10 jobs found

Job Description Job Description Must be eligible for a federal security Clearance (U.S. citizen) Must be able to work on-site in Oak Ridge, TN A Department of Energy Research and Development facility is looking for a Security Data & Automation Engineer. This person will be responsible for acquiring, ingesting, transforming, and operationalizing data from diverse sources into storage and processing systems. This role is critical to ensuring data is accurate, secure, and ready for analysis, while also supporting custom application development, automation, advanced integrations, and AI capabilities. Specific duties and responsibilities include: Data Acquisition and Pipeline Development Identify and connect to data sources such as databases, APIs, file systems, and streaming platforms. Develop, automate, and maintain scalable data pipelines and ingestion workflows. Data Transformation, Cleaning, and Integration Process raw data into usable formats through parsing, validation, enrichment, and conversion. Integrate data from multiple sources into cohesive, reliable datasets. ETL, Automation, and API Integration Design, implement, monitor, and optimize ETL processes, automation flows, and advanced API integrations. Troubleshoot ingestion, workflow, and integration issues to ensure consistent performance and scalability. Application Development and AI Integration Develop and maintain custom applications and automation tools using Python and Git-based workflows. Support advanced AI integration, including hardware/software deployment and inference optimization. Data Storage, Security, and Compliance Ensure data is stored securely and remains accessible to downstream systems and users. Document ingestion processes, transformations, and sources while maintaining compliance with governance and regulatory requirements. Skills and Tools Commonly Used Proficiency in Python and experience with Git-based development workflows. Experience with ETL, automation, and integration tools such as Apache NiFi, Talend, Informatica, or similar platforms. Familiarity with APIs, orchestration, and workflow automation. Knowledge of Kafka, Spark, Hadoop, and cloud platforms including AWS, Azure, or Google Cloud. Knowledge of AI/ML integration, inference workflows, and supporting hardware/software environments. Strong problem-solving and analytical skills.

Job Description Job Description Informatica Production Support Engineer Phoenix, AZ Onsite role We are looking for an Informatica Production Support Engineer with strong experience in ETL support, Informatica workflows, and production issue resolution. The candidate will be responsible for monitoring and supporting data pipelines, troubleshooting ETL failures, and ensuring stable data operations in a production environment. Required Skills Strong experience with Informatica PowerCenter Hands-on experience in ETL development and production support Experience troubleshooting ETL job failures, workflow issues, and data discrepancies Good knowledge of Java Experience with MicroStrategy Ability to analyze logs, debug issues, and resolve production incidents Experience working with data pipelines, batch jobs, and scheduling tools Strong problem-solving and communication skills Responsibilities Provide production support for Informatica ETL workflows Monitor and troubleshoot data integration jobs and batch processes Investigate and resolve production incidents and data issues Work with development teams to identify root causes and implement fixes Ensure data quality, reliability, and system stability Support reporting tools such as MicroStrategy Document issues, resolutions, and support procedures Preferred Experience supporting enterprise data platforms Exposure to financial services environments Experience with SQL and database troubleshooting

