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EY Data Engineer - Life Sciences Sector - Manager - Consulting - Location OPEN in Philadelphia, Pennsylvania

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.

The exceptional EY experience. It's yours to build.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

Consulting Manager, Data Engineering, Life Science Sector: This position can be anywhere in the country.

The Opportunity

Our Artificial Intelligence and Data team is dedicated to implementing cutting-edge technology and techniques to deliver innovative solutions to our clients in the Life Science sector. As a Manager, you will work closely with clients and interdisciplinary teams within EY to provide comprehensive solutions to complex challenges, some of which are unprecedented. Your role will be dynamic, involving continuous research and development, and will require a passion for continuous learning. You will be expected to stay ahead of industry trends and influence new methodologies to position solutions effectively for our clients. This role offers significant client interaction, a fast-paced work environment, and the opportunity to shape your career path based on your unique skills and ambitions.

Your Key Responsibilities

In this role, you will collaborate with a diverse range of clients to deploy the latest data engineering technologies and methodologies. You will design and build robust, scalable solutions for Life Science clients that integrate and enrich data from various sources across a broad technology landscape. Your goal will be to help our clients make sense of complex data science, analytics, and software engineering challenges. You will provide guidance and perform technical development tasks to ensure data engineering solutions are properly engineered and maintained to support ongoing business needs.

Joining our dynamic team, you will engage with scientists and engineers who are passionate about solving computational problems for our clients. Our team members often have advanced academic degrees or equivalent industry experience and excel in creative thinking, efficient application development, and collaboration in both solution ideation and the pursuit of new opportunities.

Skills and Attributes for Success

This role requires delivering technology swiftly, innovating at scale, and placing humans at the center of solutions. You will provide technical guidance and share knowledge with team members from various backgrounds. You will consistently deliver quality client services, focusing on more complex, judgmental, and specialized issues surrounding emerging technology. You should demonstrate technical capabilities, professional knowledge, and a commitment to continuous learning about EY's service lines, actively seeking ways to apply your knowledge and services.

To Qualify for the Role You Must Have

  • Bachelor’s degree and 6-10 years of full-time working experience in Data Engineering, Big Data, and related fields.

  • 2-4 years of experience directly managing technical teams.

  • At least 2 years working in the Life Science domain, developing data solutions for challenges in drug discovery, clinical trials, or patient data management.

  • Strong skills in Python and other data manipulation languages.

  • Experience with data engineering models and frameworks, including data ingestion, transformation, and insight generation.

  • Extensive experience with DevOps tools like GIT, Azure DevOps, and Agile tools such as Jira for developing and deploying data solutions.

  • A solid understanding of data engineering workflows, including data collection, transformation, and analysis.

  • Experience with data engineering methods and platforms such as Apache Airflow or similar.

  • Experience with CI/CD and test-driven development.

  • Experience designing, building, and maintaining data frameworks and pipelines.

  • Proficiency in deploying data workflows on major cloud computing platforms.

  • Understanding of data structures, data modeling, and software engineering best practices.

  • Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.

  • Experience with containerization and scaling data solutions.

  • Integrating data solutions with downstream systems for reporting, dashboards, and AI-driven applications.

  • Strong mathematical and quantitative skills.

  • Willingness to travel to meet client obligations.

Ideally, You’ll Also Have

  • Master's degree in Computer Science, Mathematics, Physical Sciences, or another quantitative field.

  • Experience working with diverse teams to deliver complex data solutions.

  • Skills in additional programming languages: R, JavaScript, Java, C++, C.

What We Look For

  • An agile, growth-oriented mindset and the ability to work in an agile manner to keep pace with a rapidly changing world.

  • Curiosity and a purpose-driven approach to finding opportunities rather than seeing challenges.

  • An inclusive attitude, valuing diverse perspectives, and fostering an environment of safety and trust.

What we offer

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124,300 to $227,900. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

  • Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

  • Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

  • Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.

  • Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY accepts applications for this position on an on-going basis. * If you can demonstrate that you meet the criteria above, please contact us as soon as possible.*

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

For those living in California, please click here  for additional information.

EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.  

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com

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