6 jobs found

Job Description W2 only option, we cannot consider 1099 or C2C candidates Role Overview We are looking for an ETL Developer who is passionate about data integration, healthcare data transformation, and building reliable data pipelines that support client implementations. In this role, you will design, develop, and maintain ETL processes that move and transform data between client systems and our healthcare platform. This is a hands-on individual contributor role. You will work closely with implementation consultants, product teams, and client stakeholders to ensure data is delivered accurately, securely, and on schedule. If you enjoy solving complex data challenges, have strong SQL and ETL skills, and want to help healthcare organizations improve operational outcomes through technology, this role is a great fit. What You'll Do Data Integration & ETL Development Design, develop, and maintain ETL workflows to support new client implementations and ongoing production operations. Build scalable processes for extracting, transforming, validating, and loading healthcare data. Create reusable components and mapping frameworks that improve implementation efficiency. Troubleshoot and resolve data integration issues across multiple client environments. Data Quality & Validation Analyze source data and identify data quality concerns proactively. Implement validation rules and reconciliation processes to ensure data accuracy and completeness. Perform root cause analysis on data discrepancies and provide resolution recommendations. Collaborate with QA and implementation teams to support testing activities. Client Implementations Work directly with implementation teams to understand client-specific business and data requirements. Translate business mapping documents into technical ETL specifications. Support go-live activities and post-implementation stabilization efforts. Provide technical guidance during data conversion and migration activities. Collaboration & Continuous Improvement Partner with application developers, database administrators, and project teams throughout implementation projects. Participate in design reviews and technical discussions. Contribute to documentation, standards, and best practices. Identify opportunities to improve automation, monitoring, and operational efficiency. What You Will Bring ETL & Data Integration Foundations (Must Have) Strong hands-on experience developing ETL processes using enterprise ETL tools or custom frameworks. Advanced SQL skills with experience querying, transforming, and validating large datasets. Experience working with relational databases such as SQL Server, PostgreSQL, Oracle, or MySQL. Understanding of data mapping, transformation logic, and reconciliation processes. Data Management Skills (Must Have) Experience analyzing and troubleshooting complex data issues. Knowledge of data warehousing concepts and dimensional modeling. Ability to optimize ETL jobs for performance and scalability. Healthcare Data Experience (Preferred) Experience with healthcare data standards such as HL7, FHIR, EDI, or claims data. Familiarity with member, provider, clinical, or care management datasets. Understanding of HIPAA and healthcare data security requirements. Communication & Collaboration Strong verbal and written communication skills. Ability to explain technical concepts to non-technical stakeholders. Strong problem-solving and analytical thinking skills. Proven ability to manage multiple priorities in a client-facing environment. Engineering Ecosystem (Good to Have) Experience with Azure Data Factory, SSIS, Informatica, Talend, or similar tools. Exposure to cloud-based data platforms. Familiarity with CI/CD practices and source control tools such as Git. Qualifications B.E. / B.Tech / M.Tech in Computer Science, Information Technology, Engineering, or related discipline. 5+ years of ETL development and data integration experience. Experience supporting enterprise software implementations preferred. Primary Technologies ETL Tools : SSIS, Azure Data Factory, Informatica, Talend, or equivalent Databases : SQL Server, PostgreSQL, Oracle, MySQL Data Formats : CSV, XML, JSON APIs & Integration: REST APIs, Web Services Source Control : Git, Azure DevOps Healthcare Standards (Preferred): HL7, FHIR, EDI

Job Description • 9+ years of experience in Business Intelligence, Data Analysis, Solution Analysis, or related disciplines. • Strong expertise in SQL and relational database concepts. • Solid understanding of data warehousing principles and reporting architectures. • Experience gathering and documenting business and technical requirements. • Experience creating source-to-target mappings and data lineage documentation. • Experience with dimensional data modeling. • Hands-on experience with ETL processes and tools. • Experience with Informatica - plus

Job Description Senior PolyPaths Consultant & L3 Support Lead About the role Arrayo builds and embeds senior delivery teams inside the risk and technology functions of major financial institutions. We're hiring a Senior PolyPaths Consultant & L3 Support Lead to support a fixed income risk platform, with a particular focus on mortgage products. You'll combine deep PolyPaths expertise with ownership of production support and hands-on data engineering. The work spans daily risk runs, complex incident resolution, platform configuration, and the pipelines and automation that connect PolyPaths to the broader risk environment. This role calls for someone who can get productive quickly, take responsibility for critical production processes, and work confidently with Market Risk, Quant, Front Office and technology stakeholders. What you'll do Serve as the PolyPaths subject matter expert across configuration, scenario setup, batch processing, and integration with upstream and downstream systems. Support mortgage and securitized product analytics across agency MBS, CMOs, TBAs, non-agency RMBS, CMBS and ABS, including prepayment and default assumptions, OAS, duration, convexity and key rate sensitivities. Own L3 production support: investigate complex incidents, identify root causes, implement permanent fixes, and protect service levels for daily and intraday risk runs. Lead post-incident reviews, maintain runbooks, mentor L1/L2 support analysts, and participate in