Principal Engineer, Data Engineering

Partial Telecommute Benefit (2 days/week work from home)

Requirements: Must have a Master’s degree in Information Technology, Computer Science, Electrical Engineering, Computer Engineering, or a related field (willing to accept a foreign education equivalent) and five (5) years of experience in the proffered role or related occupation defining, architecting, and rolling out data products, including ownership of data products through their entire lifecycle. Or in the alternative, a Bachelor’s degree in Information Technology, Computer Science, Electrical Engineering, Computer Engineering, or a related field (willing to accept a foreign education equivalent) and seven (7) years of experience in the proffered role or related occupation defining, architecting, and rolling out data products, including ownership of data products through their entire lifecycle.

Must also possess the following (quantitative experience requirements not applicable to this section):

• Demonstrated Expertise (“DE”) with distributed systems, streaming systems, and data engineering tools, such as Spark, Kubernetes, Terraform, Kafka, Pub Sub, Airflow, or Hadoop.
• DE with ETL tools such as Informatica, Talend, SQL, or Python, databases like Oracle, SQL Server or Vertica), analytical and visualization tools Looker, AtScale, Tableau, or Business Objects.
• DE with cloud-native data architectures and services/platforms, such as GCP (BigQuery, Dataflow) or Azure (Synapse, Fabric) or AWS (Redshift, Glue), with a focus on scalable, cost-effective solutions.
• DE in data governance, security, and compliance, including implementation of data quality frameworks, lineage tracking, and access controls across distributed data environments.
• DE in applying foundational machine learning concepts to data engineering workflows, enabling model deployment, and forecasting techniques to empower non-technical stakeholders to access insights and automate decision-making.
• DE in observability, monitoring, and performance tuning for distributed data systems, and building observability frameworks using tools like Grafana, Datadog and custom metric instrumentation.
• DE with architect and implement large scale complex projects and lead and mentor data engineers.
• DE collaborating successfully with cross-functional teams and prioritize stakeholder goals and requirements.

Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R265694.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Experienced

Required Travel: No

Shift Type: 1st Shift/Days

Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.