Role Description Our customer is enhancing their Data Governance & Compliance team to build and mature the organization’s data governance framework. With a significant amount of enterprise data already in the cloud and little yet cataloged or classified, we are looking for a hands-on Data Governance Engineer to support the foundational work needed to operationalize Microsoft Purview across the enterprise. This is a hands-on-keyboard, task-focused role ideal for someone early in their data governance career who is eager to learn and execute. Key Responsibilities - Work directly within Microsoft Purview API (Data Map & Unified Catalog) to: - Register data sources - Configure and run scans - Classify data assets - Support cataloging efforts for 1,200+ data sources across Azure environments. - Execute day-to-day task-based work assigned by the Data Governance leadership team. - Collaborate with existing analysts within Data Compliance and broader Cyber teams. Qualifications - 2+ years of experience in data governance, data engineering, cybersecurity, or related technical discipline. - Experience in coding utilities/scripts that interact with APIs. - Ability to enable version control of code using Azure DevOps. - Must have Microsoft Purview and Unified Catalog. - Experience working with cloud-based data sources, preferably Azure. - Ability to perform detail-oriented, repetitive, task-driven work with high accuracy. - Strong technical curiosity and willingness to grow into a larger governance engineering role. Requirements - Data governance - Data management - Scripting - Azure DevOps - Data quality Benefits - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Jun 21, 2026.

Role Description Humana is seeking a Data Engineer 2 to join our Fortune #40, Best Places to Work company and help us make a difference as we assist our members in achieving their best health! - Ingests data from internal and external sources utilizing cloud native platforms and software development best practices and patterns. - Develops software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions that enable Humana to better serve our members. - Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. - Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction while receiving guidance where needed. - Follows established guidelines/procedures. - Must be passionate about contributing to an organization focused on continuously improving consumer experiences. Qualifications - Bachelor's degree or equivalent experience. - Less than 5 years of technical experience. - Experience with Databricks, Spark, and Scala. - Knowledge of SQL and relational database models. - Documenting processes related to database design, configuration, and performance. - Experience designing, developing, and testing software applications and/or infrastructure. - Experience with APIs to expose large datasets to applications and data analytics solutions. Requirements - Experience with Azure Cloud: Azure Data Factory (ADF), Pipelines, Azure Synapse Analytics (ASA), and Azure Data Lake Storage (ADLS). - Experience with development, release, and support of data processing pipelines. - Experience with test automation frameworks and tools. - Experience with Agile, Continuous Integration, Continuous Deployment (CI/CD). - Experience with Terraform. Benefits - Competitive benefits that support whole-person well-being. - Medical, dental, and vision benefits. - 401(k) retirement savings plan. - Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave). - Short-term and long-term disability. - Life insurance and many other opportunities. Company Description Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it.

