Framingham, MA - required.** **Main Responsibilities** + Design, develop, and maintain robust ETL processes to integrate data from various sources + Create and optimize data models to support business intelligence and analytics initiatives + Collaborate with cross-functional teams to identify data requirements and deliver tailored solutions + Implement data quality checks and ensure data integrity across all systems + Develop and maintain documentation for data processes, models, and pipelines + Continuously improve data infrastructure and processes to enhance performance and scalability + Partner with internal stakeholders from multiple departments to identify opportunities for applying data engineering and process monitoring solutions for new manufacturing facilities. + Exploit opportunities to leverage manufacturing data to develop data engineering and machine learning (ML) models and real-time process monitoring approaches. + Translate data analytics outcomes to non-scientific audiences, champion data-driven decision making and empower end-users to perform simple analytics. + Support various stakeholders to ensure timely delivery of data engineering, visualization, ML and AI capabilities. Promote a strong quality mindset with a focus on data integrity, validation, and data governance. **About You** **Basic Qualifications** + Bachelor's degree with 5+ years or a Master's Degree with 3+ years or a PhD with 1 year of experience in data sciences, computer sciences, chemical engineer or a related discipline in pharmaceutical industry. + Proficiency in SQL and experience with relational databases. + Experience with ETL tools and processes **Preferred Qualifications** + Experience working in biopharmaceutical manufacturing or other GxP-regulated environments (e.g., GMP, GLP, GCP) with strong understanding of regulatory compliance requirements and data integrity + Strong knowledge in working with data historian systems, Manufacturing Execution System (MES) and IoT solutions. + High level of familiarity using platforms such as Snowflake or Github and no-code/low-code applications such as Dataiku. + Strong aptitude in developing data visualization platforms (Power BI, R Shiny, Streamlit, etc.) + Experience in using SAP data and the use of transactional and genealogy data in data contextualization. + Experience in writing reports and knowledge management documentation. **Why Choose Us** + Bring the miracles of science to life alongside a supportive, future-focused team. + Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. + Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. + Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. \#GD-SG \#LI-GZ \#LI-Onsite \#vhd **Pursue** **_progress_** **, discover** **_extraordinary_** Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video (************************************************** and check out our Diversity Equity and Inclusion actions at sanofi.com (************************************************************************ ! _US and Puerto Rico Residents Only_ Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. _North America Applicants Only_ The salary range for this position is: $78,000.00 - $130,000.00 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK (********************************************************************************************************* . Global Terms & Conditions and Data Privacy Statement (*************************************************************** Sanofi is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions. With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting ************** or via our movie We are Sanofi (***************************** As an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live. All in for Diversity, Equity and Inclusion at Sanofi - YouTube (************************************************

Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Job Description Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Company Archimedes About Us Archimedes - Transforming the Specialty Drug Benefit - Archimedes is the industry leader in specialty drug management solutions. Founded with the goal of transforming the PBM industry to provide the necessary ingredients for the sustainability of the prescription drug benefit - alignment, value and transparency - Archimedes achieves superior results for clients by eliminating tightly held PBM conflicts of interest including drug spread, rebate retention and pharmacy ownership and delivering the most rigorous clinical management at the lowest net cost. .______________________________________________________________________________________________________________________________________________________________________________________________________. Current associates must use SSO login option at ************************************ to be considered for internal opportunities. Pay Range USD $0.00 - USD $0.00 /Yr. STAR Bonus % (At Risk Maximum) 10.00 - Manager, Clinical Mgr, Pharm Supvr, CAE, Sr CAE I Work Schedule Description (e.g. M-F 8am to 5pm) Core Business Hours Overview The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support enterprise analytics, reporting, and operational data flows. This role plays a critical part in enabling data-driven decision-making across Centene and SPM by ensuring the availability, integrity, and performance of data systems. The Data Engineer collaborates with data scientists, analysts, software developers, and business stakeholders to deliver robust ETL