Senior Data Engineer, I

North Chicago, IL, United States

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Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on XFacebookInstagramYouTubeLinkedIn and Tik Tok.

Job Description

As a member of the AI Enterprise Infrastructure team, you will work collaboratively with technology groups to conceive, design, engineer, and implement key data, software and infrastructure that supports the work of employees across AbbVie via AbbVie’s Enterprise AI platform. You’ll investigate, identify, and implement state-of-the-art technology platforms and develop productive collaborations and communications with other groups across multiple disciplines. You will have the chance to deliver secure and scalable solutions that empower employees to leverage cutting-edge AI in all facets of our work, from drug discovery and R&D to manufacturing, software development, and more. Join us in AbbVie’s mission to make a remarkable impact on the lives of patients.

Responsibilities

  • Design and implement data engineering solutions, define schemas, and establish standards for products on AbbVie’s Enterprise AI platform.  Routinely demonstrate initiative and creativity in developing technology solutions.
  • Contribute to the development of distributed batch and real-time data infrastructure as part of a collaborative agile team
  • Serve as a technical expert or lead projects/programs and technical staff to develop, test and implement significant new products or improvements.
  • Analyze and resolve technical problems
  • Contribute to advancement of own function by studying state-of-the-art tools, techniques, and computing equipment
  • Demonstrate high proficiency across a wide range of technologies related to software development, data ingestion/processing, data storage, distributed systems, and cloud environments.
  • Collaborate with product owners, app developers, data scientists, infrastructure engineers, and other stakeholders
  • Highly autonomous and productive in performing activities, requiring only minimal direction from or interaction with supervisor.
  • Provides technical leadership and mentors and consults with less experienced staff in planning, methods, procedures, standards and best practices.
  • Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, data security, and the software development lifecycle.

Qualifications

Required:

  • Bachelor’s Degree with 6 years’ experience; Master’s Degree with 5 years’ experience; PhD with 0 years’ experience.
  • Possess strong understanding of software engineering principles
  • Experience working with large data sets, and building data ingestion and ETL pipelines
  • Proven implementation of creative technology solutions that advanced business.
  • Excellent written and oral English communication skills.
  • Demonstrate humility, empathy, and a collaborative spirit that fuels team success.

Preferred:

  • Experience with AWS, Azure cloud platforms
  • Experience with streaming and batch data architecture and technologies such as Kafka and Spark
  • Experience with data orchestration tools (e.g. Airflow, MLFlow, or Flyte)
  • Experience with data monitoring tools (e.g. Datadog, Dynatrace)
  • Experience building or contributing to Data APIs
  • Experience with AI/ML or generative AI models

 

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​​

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  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​​

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​​

  • This job is eligible to participate in our short-term incentive programs. ​​

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Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion.  It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html 

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Airflow APIs Architecture AWS Azure Distributed Systems Drug discovery Engineering ETL Generative AI Kafka Machine Learning MLFlow PhD Pipelines R R&D Security Spark Streaming

Perks/benefits: Health care Insurance Salary bonus Team events

Region: North America
Country: United States

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