Role Description CADRE is seeking a highly skilled Data Engineer specializing in AWS ETL to support an IT modernization program. This role is responsible for designing and operating scalable, secure data pipelines in AWS that enable real-time insights, system interoperability, and improved decision-making across LGY systems. - Data Pipeline Engineering (ETL/ELT): - Design and implement end-to-end ETL pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR. - Develop both batch and real-time data ingestion pipelines to support reporting, analytics, and operational systems. - Optimize pipelines for performance, reliability, and cost efficiency. - AWS Data Platform Development: - Build and manage data lakes (Amazon S3) and data warehouses (Amazon Redshift). - Utilize query and analytics tools such as Amazon Athena. - Define data structures, transformation logic, and partitioning strategies. - System Integration & Data Flow: - Enable integration across VA systems, Salesforce platforms, and external financial systems. - Develop API-driven and event-based ingestion pipelines. - Ensure interoperability across enterprise data ecosystems. - DevSecOps & Automation: - Integrate pipelines into CI/CD workflows using tools such as AWS CodePipeline, Git, and Jenkins. - Implement Infrastructure as Code (IaC) using CloudFormation or Terraform. - Automate deployment, testing, and monitoring processes. - Security & Compliance: - Ensure all data pipelines align with federal security standards (NIST 800-53, FedRAMP, VA policies). - Implement encryption, access controls, and audit logging. - Support Authority to Operate (ATO) processes and continuous compliance monitoring. - Monitoring & Optimization: - Develop monitoring and alerting systems using Amazon CloudWatch and logging frameworks. - Troubleshoot pipeline failures and ensure high availability. - Optimize system performance and resource utilization. Qualifications - 5+ years of experience in data engineering, ETL development, or cloud data platforms. - Strong hands-on experience with AWS data services (Glue, S3, Redshift, Lambda, Athena). - Proficiency in Python, SQL, and data transformation techniques. - Experience with data pipeline orchestration and workflow automation. - Familiarity with DevOps/CI/CD practices in cloud environments. - Experience working in federal or regulated environments is highly desirable. - Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience). Preferred Qualifications (Nice to Have) - AWS certifications such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect. - Experience supporting VA or federal civilian agencies. - Familiarity with big data tools (Apache Spark, Hadoop). - Experience with streaming platforms (Amazon Kinesis, Kafka). - Knowledge of data governance, metadata, and lineage tools. Benefits - CADRE Convoy Program: A dedicated support system designed to cater to your individual needs and enhance your overall well-being, no matter where you are. - CADRE Connect Program: A series of intentional touchpoints, events, and initiatives that promote open communication and encourage continuous growth and development among team members. - CADRE Compensation Program: - 401k Safe Harbor Plans with matching & immediate vesting - Medical, Dental, & Vision Plans - Paid Time Off: Holidays, Vacation, Wellness, & Personal Leave Plans - Continuing Education & Training Budget - Office & Technology Budget - Cell Phone Budget - Wellness & Healthy Living Budget - Awards & Bonuses - Profit Sharing Plans Company Description We’re more than a government contracting company. We’re a cadre, a specialized team finely honed in providing innovative solutions that meet the complex and evolving needs of government agencies. We strategically mobilize, manage, and maintain specialized cadres using our RO(M³) model. CADRE GOVERNMENT SOLUTIONS is an Equal Opportunity and Affirmative Action Employer. We welcome and encourage diversity in our workforce. It is the policy of CADRE GOVERNMENT SOLUTIONS to provide equal employment opportunity to all employees and qualified applicants without regard to race, color, religion, national origin, sex, age, disability, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected characteristic under federal, state, or local law.

Role Description When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. Job Title: Data Quality Lead / Data Management Lead - Oncology Location: USA - Remote - with the ability to work Pacific Standard Time Zone hours. Qualifications - BS or MS in Life Sciences, Data/Computer Science, or equivalent industry experience. - 7+ years’ experience in clinical data management/biometrics in pharmaceutical/biotech clinical. - Medical affairs experience is a plus, but not necessary. - Experience in Phase IIIB–IV trials is a plus. - Oncology experience (Solid Tumor) is preferred. - Late-phase oncology experience, ideally in women's health solid tumors, is a plus. - Strong project management experience and vendor/CRO oversight. - Demonstrated collaboration and superb communication skills, both written and oral proficiency in English required. - Proficient in CDISC data standards, ICH-GCP, and working in regulated environments. - Validated project management skills, capable of managing multiple requests and priorities. - Experience with data analytics and visualization tools. - Ability to mentor others while learning new techniques. - Experience in leading DM study teams, overseeing trial data activities. - Ownership and accountability relative to key accountabilities in the job description. - Ability to travel as required. - Written and oral fluency in English. Requirements - Understanding data structure and programming languages such as SAS, R, Python, and SQL. - Understanding and/or proficiency with tools for analyzing large data sources. - Understanding and/or experience with SDTM implementation, CDISC standards. - BSN, RN, RPh, Pharm D, PA, MPH, or other applicable health professional credentials. Responsibilities - Develop risk management strategies and proactively manage timelines. - Engage with stakeholders to understand their needs and influence their understanding of decisions. - Partner with relevant functions for external data vendor selection and management. - Advise teams and stakeholders on best practices for data collection. - Use surveillance tools to review data at an aggregate level. - Organize and integrate data from various sources, maintaining its value through the application of FAIR principles. - Manage and coordinate the integration and utilization of all ancillary systems. - Highlight issues/risks to delivery by understanding interdependencies. - Review and analyze metrics to derive meaningful summaries of study health and trends. - Attend cross-functional meetings, prepare meeting agendas and minutes. - Ensure appropriate project-level resourcing of staff and staff assignments. - Regularly review and update Data Management resources. - Determine and resolve the root cause of Data Management-related project variances. - Provide Data Management functional input, considering the impact on Data Management and Parexel as a whole. - Maintain training compliance as per assigned job roles. - Deliver project-specific training to internal Data Management teams. Benefits - Base Pay Range: $99,000.00 to $180,000.00 yearly. - Participation in Parexel’s annual performance-based bonus plan. - Market leading benefit programs including paid time off, 401k match, life insurance, health insurance. EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.