solutions, optimize data storage and retrieval, and implement secure, compliant data architectures in cloud and hybrid environments. Operating within a healthcare-focused, compliance-heavy landscape, the Data Engineer ensures that data platforms align with regulatory standards such as HIPAA and SOC 2, while embedding automation and CI/CD practices into daily workflows. The role supports both AWS and Azure environments, leveraging cloud-native services and modern tooling to streamline data ingestion, transformation, and delivery. Responsibilities Job Responsibilities: * Design, develop, and maintain ETL pipelines for structured and unstructured data across cloud and on-prem environments. * Build and optimize data models, schemas, and storage solutions in SQL Server, PostgreSQL, and cloud-native databases. * Implement CI/CD workflows for data pipeline deployment and monitoring using tools such as GitHub Actions, Azure DevOps, or Jenkins. * Develop and maintain data integrations using AWS Glue, Azure Data Factory, Lambda, EventBridge, and other cloud-native services. * Ensure data quality, lineage, and governance through automated validation, logging, and monitoring frameworks. * Collaborate with cross-functional teams to gather requirements, design scalable solutions, and support analytics and reporting needs. * Monitor and troubleshoot data pipeline performance, latency, and failures; implement proactive alerting and remediation strategies. * Support data security and compliance by enforcing access controls, encryption standards, and audit logging aligned with HIPAA and SOC 2. * Maintain documentation for data flows, architecture diagrams, and operational procedures. * Participate in sprint planning, code reviews, and agile ceremonies to support iterative development and continuous improvement. * Evaluate and integrate new data tools, frameworks, and cloud services to enhance platform capabilities. * Partner with DevOps and Security teams to ensure infrastructure-as-code and secure deployment practices are followed. * Participate in, adhere to, and support compliance, people and culture, and learning programs. * Perform other duties as assigned. Qualifications Essential Background Requirements: * Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field required. Master's degree preferred. * Certification/Licenses: AWS Certified Data Analytics or Solutions Architect required. Microsoft Certified: Azure Data Engineer Associate required. Certified Data Management Professional (CDMP) required. * Experience: * 5+ years of experience in data engineering, ETL development, or cloud data architecture required. * Proven experience with SQL, ETL tools, and CI/CD pipelines required. * Hands-on experience with AWS and Azure data services and infrastructure required. * Familiarity with data governance, compliance frameworks (HIPAA, SOC 2), and secure data handling practices required. * Familiarity with CI/CD pipelines, automated testing, and version control systems required. * Skills & Technologies: * Languages & Tools: SQL, Python, Bash, Git, Terraform, PowerShell * ETL & Orchestration: AWS Glue, Azure Data Factory, Apache Airflow * CI/CD: GitHub Actions, Azure DevOps, Jenkins * Cloud Platforms: AWS (S3, Lambda, RDS, Redshift), Azure (Blob Storage, Synapse, Functions) * Monitoring & Logging: CloudWatch, Azure Monitor, ELK Stack * Data Governance: Data cataloging, lineage tracking, encryption, and access control. Location : Address 502 Earth City Expy STE 300 Location : City Earth City Location : State/Province MO Location : Postal Code 63045 Location : Country US

Company Archimedes About Us Archimedes - Transforming the Specialty Drug Benefit - Archimedes is the industry leader in specialty drug management solutions. Founded with the goal of transforming the PBM industry to provide the necessary ingredients for the sustainability of the prescription drug benefit - alignment, value and transparency - Archimedes achieves superior results for clients by eliminating tightly held PBM conflicts of interest including drug spread, rebate retention and pharmacy ownership and delivering the most rigorous clinical management at the lowest net cost. .______________________________________________________________________________________________________________________________________________________________________________________________________. Current associates must use SSO login option at ************************************ to be considered for internal opportunities. Pay Range USD $0.00 - USD $0.00 /Yr. STAR Bonus % (At Risk Maximum) 10.00 - Manager, Clinical Mgr, Pharm Supvr, CAE, Sr CAE I Work Schedule Description (e.g. M-F 8am to 5pm) Core Business Hours Overview The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support enterprise analytics, reporting, and operational data flows. This role plays a critical part in enabling data-driven decision-making across Centene and SPM by ensuring the availability, integrity, and performance of data systems. The Data Engineer collaborates with data scientists, analysts, software developers, and business stakeholders to deliver robust ETL solutions, optimize data storage and retrieval, and implement secure, compliant data architectures in cloud and hybrid environments. Operating within a healthcare-focused, compliance-heavy landscape, the Data Engineer ensures that data platforms align with regulatory standards such as HIPAA and SOC 2, while embedding automation and CI/CD practices into daily workflows. The role supports