Data Engineer

Sorry, this job was removed at 05:23 p.m. (CST) on Wednesday, Feb 19, 2025
Wilmington, MA
In-Office
97K-133K Annually
AdTech • Big Data • Analytics
The Role

Come join Analog Devices (ADI) – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare.

ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future. 

ADI At A Glance

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 $12 billion in FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.com and on LinkedIn.

          

Job Description: 
As a Data Engineer, you will be responsible for designing, building, and optimizing the organization’s data architecture. This role involves developing scalable data pipelines, managing large-scale databases, and ensuring efficient data processing. You will collaborate with stakeholders to understand data requirements and ensure that data infrastructure supports the organization's needs while maintaining the integrity and quality of data throughout its lifecycle. 

Key Responsibilities: 

  • Design, build, and maintain scalable data pipelines for extracting, transforming, and loading (ETL) data. 

  • Develop and optimize relational and non-relational databases to ensure efficient data storage and retrieval. 

  • Implement data warehousing solutions like Redshift or Snowflake to support large-scale data management. 

  • Utilize scripting languages such as Python or R for data manipulation, automation, and analysis. 

  • Ensure data integrity, accuracy, and consistency across all processes and systems. 

  • Collaborate with cross-functional teams, including data scientists and analysts, to support their data needs and projects. 

Skills You Will Need to Be Successful: 

  • Strong expertise in SQL and relational/non-relational database management. 

  • Advanced knowledge of ETL processes and data pipeline design. 

  • Proficiency in data warehousing solutions (e.g., Redshift, Snowflake) for large-scale data storage. 

  • Experience with scripting languages such as Python or R for data manipulation and automation. 

  • Strong problem-solving skills with a focus on data accuracy and system optimization. 

Minimum Qualifications: 

  • Master’s Degree in Computer Science, Data Engineering, or a related field preferred 

  • 2+ years of experience in data engineering, database management, or similar roles. 

  • Proven experience with building and maintaining scalable data architectures. 

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Graduate Job

          

Required Travel: Yes, 10% of the time

          

The expected wage range for a new hire into this position is $97,060 to $133,458.

  • 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.

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The Dynata data platform, an all-in-one solution for insights, activation and measurement, leverages our robust data, innovative technology and more than 40 years’ experience as a pioneer in consumer and B2B insights. Our vision for the Dynata data platform is to automate the entire marketing continuum, with capabilities to target audiences; uncover insights; connect data; activate, measure and optimize campaigns; and analyze, visualize, publish and share those insights to drive your business growth.

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