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

1010 Analog Devices Inc.

Wilmington (MA)

Hybrid

USD 179,000 - 210,000

Full time

10 days ago
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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

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