both AWS and Azure environments, leveraging cloud-native services and modern tooling to streamline data ingestion, transformation, and delivery. Responsibilities Job Responsibilities: * Design, develop, and maintain ETL pipelines for structured and unstructured data across cloud and on-prem environments. * Build and optimize data models, schemas, and storage solutions in SQL Server, PostgreSQL, and cloud-native databases. * Implement CI/CD workflows for data pipeline deployment and monitoring using tools such as GitHub Actions, Azure DevOps, or Jenkins. * Develop and maintain data integrations using AWS Glue, Azure Data Factory, Lambda, EventBridge, and other cloud-native services. * Ensure data quality, lineage, and governance through automated validation, logging, and monitoring frameworks. * Collaborate with cross-functional teams to gather requirements, design scalable solutions, and support analytics and reporting needs. * Monitor and troubleshoot data pipeline performance, latency, and failures; implement proactive alerting and remediation strategies. * Support data security and compliance by enforcing access controls, encryption standards, and audit logging aligned with HIPAA and SOC 2. * Maintain documentation for data flows, architecture diagrams, and operational procedures. * Participate in sprint planning, code reviews, and agile ceremonies to support iterative development and continuous improvement. * Evaluate and integrate new data tools, frameworks, and cloud services to enhance platform capabilities. * Partner with DevOps and Security teams to ensure infrastructure-as-code and secure deployment practices are followed. * Participate in, adhere to, and support compliance, people and culture, and learning programs. * Perform other duties as assigned. Qualifications Essential Background Requirements: * Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field required. Master's degree preferred. * Certification/Licenses: AWS Certified Data Analytics or Solutions Architect required. Microsoft Certified: Azure Data Engineer Associate required. Certified Data Management Professional (CDMP) required. * Experience: * 5+ years of experience in data engineering, ETL development, or cloud data architecture required. * Proven experience with SQL, ETL tools, and CI/CD pipelines required. * Hands-on experience with AWS and Azure data services and infrastructure required. * Familiarity with data governance, compliance frameworks (HIPAA, SOC 2), and secure data handling practices required. * Familiarity with CI/CD pipelines, automated testing, and version control systems required. * Skills & Technologies: * Languages & Tools: SQL, Python, Bash, Git, Terraform, PowerShell * ETL & Orchestration: AWS Glue, Azure Data Factory, Apache Airflow * CI/CD: GitHub Actions, Azure DevOps, Jenkins * Cloud Platforms: AWS (S3, Lambda, RDS, Redshift), Azure (Blob Storage, Synapse, Functions) * Monitoring & Logging: CloudWatch, Azure Monitor, ELK Stack * Data Governance: Data cataloging, lineage tracking, encryption, and access control. Location : Address 5250 Virginia Way Ste 300 Location : City Brentwood Location : State/Province TN Location : Postal Code 37027 Location : Country US

Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our Information Technology team. This position will work on a team to accomplish tasks and projects that are instrumental to the company's success. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you. Responsibilities * Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL); * Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI; * Collect, analyze and document user requirements; * Participate in software validation process through development, review, and/or execution of test plan/cases/scripts; * Create software applications by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance; * Communicate with team members regarding projects, development, tools, and procedures; and * Provide end-user support including setup, installation, and maintenance for applications Qualifications * Bachelor's Degree in Computer Science, Data Science, or a related field; * 3+ years of experience in Data Engineering; * Knowledge of developing dimensional data models and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; * Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; * Knowledge of Snowflake cloud data warehouse, Fivetran data integration and dbt transformations is preferred; * Knowledge of Python is preferred; * Knowledge of REST API; * Basic knowledge of SQL Server databases is required; * Knowledge of C#, Azure development is a bonus; and * Excellent analytical, written and oral communication skills. Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we've done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Cincinnati Perks * Cincinnati Campus Overview * Flexible work environment * Competitive PTO packages, starting at 20+ days * Competitive compensation and benefits package * Company-sponsored employee appreciation events * Employee health and wellness initiatives * Community involvement with local nonprofit organizations * Discounts on local sports games, fitness gyms and attractions * Modern, ecofriendly campus with an on-site fitness center * Structured career paths with opportunities for professional growth * Discounted tuition for UC online programs Awards * Named a Top Workplace in 2024 by The Cincinnati Enquirer * Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 * Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.

Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Senior Data Engineer to join our Information Technology team. This position will work on a team to accomplish tasks and projects that are instrumental to the company's success. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you. Responsibilities * Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL); * Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI; * Collect, analyze and document user requirements; * Participate in software validation process through development, review, and/or execution of test plan/cases/scripts; * Create software applications by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance; * Communicate with team members regarding projects, development, tools, and procedures; and * Provide end-user support including setup, installation, and maintenance for applications released. Qualifications * Bachelor's Degree in Computer Science, Data Science, or a related field; * 5+ years of experience in Data Engineering; * Knowledge of developing dimensional data models and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; * Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; * Knowledge of Snowflake cloud data warehouse, Fivetran data integration and dbt transformations is preferred; * Knowledge of Python is preferred; * Knowledge of REST API; * Basic knowledge of SQL Server databases is required; * Knowledge of C#, Azure development is a bonus; and * Excellent analytical, written and oral communication skills. Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we've done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Cincinnati Perks * Cincinnati Campus Overview * Flexible work environment * Competitive PTO packages, starting at 20+ days * Competitive compensation and benefits package * Company-sponsored employee appreciation events * Employee health and wellness initiatives * Community involvement with local nonprofit organizations * Discounts on local sports games, fitness gyms and attractions * Modern, ecofriendly campus with an on-site fitness center * Structured career paths with opportunities for professional growth * Discounted tuition for UC online programs Awards * Named a Top Workplace in 2024 by The Cincinnati Enquirer * Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 * Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.

Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Junior Data Engineer to join our Information Technology team. This position will work on a team to accomplish tasks and projects that are instrumental to the company's success. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you. Responsibilities * Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL); * Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI; * Collect, analyze and document user requirements; * Participate in software validation process through development, review, and/or execution of test plan/cases/scripts; * Create software applications by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance; * Communicate with team members regarding projects, development, tools, and procedures; and * Provide end-user support including setup, installation, and maintenance for applications Qualifications * Bachelor's Degree in Computer Science, Data Science, or a related field; * Internship experience in Data or Software Engineering; * Knowledge of developing dimensional data models and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; * Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; * Knowledge of Snowflake cloud data warehouse, Fivetran data integration and dbt transformations is preferred; * Knowledge of Python is preferred; * Knowledge of REST API; * Basic knowledge of SQL Server databases is required; * Knowledge of C#, Azure development is a bonus; and * Excellent analytical, written and oral communication skills. Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we've done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Cincinnati Perks * Cincinnati Campus Overview * Flexible work environment * Competitive PTO packages, starting at 20+ days * Competitive compensation and benefits package * Company-sponsored employee appreciation events * Employee health and wellness initiatives * Community involvement with local nonprofit organizations * Discounts on local sports games, fitness gyms and attractions * Modern, ecofriendly campus with an on-site fitness center * Structured career paths with opportunities for professional growth * Discounted tuition for UC online programs Awards * Named a Top Workplace in 2024 by The Cincinnati Enquirer * Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 * Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.

Company Archimedes About Us Archimedes - Transforming the Specialty Drug Benefit - Archimedes is the industry leader in specialty drug management solutions. Founded with the goal of transforming the PBM industry to provide the necessary ingredients for the sustainability of the prescription drug benefit - alignment, value and transparency - Archimedes achieves superior results for clients by eliminating tightly held PBM conflicts of interest including drug spread, rebate retention and pharmacy ownership and delivering the most rigorous clinical management at the lowest net cost. .______________________________________________________________________________________________________________________________________________________________________________________________________. Current associates must use SSO login option at ************************************ to be considered for internal opportunities. Pay Range USD $0.00 - USD $0.00 /Yr. STAR Bonus % (At Risk Maximum) 10.00 - Manager, Clinical Mgr, Pharm Supvr, CAE, Sr CAE I Work Schedule Description (e.g. M-F 8am to 5pm) Core Business Hours Overview The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support enterprise analytics, reporting, and operational data flows. This role plays a critical part in enabling data-driven decision-making across Centene and SPM by ensuring the availability, integrity, and performance of data systems. The Data Engineer collaborates with data scientists, analysts, software developers, and business stakeholders to deliver robust ETL solutions, optimize data storage and retrieval, and implement secure, compliant data architectures in cloud and hybrid environments. Operating within a healthcare-focused, compliance-heavy landscape, the Data Engineer ensures that data platforms align with regulatory standards such as HIPAA and SOC 2, while embedding automation