Staff Engineer, Data Engineering
Analog Devices2 months ago
Base Salary
$179k - $210k/yr
Responsibilities
- Architect, design, develop, and maintain scalable big data pipelines, ETL processes, and real-time analytics frameworks for battery data.
- Translate business and engineering objectives into functional data pipeline specifications and coordinate deliverables with internal and external stakeholders.
- Select and implement data storage and retrieval solutions based on business needs.
- Ensure data quality, integrity, and accuracy through validation, cleansing, and transformation.
- Deploy and support production machine learning workflows and integrate model outputs into scalable data pipelines.
- Evaluate emerging data engineering and AI/ML technologies and recommend improvements to infrastructure, tools, and processes.
Requirements
- Master’s degree in Computer Science, Computer Engineering, Software Engineering, Data Engineering, or a closely related technical discipline, with foreign education equivalents accepted.
- Five years of experience in the offered job or a related Staff Engineer, Data Engineering occupation.
- At least three years of experience architecting and maintaining big data pipelines, ETL processes, real-time analytics frameworks, cloud data infrastructure, AI/ML workflow integration, and data quality processes.
- At least three years of experience using Python and/or Spark programming for scalable pipelines processing large-scale laboratory or device-based time-series data.
- At least three years of experience with analytics engineering, data warehousing, dimensional and normalized modeling, schema evolution, and relational and non-relational database design using DBT, Snowflake, Redshift, Apache Iceberg, or Delta Lake.
- At least three years of experience designing and deploying cloud data pipelines using AWS storage, compute, data integration, and streaming services.
- At least three years of experience with Apache Kafka, Apache Spark, Airflow or Prefect, SQL, and NoSQL databases for batch and large-scale time-series streaming.
- At least three years of experience managing data pipeline infrastructure with GitHub, Docker, Kubernetes, and AWS SageMaker, including ML model training and deployment workflows.
- Experience collaborating with algorithm engineers, hardware or device engineers, domain experts, and internal and external stakeholders.
Benefits
- Partial telecommute benefit of up to two days per week working from home.
- Medical, vision, and dental coverage.
- 401(k), paid vacation, holidays, and sick time.
- Eligible for the employee referral program.
- Full-time, first-shift position in Wilmington, Massachusetts, with no required travel.
Tech Stack
Categories
Data Engineering
About Analog Devices
Analog Devices, Inc. designs and sells analog, mixed-signal, RF, power, sensor, and digital signal processing ICs to OEMs across industrial, automotive, communications, consumer, and healthcare markets. Founded in 1965 and headquartered in Wilmington, Massachusetts, the NASDAQ-listed company earns revenue from catalog and application-specific semiconductors and supporting software used in applications from factory automation and vehicles to data centers and medical devices.