Data engineer serp_jobs.h1.location_city

About Analog Devices

Analog Devices, Inc. (NASDAQ :  ) 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 and on and.

Employer : Analog Devices, Inc.

Job Title : Senior Engineer, Data Engineering

Job Requisition :   R255730

Job Location : Wilmington, Massachusetts

Job Type : Full Time

Rate of Pay :  $162,552.00 - $163,200.00 per year

Duties :

Architect, design, develop, and maintain scalable and efficient big data pipelines, ETL (Extract, Transform, Load) processes, and real-time analytics frameworks to process battery data. Translate business objectives and requirements into functional specifications on data pipelines and 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.

Partial telecommute benefit (up to 2 days / week work from home).

Requirements :

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) and three (3) years of experience in the proffered job or related occupation architecting, designing, developing, and maintaining big data pipelines, ETL processes, and real-time analytics frameworks to process data.

Must also possess the following (quantitative experience requirements not applicable to this section) :

• 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; and
• DE with version control systems, including GitHub, and containerization technologies (Docker and Kubernetes).

Contact : Eligible for employee referral program. Apply online at and Reference Position Number : R255730 .

Job Req Type : ExperiencedRequired Travel : NoShift Type : 1st Shift / Days

Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time , and other benefits.