Description
Data Engineer II
Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.
Every day we perform better because of how we work together, as one team, each the best at what we do. We bring together talented experts across a broad spectrum of business critical corporate functions. Every role plays an essential part in enabling our customers to achieve their goals. Our teams are agile, collaborative, and committed to delivering—for each other, for our customers, and ultimately for the people who rely on the services we support.
Discover what your 25,000 future colleagues already know:
Why Syneos Health
- We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
- We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life.
- We are continuously building the company we all want to work for and our customers want to work with. Why Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.
Job Responsibilities
- Provide technical guidance and support to development teams and clients throughout the solution lifecycle. Troubleshoot and resolve complex issues related to Cloud based Data Lake and Data Mesh environments. Stay current with emerging technologies and trends and recommend best practices.
- Develop and implement scalable and secure cloud solutions for Big Data Platforms. Optimize data pipelines using distributed cloud computing to ensure that they support high volume / high velocity data streams and are scalable to meet growth expectations.
- Perform tuning of a Big Data /NoSQL environment with underlying impact analysis of distributed jobs to enhance data processing, analytics, and machine learning capabilities. Implement a mixed batch/near-real time architecture to analyze, index, and publish data for applications.
- Create and maintain comprehensive documentation for solution designs, configurations, and best practices. Provide training and support to clients and internal teams on solution architecture. Conduct presentations, demos, and workshops to showcase solution
Required Qualifications
- 5+ years of experience in Database Development, Master Data Management (MDM), and Data Integration initiatives.
- 5+ years of hands-on experience designing and implementing ETL/ELT solutions using Azure data integration technologies, including Azure Data Factory, Azure Functions, Logic Apps, and Azure Databricks.
- Strong expertise in Azure Databricks and PySpark for developing scalable, high-performance data pipelines.
- Proficient in SQL development, with extensive experience writing, optimizing, and troubleshooting complex queries in Azure-based or other relational database platforms.
- Solid understanding of Software Development Life Cycle (SDLC) best practices, source code management, CI/CD processes, and Azure DevOps/GitHub integration.
- Strong organizational, analytical, and problem-solving skills with exceptional attention to detail.
- Experience supporting multiple clients in regulated and compliance-driven environments.
- Ability to collaborate effectively across teams to implement and promote data management frameworks and governance standards.
- Proven ability to translate business requirements into scalable technical solutions.
- Excellent verbal and written communication skills, with the ability to engage both technical and business stakeholders.
- Strong interpersonal skills and a collaborative, team-oriented mindset.
- Demonstrated ability to troubleshoot complex data and system issues.
- Comfortable working within structured, process-driven, and governance-focused organizations.
Preferred Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- Experience supporting data management and analytics initiatives for Pharmaceutical or Life Sciences organizations.
- Hands-on experience with data-centric platforms and implementations, including CRM/SFA solutions and Business Intelligence tools.
- Experience working with Salesforce, Veeva CRM, or similar customer relationship management platforms.
- Prior experience with Veeva Network and Master Data Management solutions.
- Knowledge of Pharmaceutical and Life Sciences data ecosystems, including customer master, sales, and commercial data domains.
- Microsoft Azure Data Engineer certifications such as DP-203 and/or DP-700.
- Databricks Certified Data Engineer Associate certification.
- Experience working in Agile environments using tools such as Jira and Confluence.
- Exposure to Artificial Intelligence and Generative AI technologies, including experience designing, developing, and deploying AI-powered agents and automation solutions.
- Familiarity with modern data architectures, data governance practices, and cloud-native analytics platforms.
Get to know Syneos Health
Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.
No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.
http://www.syneoshealth.com
Additional Information
Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
Summary
The Engineer II develops and delivers clean maintainable solutions based on Big Data applications that fulfill the strategic vision for enterprise while driving business value and innovation. Performs the full deployment lifecycle, using Azure Cloud Technologies, including installation, configuration, initial production deployment for Data Lake. Evaluates and provides technical solutions to design, develop, and support business units wishing to implement a Big Data solution. Refines raw data into a presentation layer for analytics systems. Develops applications that can interact with the data in the most appropriate way, from batch to interactive SQL.
