Staff Engineer, Data Engineering

1010 Analog Devices Inc.; Wilmington (MA); Hybrid; USD 179,000 - 210,000; Full time

Benefits offered by this job

Medical coverage

Vision coverage

Dental coverage

401k

Paid vacation

Holidays

Sick time

Other benefits

Job summary

Analog Devices, Inc. is seeking a Staff Engineer, Data Engineering in Wilmington, MA, offering a hybrid work model with partial telecommute. The role focuses on building scalable data pipelines, ETL, and real-time analytics for battery data, and deploying AI/ML workflows in production.

Requires a master's degree and 5+ years of relevant experience, plus extensive cloud and big data tooling expertise. Responsibilities include coordinating with internal/external stakeholders, ensuring data

Qualifications

• Master's degree in CS/CE/SE/Data Eng or equivalent and 5+ years of relevant experience.
• Experience architecting scalable big data pipelines, ETL, and real-time analytics.
• Proficiency in Python and/or Spark for data pipelines handling large-scale time-series data.
• Strong data warehousing, modeling, and DB/NoSQL design with Snowflake/Redshift/DBT.
• Cloud-based data pipelines with AWS services (S3, EC2, Glue, Lambda, Kinesis).
• Proficient in Kafka, Spark, Airflow/Prefect; SQL and NoSQL DBs for batch/streaming.
• Experience with GitHub, CI/CD, Docker/Kubernetes; ML model training/deployment in AWS SageMaker.
• Collaborates with cross-functional teams to translate requirements into pipelines.

Responsibilities

• Architect, design, and maintain scalable data pipelines and ETL processes.
• Develop real-time analytics and integrate ML model outputs into pipelines.
• Coordinate deliverables with internal and external stakeholders.
• Ensure data quality, validation, cleansing, and transformation.
• Design data storage solutions and manage cloud-based data infrastructure.
• Stay current with data Eng/AI trends and recommend improvements.

Skills

Python

Spark

SQL

NoSQL

ETL

Data pipelines

AI/ML workflows

Cloud data infra

GitHub

Docker

Kubernetes

Apache Kafka

Apache Spark

Airflow/Prefect

Snowflake/Redshift/DBT

AWS SageMaker

Education

Master's degree in Computer Science, Computer Engineering, Software Engineering, Data Engineering or related field

Tools

DBT

Snowflake

Redshift

Apache Iceberg/Delta Lake

AWS (S3, EC2, Glue, Lambda, Kinesis)

Kafka

Apache Spark

Airflow/Prefect

GitHub

Docker

Kubernetes

SageMaker

Job description

About Analog Devices

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, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.

Job Title

Staff Engineer, Data Engineering

Job Requisition

1010.1330.5 / R266553

Location

Wilmington, Massachusetts

Contract Type

Full Time

Rate of Pay

$178,547 - $209,715 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.
• 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.
• Deploy and support machine learning workflows and AI/ML models in production environments, collaborating with algorithm engineers to integrate model outputs into scalable data pipelines.
• Stay up to date with emerging trends and technologies in the field of data engineering and AI/ML, and continuously evaluate and recommend improvements to 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 five (5) years of experience in the offered job or Staff Engineer, Data Engineering-related occupation.
• Position also requires at least (3) years of experience with each of the following:
• Demonstrated Expertise (DE) architecting, designing, developing, and maintaining scalable big data pipelines, ETL processes, and real-time analytics frameworks, including experience with cloud-based data infrastructure, AI/ML workflow integration, and data quality processes.
• DE utilizing programming languages such as Python and/or Spark programming to design and build scalable data pipelines for processing large-scale time-series data originating from laboratory or device-based systems.
• DE with analytics engineering and data warehousing, including dimensional and normalized data modeling, schema evolution, and relational and non-relational database design, utilizing tools such as DBT, Snowflake, Redshift, and open table formats including Apache Iceberg or Delta Lake to support scalable cloud-based analytical workloads.
• DE designing and deploying cloud-based data pipelines using storage, compute, data integration, and streaming services such as AWS (S3, EC2, Glue, Lambda, Kinesis).
• DE programming with big data frameworks and data integration tools, including Apache Kafka, Apache Spark, and workflow orchestration platforms (Airflow or Prefect), and proficiency with SQL and NoSQL databases to support batch and large-scale time-series data streaming.
• DE managing and deploying data pipeline infrastructure, including version control systems such as GitHub, CI/CD automation, containerization and orchestration using Docker and Kubernetes, and integrating ML model training and deployment workflows using AWS SageMaker.
• DE collaborating with cross-functional teams including algorithm engineers, hardware or device engineers, and domain experts to gather data requirements, translate business and engineering objectives into functional pipeline specifications, and manage and coordinate deliverables across both internal and external stakeholders.

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

Contact

Eligible for employee referral program.

Export Compliance

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.

Equal Opportunity

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.

Travel

No

Shift Type

1st Shift/Days

Wage and Bonuses

The 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.

Benefits

• Medical coverage
• Vision coverage
• Dental coverage
• 401k
• Paid vacation
• Holidays
• Sick time
• Other benefits

About Analog Devices (Repeat)

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, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.

Come join 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.