Staff Data Engineer - Hybrid Big Data & Real-Time Analytics

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

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