Job Description Job Description Description: Position Summary Designs, develops, and maintains business intelligence dashboards, reports, and data visualizations that support Avum's internal operations and government mission programs. Transforms complex data in various formats into datasets to create clear, actionable insights for program teams, leadership, and government customers. Leverages advanced analytics, emerging AI, and automation capabilities to enhance reporting workflows, improve data quality, and accelerate analytics delivery. Key Responsibilities Design, build, and maintain interactive BI dashboards and reports using Tableau, QuickSight, Qlik, Appian or similar tools Develop and manage paginated and ad hoc reports for program teams, leadership, and government customers Build and optimize data models, calculated measures and data transformations to support accurate, scalable reporting Develop and maintain ETL processes for data extraction, cleansing, transformation, and loading from multiple sources Respond to ad hoc data calls and reporting requests from program teams and government customers with quick turnaround Perform data quality assurance, validation, and reconciliation to ensure reporting accuracy and data integrity Leverage AI-powered analytics features (e.g., AI-driven insights, natural language queries) to enhance dashboard capabilities and user experience Apply advanced analytic techniques to solve business problems and address needs Identify opportunities to automate recurring reports and data workflows using AI tools, scripting, or low-code platforms Collaborate with stakeholders to gather requirements, define KPIs, and translate business needs into effective data visualizations Present visualizations and findings to stakeholders and program teams Support data migration efforts, system integrations, and BI tool evaluation initiatives Create and maintain documentation for reports, data sources, data dictionaries, and standard operating procedures Monitor dashboard performance, troubleshoot data issues, and implement continuous improvements to reporting solutions Requirements: Required Qualifications Bachelor's degree in data analytics, information systems, computer science, statistics, or related 3+ years of experience in BI development, data analytics, or reporting Strong proficiency in Tableau, Amazon QuickSight, or similar BI platforms, including data modeling and calculated field development Experience with cloud-based BI platforms and data services (Databricks, Palantir Foundry, AWS QuickSight, Azure Synapse, Google Looker) Solid SQL skills with experience writing complex queries against relational databases (e.g., Redshift, Oracle, PostgreSQL, SQL Server) Experience designing star/snowflake schemas and building scalable data models Experience handling semi-unstructured and unstructured data Demonstrated ability to translate business requirements into clear, impactful data visualizations Experience with machine learning, predictive analytics, and other advanced analytics capabilities U.S. citizenship required Ability to obtain and maintain a Secret security clearance Preferred Qualifications Master's degree in data science, analytics, information systems, or related field Active Secret or Top Secret security clearance Experience with AI-enhanced analytics tools (e.g., Qlik Insight Advisor, Tableau AI, natural language query features) Python or R scripting skills for data manipulation, automation, or advanced analytics Familiarity with cutting edge standards for enterprise data architecture (e.g., Palantir Foundry Ontology, Appian data fabric) Tableau Desktop Specialist, Microsoft PL-300, or similar BI certification Experience with ETL tools or frameworks (SSIS, Informatica, AWS Glue, or custom pipelines) Familiarity with Appian, SharePoint, or other enterprise platforms Familiarity with DoD contract writing system data structures (Procurement Data Standard (PDS Experience supporting federal government or DoD customers Knowledge of federal compliance frameworks (CMMC, NIST 800-171) Google Associate Cloud Engineer or similar cloud certification Work Environment & Requirements Hybrid/remote work environment with potential on-site requirements based on contract needs U.S. citizenship required Security clearance: Ability to obtain and maintain a Secret clearance (active clearance preferred) Background check required Equal Employment Opportunity Avum, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class under federal, state, or local law. Avum is committed to compliance with Section 503 of the Rehabilitation Act and VEVRAA, and maintains an active Affirmative Action Plan.

Job Description Job Description Title: Software Engineer Sr - ETL Location: Pittsburgh, PA Roles and Responsibilities: This role requires senior-level enterprise engineering expertise, with strong hands-on experience in designing and developing scalable, high-performance ELT data pipelines using modern data integration platforms such as Informatica (PowerCenter / IDMC). The candidate must possess deep knowledge of data ingestion, transformation, and large-scale data processing, with a strong emphasis on ELT patterns in complex enterprise environments. The role demands proven experience in handling high-volume batch and near real-time data pipelines, including data staging, transformation pushdown, and optimization within database or cloud platforms. The individual should have a solid understanding of data warehousing concepts, data modeling, and reconciliation frameworks, ensuring data accuracy, consistency, and integrity across systems. In addition, the position requires strong experience in production support within mission-critical data platforms, including monitoring, troubleshooting, root cause analysis, and performance tuning to ensure reliability and stability of data pipelines. The candidate should be comfortable working in distributed and event-driven ecosystems, with a focus on scalability, fault tolerance, and resiliency. The role also requires: • Hands-on experience in designing and implementing ELT pipelines, leveraging database or cloud processing capabilities • Strong expertise in SQL and data transformation techniques, including performance tuning and query optimization • Experience working with data platforms (RDBMS, cloud data warehouses, big data ecosystems) • Familiarity with data orchestration tools (Airflow or similar) and scheduling frameworks • Exposure to data quality validation, reconciliation, and audit frameworks • Knowledge of DevOps practices, CI/CD pipelines, and version control for ETL/ELT deployments • Ability to own end-to-end delivery, from design and development to deployment and production support • Strong collaboration skills to work with business, data, and downstream systems teams to deliver scalable, enterprise-grade data solutions Must Have Technical Skills: 1. designing and implementing ELT pipelines (Informatica) 2. SQL and data transformation techniques 3. data platforms (RDBMS, cloud data warehouses, big data ecosystems) 4. data orchestration tools (Airflow or similar) and scheduling frameworks 5. data quality validation, reconciliation, and audit frameworks 6. DevOps practices, CI/CD pipelines, and version control for ETL/ELT deployments 7. Ability to own end-to-end delivery, from design and development to deployment and production support Ref: Pittsburgh

