Job Url: https://recruiting.ultipro.com/ADV1023AVR/JobBoard/6051d363-03fe-4650-945e-f836306a8388/OpportunityDetail?opportunityId=6eac3c85-4212-46d1-b612-ff19b2cbf092&source=LinkedIn Job Description: Skip to main content Accessibility Note: If you are a job seeker with a disability and require a reasonable accommodation to apply for one of our jobs, you will find the contact information to request the appropriate accommodation by visiting the following page: Accessibility Accommodation for Applicants Toggle Navigation Sr. Data Engineer II Job Category: Data Engineering Requisition Number: PRINC004004 Posting Details Posted: January 23, 2026 Full-Time LocationsShowing 1 location Remote - U.S.A United States of America, 000000, USA Job Details Description Company Information At Advarra, we are passionate about making a difference in the world of clinical research and advancing human health. With a rich history rooted in ethical review services combined with innovative technology solutions and deep industry expertise, we are at the forefront of industry change. A market leader and pioneer, Advarra breaks the silos that impede clinical research, aligning patients, sites, sponsors, and CROs in a connected ecosystem to accelerate trials. Company Culture Our employees are the heart of Advarra. They are the key to our success and the driving force behind our mission and vision. Our values (Patient-Centric, Ethical, Quality Focused, Collaborative) guide our actions and decisions. Knowing the impact of our work on trial participants and patients, we act with urgency and purpose to advance clinical research so that people can live happier, healthier lives. At Advarra, we seek to foster an inclusive and collaborative environment where everyone is treated with respect and diverse perspectives are embraced. Treating one another, our clients, and clinical trial participants with empathy and care are key tenets of our culture at Advarra; we are committed to creating a workplace where each employee is not only valued but empowered to thrive and make a meaningful impact. Job Overview Summary The Sr. Data Engineer II will be a senior individual contributor responsible for designing, building, and optimizing advanced data solutions that power enterprise-wide analytics, AI/ML, and data-driven decision-making. Reporting directly to the Senior Director of Data Platforms, this role will serve as a technical expert and thought partner in scaling modern data architectures, enabling AI orchestration, and delivering robust, secure, and compliant data products. This position is highly hands-on, requiring expertise in data engineering, Databricks, Python, AI/ML platforms, and orchestration frameworks. The Sr. Data Engineer II will work across functional teams to design and implement high-performance pipelines, ensure platform reliability, and set technical standards for the organization’s data engineering practices. Job Duties & Responsibilities Design & Build Data Systems: Architect and implement scalable data pipelines, lakehouse/lake/warehouse environments, APIs, and orchestration workflows to support analytics, AI/ML, and business intelligence. Enable AI & ML at Scale: Partner with Data Science and AI teams to productionize ML models, automate workflows, and enable AI orchestration frameworks (e.g., MLflow, Airflow, Databricks workflows). Technical Leadership: Act as a hands-on subject matter expert in Databricks, Python, Spark, and related technologies—driving adoption of best practices and mentoring other engineers. Optimize Performance: Ensure data pipelines and platforms are highly available, observable, and performant at scale through monitoring, automation, and continuous improvement. Ensure Compliance & Security: Build solutions that adhere to data governance, privacy, and regulatory frameworks (HIPAA, SOC 2, GCP, GDPR) within clinical research, life sciences, and healthcare contexts. Collaborate Across Functions: Work closely with platform engineering, analytics, product management, and compliance teams to deliver aligned solutions that meet enterprise needs. Advance Modern Architectures: Contribute to evolving data platform strategies, including event-driven architectures, data mesh concepts, and lakehouse adoption. Location This role is open to candidates working in the United States (remote or hybrid). Basic Qualifications Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience. 8+ years of data engineering experience in designing, implementing, and optimizing large-scale data systems. Strong proficiency in Python, with production-level experience in building reusable, scalable data pipelines. Hands-on expertise with Databricks (Delta Lake, Spark, MLflow), and modern orchestration frameworks (Airflow, Prefect, Dagster, etc.). Proven track record of deploying and supporting AI/ML pipelines in production environments. Experience with cloud platforms (AWS, Azure, or GCP) for building secure and scalable data solutions. Familiarity with regulatory compliance and data governance standards in healthcare or life sciences. Preferred Qualifications Experience with event-driven systems (Kafka, Kinesis) and real-time data architectures. Strong background in data modeling, lakehouse/lake/warehouse design, and query optimization. Exposure to AI orchestration platforms and generative AI use cases. Contributions to open-source projects or published work in data engineering/ML. Agile development experience, including CI/CD, automated testing, and DevOps practices. Physical and Mental Requirements Sit or stand for extended periods of time at stationary workstation Regularly carry, raise, and lower objects of up to 10 Lbs. Learn and comprehend basic instructions Focus and attention to tasks and responsibilities Verbal communication; listening and understanding, responding, and speaking   Advarra is an equal opportunity employer that is committed to diversity, equity and inclusion and providing a workplace that is free from discrimination and harassment of any kind based on race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions, sexual orientation, and gender identity), national origin, age, disability or genetic information or any other status or characteristic protected by federal, state, or local law.  Advarra provides equal employment opportunity to all individuals regardless of these protected characteristics. Further, Advarra takes affirmative action to ensure that applicants and employees are treated without regard to any of these protected characteristics in all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and separation from employment. The base salary range for this role is $140,000 - $175,245. Note that salary may vary based on location, skills, and experience and may vary from the amounts listed above. This position may also be eligible for a variable bonus in addition to base salary as well as health coverage, paid holidays, and other benefits. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Learn more about Advarra here