Staff Data Engineer: Big Data Pipelines & ML (Hybrid)

Analog Devices, Inc.; Wilmington (DE); On-site; USD 179,000 - 210,000; Full time

Benefits offered by this job

Partial telecommute

Comprehensive benefits

Job summary

Analog Devices, Inc. in Wilmington, MA, is seeking a Staff Engineer, Data Engineering to architect, implement, and scale large-scale data pipelines and real-time analytics for battery data.

You will collaborate with algorithm engineers and cross-functional teams to translate requirements into robust data solutions. Responsibilities include ETL design, data quality, and deploying ML workflows in production, with partial telecommute up to 2 days/week.

Qualifications

• Master’s degree required in a technical field and 5 years of relevant experience.
• Experience architecting scalable big data pipelines, ETL, and real-time analytics.
• Proficiency with Python/Spark for large-scale data processing.
• Strong data warehousing knowledge and cloud data infrastructure.

Responsibilities

• Architect, design, develop, and maintain scalable big data pipelines and real-time analytics.
• Translate business requirements into data pipeline specifications and manage deliverables.
• Identify data storage and retrieval solutions based on needs.
• Ensure data quality, integrity, and accuracy through validation and cleansing.
• Deploy and support ML workflows in production with integration into pipelines.
• Stay current with data engineering and AI/ML trends and propose improvements.

Skills

Python

Spark programming

ETL design

Data pipelines

SQL

NoSQL databases

Data modeling

Machine learning workflows

Time-series data

Education

Master's degree in CS/CE/SE/DE

Tools

DBT

Snowflake

Redshift

Apache Iceberg/Delta Lake

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

SageMaker

GitHub

Docker/Kubernetes

Apache Kafka

Airflow/Prefect

Job description

Analog Devices, Inc. in Wilmington, MA, is seeking a Staff Engineer, Data Engineering to architect, implement, and scale large-scale data pipelines and real-time analytics for battery data.

You will collaborate with algorithm engineers and cross-functional teams to translate requirements into robust data solutions. Responsibilities include ETL design, data quality, and deploying ML workflows in production, with partial telecommute up to 2 days/week.