Job Description Job Description System Integration Engineer - Level II Location: Albany, NY (Hybrid, 3 days onsite, 2 days WFH) Duration: 34 months Employment Type: Contract ( NO BENEFITS ) Job Summary We are seeking a System Integration Engineer to design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces. You will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities Design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces Work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution Design, develop, and enhance client-facing and internal applications, contribute to application architecture and technology solutions, and deliver technology tools that support strategic initiatives Apply enterprise architecture standards and design principles to develop scalable applications that align with business and technical requirements Use multiple sources of information, including broader stakeholder views, to develop solutions and recommendations Provide application support throughout the application lifecycle by resolving defects and implementing enhancements, and participate in post-implementation incident resolution as required Translate business requirements and use cases into enterprise applications, and perform unit testing Work with technical leads and architects to transform high- and low-level system designs into technical components, and develop applications based on technical requirements and design and architecture principles and standards Build reusable code and libraries for platform and shared services Produce work products and applications that ensure system design and delivery are in line with business needs and the project plan Collaborate with other team members and stakeholders Other duties as assigned Work Arrangement Hybrid: 3 days onsite, 2 days work from home Telecommuting of more than 50% of work hours, up to and including 100% remote, may be available with direct manager approval and is subject to change based on program needs. Consultants approved for 100% remote work must attend monthly in-person meetings at the Albany office and be available for major milestone meetings as needed. Mandatory Qualifications More than 7 years of experience working on complex projects, with 2 or more years in a leadership role as a DevOps Engineer Minimum of 7 years of experience in DevOps and middleware administration, designing, implementing, and managing CI/CD pipelines (e.g., GitLab), including version control, merge conflict resolution, and access management. Must demonstrate understanding of both development and operational aspects of the software cycle, business process management, and API management products Minimum of 2 years working in an Integrated Eligibility System program across various workstreams, including Data Management and Shared Services, in a health and human services setting Desirable Qualifications 3+ years of experience supporting and maintaining enterprise-level applications such as Blueprint, Tasktop, Jira, Informatica, PowerCenter, or Informatica MDM, including upgrade/maintenance efforts and high-severity vulnerability remediation 3+ years of experience managing InRule environments (installation, configuration, and validation across DEV/QA) and deploying Java applications, including ETL job troubleshooting and scheduling (OpCons) 3+ years of experience administering middleware, databases, and messaging systems in high-availability configurations, including diagnosing and resolving MongoDB replica set failures and ActiveMQ active/passive failures