the on-call rotation. Write and optimize SQL to validate and reconcile trades, positions, market data and risk results. Develop and maintain ETL workflows using SSIS or equivalent tooling, and build Databricks pipelines and notebooks using PySpark and SQL. Use Python to automate batch processes, monitoring, data validation, reconciliation and exception reporting. Support PolyPaths upgrades and model assumption changes through regression testing, UAT and release planning, coordinating with the vendor on defects and enhancements. Document systems, processes and fixes to support audit and control requirements, and transfer knowledge to permanent teams. What we're looking for At least five years of hands-on PolyPaths experience across configuration, analytics, integration or production support. Strong fixed income risk knowledge, particularly mortgage products, prepayment modeling and OAS analytics. Proven experience providing or leading L3 support in financial services, including incident, problem and change management. Strong Python skills, with experience developing production-quality scripts for automation, data processing and validation. Advanced SQL skills, including complex queries, performance tuning and stored procedures. Hands-on experience with SSIS or another enterprise ETL platform, such as Informatica, Talend, Azure Data Factory or DataStage. Practical Databricks experience, including Spark, Delta Lake, notebooks and job orchestration. Working knowledge of market risk measures, including sensitivities, VaR, scenario and stress analysis, and P&L explain. Strong troubleshooting skills, clear communication, and the ability to work effectively under pressure around critical risk deadlines. Experience with other analytics platforms such as Bloomberg, Yield Book, Intex or Aladdin; workflow schedulers; CI/CD tooling; cloud platforms; or regulatory frameworks such as FRTB and CCAR/DFAST would be a plus. Why Arrayo You'll join a firm of senior practitioners working across risk, data and technology at leading financial institutions. This engagement offers direct ownership of a critical risk platform, close collaboration with business and technical teams, and the opportunity to improve both production reliability and the underlying data processes.

Job Description Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner. Please visit Fractal Intelligence for Imagination for more information about Fractal. Note: This Position Is Not Eligible for Immigration Sponsorship at This Time. Domain Delivery Lead Role Overview We are seeking an experienced Azure Architect with strong Healthcare domain expertise and deep knowledge of Data Engineering, Azure cloud technologies, and Data Quality (DQ) frameworks. The ideal candidate will lead the design and implementation of scalable, secure, and compliant healthcare data platforms on Microsoft Azure. This role requires strong expertise in Azure Data Engineering, Databricks, SQL, stakeholder management, and healthcare data ecosystems including regulatory and compliance considerations. The candidate will work closely with business stakeholders, healthcare SMEs, analytics teams, architects, and engineering teams to drive enterprise-scale cloud data transformation initiatives. Key Responsibilities Azure Data Architecture Design enterprise-scale healthcare data platforms on Microsoft Azure. Architect scalable, secure, and high-performing cloud-native data solutions. Define end-to-end architecture for ingestion, transformation, storage, governance, and analytics. Lead modernization and migration of legacy healthcare data systems to Azure. Ensure architecture aligns with healthcare compliance and governance standards. Data Engineering & Databricks Design and implement large-scale ETL/ELT pipelines. Build batch and real-time data processing solutions using Azure Databricks. Develop scalable data ingestion frameworks for structured and unstructured healthcare data. Optimize performance and scalability of Azure data platforms. Implement Lakehouse/Data Lake architectures using Azure services. Data Quality & Governance Define and implement enterprise Data Quality (DQ) frameworks. Establish DQ controls for completeness, consistency, accuracy, timeliness, and reconciliation. Build automated validation and monitoring mechanisms. Enable data lineage, metadata management, and governance practices. Collaborate with governance teams to improve data reliability and trust. Healthcare Domain Responsibilities Work with healthcare stakeholders to understand clinical, operational, and analytical data requirements. Support healthcare data integration initiatives involving EMR/EHR systems, claims, patient, provider, and operational data. Ensure compliance with healthcare regulations and data privacy standards. Support healthcare analytics, reporting, and interoperability initiatives. Stakeholder Management Collaborate with business leaders, product owners, architects, and engineering teams. Translate business requirements into scalable technical solutions. Lead client discussions, architecture reviews, and technical workshops. Provide technical leadership and mentoring to engineering teams. Manage communication with cross-functional stakeholders and leadership. Required Skills & Experience Core Technical Skills Azure Technologies Strong hands-on expertise in: Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics Azure Data Lake Storage (ADLS) Azure SQL Database Azure Functions Azure DevOps Azure Monitor Microsoft Purview / Azure Purview Data Engineering Strong expertise in SQL and Python/PySpark. Experience building enterprise-grade ETL/ELT pipelines. Strong understanding of data modeling and distributed data processing. Experience with Delta Lake and Lakehouse architectures. Knowledge of batch and streaming data processing. Data Quality Experience implementing enterprise Data Quality frameworks. Strong understanding of data validation, reconciliation, profiling, and monitoring. Experience with DQ tools/frameworks such as Great Expectations, Deequ, Informatica DQ, or custom frameworks. Understanding of data governance and observability. Healthcare Domain Strong experience in Healthcare domain projects. Knowledge of healthcare data models and workflows. Understanding of EMR/EHR, claims, patient, provider, and clinical data. Familiarity with healthcare compliance and data privacy standards. Experience supporting healthcare analytics and reporting platforms. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Healthcare Informatics, or related field. 10+ years of IT experience with strong focus on Data Engineering and Cloud Architecture. 5+ years of hands-on Azure Data Platform experience. Strong experience in Healthcare domain implementations. Experience leading enterprise-scale cloud transformation initiatives. Preferred Certifications Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Professional Healthcare or Data Governance certifications preferred Preferred Experience Experience working with healthcare providers, payers, or life sciences organizations. Exposure to AI/ML healthcare data platforms. Experience with cloud governance and security frameworks. Familiarity with Agile/Scrum methodologies. Client-facing consulting experience. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150,000 - $170,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job Description Job Description Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. You will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success. We'll Trust you to: Work with cross-functional project teams in the design and development of high-quality deliverables for clients. Collaborate with leadership to define project scope, approach, and development strategies. Contribute to Beghou's internal data warehouse build. Demonstrate knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices. Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams. Work on projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight. Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting. Coordinate with global and diverse teams to ensure seamless project execution. Contribute to internal firm initiatives to drive organizational growth. You'll Need to Have: Bachelor's or advanced degree with at least 2+ years of relevant professional experience, preferably in the pharmaceutical or life sciences industry. Experience with one or more additional UI-based ETL tools (e.g., Azure Data Factory, Alteryx, Informatica, SnapLogic, Boomi, Prophecy), preferred. Experience with relational database technologies, such as Databricks, Snowflake, PostgreSQL, Oracle, and MySQL. Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel. Knowledge of coding languages (e.g., Python, PySpark, SAS, VBA, etc.) and experience with data visualization software (e.g., Tableau, Power BI) is highly preferred. Experience with Claude Code or ChatGPT Codex is preferred. Excellent analytical and quantitative skills, with a proven ability to solve complex problems. Exceptional communication skills, both written and verbal. Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously. Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment. Familiarity with industry best practices in data analytics within the pharmaceutical sector. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $90,000 to $110,000. We are currently unable to consider candidates who require, or will require in the future, sponsorship for work authorization . Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization. At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact! Compensation and Benefits: Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following: Health & Wellness We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best. Work-Life Balance Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you'll enjoy the balance of in-person collaboration and remote flexibility. Financial Wellness We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You'll also receive a monthly phone stipend and access to an employee discount program. Growth & Giving Back Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match. Culture & Values Collaboration, innovation, and inclusion define us. Here, you'll join a community that values your ideas and celebrates your impact. Equal Opportunity Employer We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company's vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles. Must be legally authorized to work in the United States. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain. We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how Abbvie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI. Principal Data Engineer is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem. This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use. Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale Responsibilities Data Ingestion & Integration Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. Data Harmonization & Semantic Modeling Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. Data Quality, Observability & Governance Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. AI/ML Enablement & Data Product Development Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. Platform & Operational Enablement Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. Provide operational support for production data pipelines, maintaining uptime and data freshness commitments. Stakeholder Engagement & Scientific Leadership Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. Qualifications Required: Bachelor's Degree Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 6 years' experience; Master's Degree plus 5 years' experience; PhD plus 0 years' experience. Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. Preferred: 3+ years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Familiarity with technology transfer workflows, process characterization study design, or commercial process validation (PPQ/PV) in a biologics or pharmaceutical context. Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. Knowledge of biologics manufacturing processes (e.g., upstream cell culture, downstream purification, fill-finish) or CMC development workflows. Familiarity with data mesh, data fabric, or federated data architecture patterns. Experience with graph databases, knowledge graphs, or ontology frameworks applied to scientific or manufacturing data. Contributions to open-source data tooling or demonstrated engagement with the modern data engineering community. Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). . click apply for full job details