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Data Engineer III

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

Senior Data Engineer will lead the work on building scalable data and analytics solutions. This role is key to end-to-end solution delivery, stakeholder management, collaboration with other engineering teams, participation in architecture design discussions, and will guide and mentor others. The ideal candidate will have outstanding communication skills, proven data design, and implementation capabilities, business acumen, and a highly developed drive to deliver results.

Responsibilities

  • Provide leadership in building data models/architecture, query optimization and automation, ELT, and data governance frameworks with scalability, efficiency, and reliability
  • Adhere to agile project management frameworks and set the direction of data science initiatives
  • Develop strong partnerships with Data Analytics, MDM, Data Science, Product, Engineering, and other data teams and understand their data needs
  • Apply a wide range of Data Engineering/Technological skills for developing, maintaining, and modernizing our data platform suites/eco-system in real-time processing
  • Implement large-scale data ecosystems including data management, governance, the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
  • Improve our Data Engineering stack through containerization, data modeling, data quality, data pipeline automation, and data integration
  • Responsible for driving coding, design, and showcasing best practices while leading by example.
  • Keep informed of the latest technological trends and innovations, especially in the areas of customer data platforms, master data management, marketing resource management, digital asset management, web content management, mobile, and social media
  • Full lifecycle implementation experience using various SDLC methodologies
  • Strong interpersonal skills and the ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress

Qualifications

  • Bachelor's Degree with 8 years’ experience; Master's Degree with 7 years’ experience; PhD with 3 years’ experience of related work experience
  • 10+ or more years of hands-on experience in designing, building and maintaining data pipelines.
  • 7+ or more years of experience with scalable cloud-based data lakehouse and data warehouses such as Azure Delta Lakehouse and Snowflake is required.
  • Experience in Salesforce Cloud eco-system is preferred.
  • Experience with Databricks Spark Structured Streaming is required.
  • Data Analytics with SQL is a MUST.
  • Experience with Databricks with proven experience in delivering end-to-end data pipelines with Databricks Workflows is a MUST.
  • Familiarity with Data Visualization platforms like PowerBI for reporting.
  • Industry experience in master data, metadata, data architecture, data governance, data quality and data modeling
  • Coding proficiency in at least one or more modern programming languages: PySpark, Java, Node.JS, React JS, Restful API, Python
  • Familiarity with Kubernetes, Docker, Kafka and with different modeling techniques such as data vault.
  • Experience in data quality tools, including data profiling, cleansing and identity resolution
  • Experience leading workstreams or small teams
  • Strong oral and written communication skills, including presentation skills

Additional Information

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

  • 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. ​

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

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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What You Should Know About Data Engineer III, AbbVie

Join AbbVie as a Data Engineer III in Chicago, IL, where your expertise will play a key role in developing innovative data and analytics solutions that make a real difference in healthcare. In this senior position, you will lead initiatives to build scalable data systems and manage the entire lifecycle of data architecture, ensuring the highest standards of data governance and quality. You'll collaborate with various teams, including Data Analytics, Product Development, and Engineering, to understand their data needs and deliver effective solutions. A successful Data Engineer III will leverage cloud technologies like Azure and Snowflake, apply strong coding skills in languages such as PySpark and Python, and enhance our data platform through best practices in data modeling and automation. Your leadership skills will guide and mentor junior engineers as you navigate complex data projects, and your innovative mindset will keep you at the forefront of technological trends. If you are a seasoned engineer who excels in providing solutions and driving results with passion, AbbVie is looking for you to join our mission in delivering impactful healthcare solutions.

Frequently Asked Questions (FAQs) for Data Engineer III Role at AbbVie
What are the responsibilities of a Data Engineer III at AbbVie?

As a Data Engineer III at AbbVie, you'll be responsible for developing scalable data architecture and models, optimizing data queries, and ensuring data governance. You will lead initiatives for building data ecosystems using cloud technologies and collaborate with various teams to deliver actionable insights. Your efforts will significantly impact our analytics and cloud integration projects.

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What qualifications do I need for the Data Engineer III role at AbbVie?

For the Data Engineer III position at AbbVie, candidates should possess a Bachelor's degree with at least 8 years of experience, or a Master's degree with 7 years. You must have over 10 years of experience in designing and maintaining data pipelines, along with expertise in Azure, Snowflake, and Databricks. Strong programming skills and experience in data governance are also essential.

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How does AbbVie ensure collaboration among teams for the Data Engineer III position?

AbbVie fosters collaboration by encouraging Data Engineer III professionals to work closely with Data Analytics, Engineering, and Product teams to align data strategies with business goals. You'll participate in cross-functional meetings, where you can understand different data needs and contribute to joint initiatives for data management and insights generation.

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What programming languages should I be proficient in as a Data Engineer III at AbbVie?

As a Data Engineer III at AbbVie, it's crucial to have proficiency in modern programming languages such as PySpark, Python, Java, and JavaScript frameworks like React JS. Familiarity with SQL and knowledge of data visualization platforms like PowerBI can also enhance your effectiveness in this role.

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What is the work environment like for a Data Engineer III at AbbVie?

AbbVie provides a dynamic and collaborative work environment where Data Engineer III professionals are encouraged to innovate and share insights. With a strong focus on end-to-end solution delivery and agile project management, you'll find ample opportunities to lead projects and engage with teammates across various departments.

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Common Interview Questions for Data Engineer III
Can you describe your experience with cloud-based data lakes and warehouses?

When answering this question, focus on specific projects where you've designed or maintained data lakes or warehouses, particularly in Azure or Snowflake. Detail your role in optimizing performance and managing data architecture.

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What strategies do you use for data governance?

Explain your approach to establishing data governance frameworks. Discuss how you ensure data accuracy, security, and compliance within large datasets, and how you engage stakeholders for feedback on governance policies.

Join Rise to see the full answer
How do you handle issues related to data quality?

Describe your experience with data profiling and cleansing techniques. Discuss your familiarity with data quality tools and how you've implemented strategies to enhance data integrity in previous roles.

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What programming languages are you most comfortable with?

Highlight programming languages you excel in, especially PySpark, Python, and Java. Provide examples of projects where you've utilized these languages to solve data engineering challenges.

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How do you approach collaboration with cross-functional teams?

Discuss your experiences collaborating across different departments. Emphasize your communication skills and how you tailor technical concepts for non-technical audiences to ensure alignment on project goals.

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Can you give an example of a successful data pipeline you've developed?

Provide a case study of a specific data pipeline you created, detailing the technologies you used, challenges faced, and how you measured success in terms of data delivery and impact.

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What role does containerization play in your data engineering practices?

Explain your understanding of containerization and how you've used tools like Docker or Kubernetes to streamline data processes, improve deployment consistency, and simplify scaling solutions.

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Describe your experience with data visualization and reporting tools.

Talk about your knowledge of data visualization platforms like PowerBI. Provide examples of how you've turned complex data into actionable insights through effective visualizations.

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How do you stay updated on current trends in data engineering?

Share your strategies for professional development, including attending workshops, following industry leaders on social media, and participating in online forums or webinars related to data technology and engineering.

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What do you think are the most important qualities for a Data Engineer III?

Discuss qualities such as analytical thinking, excellent communication skills, collaboration, adaptability, and a strong foundation in data management principles. Relate these qualities to your own professional experiences.

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AbbVie’s mission is to discover and deliver innovative medicines 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: i...

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Full-time, on-site
DATE POSTED
March 12, 2025

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