Senior Engineer, Data Engineering

Analog Devices-posted 3 months ago
$162,552 - $163,200/Yr
Full-time • Mid Level
Remote • Wilmington, MA
5,001-10,000 employees
Computer and Electronic Product Manufacturing
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Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and Twitter (X). The position is for a Senior Engineer in Data Engineering located in Wilmington, Massachusetts. This is a full-time role with a salary range of $162,552.00 - $163,200.00 per year. The role involves architecting, designing, developing, and maintaining scalable and efficient big data pipelines, ETL processes, and real-time analytics frameworks to process battery data. The engineer will translate business objectives into functional specifications, collaborate with cross-functional teams, ensure data quality, and stay updated with emerging trends in data engineering.

  • Architect, design, develop, and maintain scalable and efficient big data pipelines, ETL processes, and real-time analytics frameworks to process battery data.
  • Translate business objectives and requirements into functional specifications on data pipelines.
  • Manage and coordinate deliverables to both internal and external stakeholders.
  • Collaborate with cross-functional teams to gather data requirements and implement data solutions.
  • Identify and implement appropriate data storage and retrieval solutions based on business needs.
  • Ensure data quality, integrity, and accuracy through data validation, cleansing, and transformation techniques.
  • Monitor and optimize data infrastructure performance, troubleshoot issues, and provide timely resolution.
  • Stay up to date with emerging trends and technologies in the field of data engineering and continuously evaluate and recommend improvements to our data infrastructure, tools, and processes.
  • Must have a Master's degree in Computer Science, Computer Engineering, Software Engineering, Data Engineering, or closely related technical discipline (willing to accept foreign education equivalent).
  • Three (3) years of experience in architecting, designing, developing, and maintaining big data pipelines, ETL processes, and real-time analytics frameworks.
  • Demonstrated Expertise (DE) in programming languages including Python or Scala.
  • DE in data modeling, database design, and data warehousing concepts.
  • DE with cloud-based data platforms (e.g., AWS, GCP, and Snowflake) and related services (e.g., S3, EC2, Sagemaker, Redshift, and BigQuery).
  • DE working with data integration tools, big data frameworks (e.g., Apache Kafka, Spark, Airflow, and Perfect), and database technologies including SQL and NoSQL.
  • DE with version control systems, including GitHub, and containerization technologies (Docker and Kubernetes).
  • Medical, vision and dental coverage
  • 401k
  • Paid vacation
  • Holidays
  • Sick time
  • Discretionary performance-based bonus
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