DATA ENGINEER

$95,500 - $190,900/Yr

Abbott Laboratories - Alameda, CA

posted 2 months ago

Full-time - Mid Level
Alameda, CA
10,001+ employees
Miscellaneous Manufacturing

About the position

As a Data Engineer at Abbott, you will play a crucial role in the development of Lingo, a cutting-edge biosensing technology that empowers users to monitor key health biomarkers. This position is integral to the future of personalized healthcare, where you will contribute to building next-generation technology that aids individuals in making informed decisions regarding their health, energy levels, weight management, and athletic performance. The Lingo team operates with a start-up culture, supported by Abbott's extensive history of healthcare innovation, providing a unique opportunity to grow your career while making a significant impact in the healthcare sector. In this role, you will collaborate closely with a multidisciplinary agile team to design, develop, optimize, and maintain data architecture and pipelines that align with ETL principles and business objectives. You will tackle complex data challenges to deliver actionable insights that drive the organization towards its goals. Your expertise in coding with Python and Scala, along with tools like Apache Spark and Kafka, will be essential in building a robust multi-cluster data warehouse. You will also interact with various technology teams to ensure smooth deployments and prioritize operational components effectively. Additionally, you will have the opportunity to mentor and coach other data and analytics professionals, fostering a culture of knowledge sharing and operational efficiency. By codifying best practices and creating reusable patterns and templates, you will facilitate effective data capturing and management, ensuring that the organization can leverage its data assets to their fullest potential.

Responsibilities

  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
  • Solve complex data problems to deliver insights that help the organization achieve its goals
  • Code in Python and Scala with tools like Apache Spark/Kafka to build a multi-cluster data warehouse
  • Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components
  • Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices
  • Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions
  • Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management

Requirements

  • 4+ years of relevant experience in data engineering/analytics space
  • Expertise in SQL and data analysis and strong hands-on expertise with at least one programming language: Python and/or Scala
  • Strong knowledge in one or more of the following big data tools: Hive, Hadoop Impala, Spark, Kafka
  • Strong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experience
  • Experience developing solutions for cloud computing services and infrastructure
  • Experience developing and maintaining data warehouses in big data solutions
  • Up-to-date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective
  • Experience in agile development
  • Strong people skills, specifically in collaboration and teamwork
  • High level of curiosity, creativity, and problem-solving capabilities

Benefits

  • Career development with an international company
  • Free medical coverage for employees via the Health Investment Plan (HIP) PPO
  • An excellent retirement savings plan with high employer contribution
  • Tuition reimbursement and the Freedom 2 Save student debt program
  • FreeU education benefit for affordable bachelor's degree
  • Recognition as a great place to work in multiple countries
  • Recognition for diversity and inclusion efforts
  • Paid time off
  • 401(k) retirement savings with a generous company match
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