Job Description Job Description System Integration Engineer - Level II Location: Albany, NY (Hybrid, 3 days onsite, 2 days WFH) Duration: 34 months Employment Type: Contract ( NO BENEFITS ) Job Summary We are seeking a System Integration Engineer to design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces. You will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities Design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces Work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution Design, develop, and enhance client-facing and internal applications, contribute to application architecture and technology solutions, and deliver technology tools that support strategic initiatives Apply enterprise architecture standards and design principles to develop scalable applications that align with business and technical requirements Use multiple sources of information, including broader stakeholder views, to develop solutions and recommendations Provide application support throughout the application lifecycle by resolving defects and implementing enhancements, and participate in post-implementation incident resolution as required Translate business requirements and use cases into enterprise applications, and perform unit testing Work with technical leads and architects to transform high- and low-level system designs into technical components, and develop applications based on technical requirements and design and architecture principles and standards Build reusable code and libraries for platform and shared services Produce work products and applications that ensure system design and delivery are in line with business needs and the project plan Collaborate with other team members and stakeholders Other duties as assigned Work Arrangement Hybrid: 3 days onsite, 2 days work from home Telecommuting of more than 50% of work hours, up to and including 100% remote, may be available with direct manager approval and is subject to change based on program needs. Consultants approved for 100% remote work must attend monthly in-person meetings at the Albany office and be available for major milestone meetings as needed. Mandatory Qualifications More than 7 years of experience working on complex projects, with 2 or more years in a leadership role as a DevOps Engineer Minimum of 7 years of experience in DevOps and middleware administration, designing, implementing, and managing CI/CD pipelines (e.g., GitLab), including version control, merge conflict resolution, and access management. Must demonstrate understanding of both development and operational aspects of the software cycle, business process management, and API management products Minimum of 2 years working in an Integrated Eligibility System program across various workstreams, including Data Management and Shared Services, in a health and human services setting Desirable Qualifications 3+ years of experience supporting and maintaining enterprise-level applications such as Blueprint, Tasktop, Jira, Informatica, PowerCenter, or Informatica MDM, including upgrade/maintenance efforts and high-severity vulnerability remediation 3+ years of experience managing InRule environments (installation, configuration, and validation across DEV/QA) and deploying Java applications, including ETL job troubleshooting and scheduling (OpCons) 3+ years of experience administering middleware, databases, and messaging systems in high-availability configurations, including diagnosing and resolving MongoDB replica set failures and ActiveMQ active/passive failures

Job Description Job Description System Integration Engineer - Level II Location: Albany, NY (Hybrid, 3 days onsite, 2 days WFH) Duration: 34 months Employment Type: Contract ( NO BENEFITS ) Job Summary We are seeking a System Integration Engineer to design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces. You will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities Design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces Work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution Design, develop, and enhance client-facing and internal applications, contribute to application architecture and technology solutions, and deliver technology tools that support strategic initiatives Apply enterprise architecture standards and design principles to develop scalable applications that align with business and technical requirements Use multiple sources of information, including broader stakeholder views, to develop solutions and recommendations Provide application support throughout the application lifecycle by resolving defects and implementing enhancements, and participate in post-implementation incident resolution as required Translate business requirements and use cases into enterprise applications, and perform unit testing Work with technical leads and architects to transform high- and low-level system designs into technical components, and develop applications based on technical requirements and design and architecture principles and standards Build reusable code and libraries for platform and shared services Produce work products and applications that ensure system design and delivery are in line with business needs and the project plan Collaborate with other team members and stakeholders Other duties as assigned Work Arrangement Hybrid: 3 days onsite, 2 days work from home Telecommuting of more than 50% of work hours, up to and including 100% remote, may be available with direct manager approval and is subject to change based on program needs. Consultants approved for 100% remote work must attend monthly in-person meetings at the Albany office and be available for major milestone meetings as needed. Mandatory Qualifications More than 7 years of experience working on complex projects, with 2 or more years in a leadership role as a DevOps Engineer Minimum of 7 years of experience in DevOps and middleware administration, designing, implementing, and managing CI/CD pipelines (e.g., GitLab), including version control, merge conflict resolution, and access management. Must demonstrate understanding of both development and operational aspects of the software cycle, business process management, and API management products Minimum of 2 years working in an Integrated Eligibility System program across various workstreams, including Data Management and Shared Services, in a health and human services setting Desirable Qualifications 3+ years of experience supporting and maintaining enterprise-level applications such as Blueprint, Tasktop, Jira, Informatica, PowerCenter, or Informatica MDM, including upgrade/maintenance efforts and high-severity vulnerability remediation 3+ years of experience managing InRule environments (installation, configuration, and validation across DEV/QA) and deploying Java applications, including ETL job troubleshooting and scheduling (OpCons) 3+ years of experience administering middleware, databases, and messaging systems in high-availability configurations, including diagnosing and resolving MongoDB replica set failures and ActiveMQ active/passive failures

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