Data Engineer - Life Sciences Sector - Manager - Consulting - Location OPEN

$124,300 - $227,900/Yr

Ernst & Young - Topeka, KS

Full-time - Manager

Topeka, KS

Professional, Scientific, and Technical Services

About the position

As a Consulting Manager in Data Engineering within the Life Sciences sector at EY, you will lead the implementation of innovative data solutions for clients, focusing on complex challenges in drug discovery, clinical trials, and patient data management. This role emphasizes collaboration with interdisciplinary teams and significant client interaction, requiring a passion for continuous learning and staying ahead of industry trends.

Responsibilities

• Collaborate with clients to deploy data engineering technologies and methodologies.
• Design and build robust, scalable data solutions for Life Science clients.
• Integrate and enrich data from various sources across a broad technology landscape.
• Provide guidance and perform technical development tasks for data engineering solutions.
• Engage with scientists and engineers to solve computational problems for clients.

Requirements

• Bachelor's degree and 6-10 years of experience in Data Engineering, Big Data, and related fields.
• 2-4 years of experience managing technical teams.
• At least 2 years of experience in the Life Science domain.
• Strong skills in Python and other data manipulation languages.
• Experience with data engineering models and frameworks.
• Extensive experience with DevOps tools like GIT and Azure DevOps.
• Solid understanding of data engineering workflows.
• Experience with data engineering methods and platforms such as Apache Airflow.
• Experience with CI/CD and test-driven development.
• Experience designing, building, and maintaining data frameworks and pipelines.
• Proficiency in deploying data workflows on cloud computing platforms.
• Understanding of data structures and software engineering best practices.
• Proficiency using data manipulation tools like SQL, Pandas, and Spark.
• Experience with containerization and scaling data solutions.
• Integrating data solutions with downstream systems for reporting and AI-driven applications.
• Strong mathematical and quantitative skills.
• Willingness to travel to meet client obligations.

Nice-to-haves

• Master's degree in Computer Science, Mathematics, or Physical Sciences.
• Experience working with diverse teams to deliver complex data solutions.
• Skills in additional programming languages: R, JavaScript, Java, C++, C.

Benefits

• Comprehensive compensation and benefits package.
• Medical and dental coverage.
• Pension and 401(k) plans.
• Flexible vacation policy allowing personal discretion on vacation time.
• Time off for designated EY Paid Holidays, Winter/Summer breaks, and Personal/Family Care.