and CI/CD practices into daily workflows. The role supports both AWS and Azure environments, leveraging cloud-native services and modern tooling to streamline data ingestion, transformation, and delivery. Responsibilities Job Responsibilities: Design, develop, and maintain ETL pipelines for structured and unstructured data across cloud and on-prem environments. Build and optimize data models, schemas, and storage solutions in SQL Server, PostgreSQL, and cloud-native databases. Implement CI/CD workflows for data pipeline deployment and monitoring using tools such as GitHub Actions, Azure DevOps, or Jenkins. Develop and maintain data integrations using AWS Glue, Azure Data Factory, Lambda, EventBridge, and other cloud-native services. Ensure data quality, lineage, and governance through automated validation, logging, and monitoring frameworks. Collaborate with cross-functional teams to gather requirements, design scalable solutions, and support analytics and reporting needs. Monitor and troubleshoot data pipeline performance, latency, and failures; implement proactive alerting and remediation strategies. Support data security and compliance by enforcing access controls, encryption standards, and audit logging aligned with HIPAA and SOC 2. Maintain documentation for data flows, architecture diagrams, and operational procedures. Participate in sprint planning, code reviews, and agile ceremonies to support iterative development and continuous improvement. Evaluate and integrate new data tools, frameworks, and cloud services to enhance platform capabilities. Partner with DevOps and Security teams to ensure infrastructure-as-code and secure deployment practices are followed. Participate in, adhere to, and support compliance, people and culture, and learning programs. Perform other duties as assigned. Qualifications Essential Background Requirements: Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field required. Master's degree preferred. Certification/Licenses: AWS Certified Data Analytics or Solutions Architect required. Microsoft Certified: Azure Data Engineer Associate required. Certified Data Management Professional (CDMP) required. Experience: 5+ years of experience in data engineering, ETL development, or cloud data architecture required. Proven experience with SQL, ETL tools, and CI/CD pipelines required. Hands-on experience with AWS and Azure data services and infrastructure required. Familiarity with data governance, compliance frameworks (HIPAA, SOC 2), and secure data handling practices required. Familiarity with CI/CD pipelines, automated testing, and version control systems required. Skills & Technologies: Languages & Tools: SQL, Python, Bash, Git, Terraform, PowerShell ETL & Orchestration: AWS Glue, Azure Data Factory, Apache Airflow CI/CD: GitHub Actions, Azure DevOps, Jenkins Cloud Platforms: AWS (S3, Lambda, RDS, Redshift), Azure (Blob Storage, Synapse, Functions) Monitoring & Logging: CloudWatch, Azure Monitor, ELK Stack Data Governance: Data cataloging, lineage tracking, encryption, and access control. Location : Address 502 Earth City Expy STE 300 Location : City Earth City Location : State/Province MO Location : Postal Code 63045 Location : Country US

At Allergan Aesthetics, an AbbVie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit *************************************** Follow Allergan Aesthetics on LinkedIn. Allergan Aesthetics | An AbbVie Company Job Description As the Lead Data Engineer,you will report to the Engineer Manager (Data Services) and continuously collaborate closely with key stakeholders across the business to solve critical technical challenges. Key Responsibilities: Take ownership for achieving objectives and key results for your team, oversee & own technical solutions, communicate schedule, status, and milestones Collaborate with cross functional partners (Product Managers, Data Scientists, Machine Learning Engineers, Software Engineers, and Business teams) to build data products Communicate effectively with both technical and non-technical stakeholders. Translate technical concepts into clear, accessible terms. Develop, optimize, and maintain complex ETL processes for data movement and transformation Review code and provide technical guidance to ensure adherence to high-quality standards and best practices in data engineering Develop APIs and microservices to expose and integrate data products with software systems Implement monitoring, logging, and alerting systems to proactively identify and resolve issues Ensure data quality, security, and compliance with relevant regulations and standards Stay current with industry trends, emerging technologies, and best practices in data engineering. Foster a culture of continuous learning and skill development within the team Qualifications Required Experience & Skills BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or a related quantitative field 7+ years of experience as a Data Engineer or Software Engineer developing and maintaining data pipelines, infrastructure and architecture Strong programming skills in Python with a solid understanding of core computer science principles Knowledge of relational and dimensional data modeling for building data products. Experience with data quality checks and data monitoring solutions. Experience orchestrating complex workflows and data pipelines using Airflow or similar tools Proficiency with Git, CI/CD pipelines, Docker, and Kubernetes Experience architecting solutions on AWS or equivalent public cloud platforms Experience developing data APIs, microservices, and event-driven systems to integrate data products Strong interpersonal and verbal communication skills Proven leadership experience with the ability to mentor and guide a team Preferred Experience & Skills: Familiarity with data mesh concepts. Domain knowledge in recommender systems, fraud detection, personalization, and marketing science. Understanding of vector databases, knowledge graphs, and other advanced data organization techniques. Hands-on experience with tools such as Snowflake, Postgres, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, SageMaker, Datadog, PagerDuty, data observability tools, and data governance tools. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. This job is eligible to participate in our long-term incentive programs Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit ************************************************************************* US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: *************************************************************