Staff Data Engineer — Hybrid/Remote Real-Time ML Pipelines

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

Benefits offered by this job

Partial telecommute (up to 2 days/week

Benefits and healthcare

Job summary

Analog Devices, a global semiconductor leader, seeks a Staff Engineer, Data Engineering to architect and scale data pipelines, enable real-time analytics, and integrate AI/ML models into production systems. The role collaborates with algorithm and hardware engineers and supports cloud-based analytics at scale.

Partial telecommute is available (up to 2 days/week). A Master’s degree and 5 years of related experience are required, with strong expertise in Python, Spark, data warehousing, and cloud

Qualifications

• Master’s degree in Computer Science, Computer Engineering, Software Engineering, Data Engineering or closely related field.
• 5 years of experience in staff engineer-level data engineering roles.
• Experience architecting scalable big data pipelines, ETL and real-time analytics.
• Proficiency with cloud-based data infrastructure and ML workflow integration.

Responsibilities

• Architect, design, develop, and maintain scalable big data pipelines and ETL processes.
• Coordinate deliverables across internal and external stakeholders.
• Identify data storage and retrieval solutions based on business needs.
• Ensure data quality, integrity, and accuracy through validation and transformation.
• Deploy and support ML workflows and AI/ML models in production with engineers.
• Stay updated on data engineering and AI/ML trends and recommend improvements.

Skills

Big data architecture

Python

Spark

SQL

NoSQL

Cloud data platforms

ML workflow integration

Education

Master’s degree in Computer Science or related field

Tools

AWS SageMaker

Apache Kafka

Apache Spark

Airflow

Prefect

GitHub

Docker

Kubernetes

Snowflake

Redshift

DBT

Delta Lake

Iceberg

Job description

Analog Devices, a global semiconductor leader, seeks a Staff Engineer, Data Engineering to architect and scale data pipelines, enable real-time analytics, and integrate AI/ML models into production systems. The role collaborates with algorithm and hardware engineers and supports cloud-based analytics at scale.

Partial telecommute is available (up to 2 days/week). A Master’s degree and 5 years of related experience are required, with strong expertise in Python, Spark, data warehousing, and cloud