Data Engineer III

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

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

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Category: Engineering Jobs

Tags: Agile APIs Architecture Azure Data Analytics Databricks Data governance Data management Data pipelines Data quality Data visualization Docker ELT Engineering Java Kafka Kubernetes Node.js PhD Pipelines Power BI PySpark Python React Salesforce SDLC Snowflake Spark SQL Streaming Unstructured data

Perks/benefits: Health care Insurance Salary bonus

Region: North America
Country: United States

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