Applied Materials
Data Engineer
Job Description
Applied Materials’ IT organization has a long reputation of being a great place to work. The IT team has been recognized as one of Computerworld’s 100 Best Places to Work in IT nine times. In addition, numerous Applied IT leaders have been honored as a CIO Magazine’s Ones to Watch or Computerworld Premier 100 IT leaders.
We are seeking an experienced Data Engineer to join our team onsite in Santa Clara, CA with a strong background in Data Engineering & technical expertise for IT business operations. You will be responsible for designing, developing, and maintaining data pipelines, data models, and reports that provide insights into the performance and efficiency of our IT organization. You will join a global team of high performing professionals to stand up a business intelligence capability that will enable us to analyze the business of IT from various facets including finances, people, work, technology, applications, and business capabilities.
Key Responsibilities:
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Design, develop, and maintain data pipelines that ingest, transform, and integrate data from disparate source systems.
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Build and optimize data models that support Data transformations and Engineering needs for the Business of IT.
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Create and deliver objects and dashboards that provide actionable insights into the performance and efficiency of our IT organization.
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Collaborate with business stakeholders, IT leaders, and data analysts to understand and define data requirements, metrics, and KPIs.
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Ensure data quality, accuracy, and consistency across data sources and reports.
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Research and evaluate new data sources, tools, and technologies to enhance our data model and analytics capabilities.
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Document and communicate data engineering and analytics processes, methodologies, and best practices.
Required Qualifications:
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3+ years of related experience with a Bachelor’s degree in Computer Science or equivalent.
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Proficient in SQL and Python, and familiar with other programming languages.
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3+ years in developing full-stack data frameworks, including ETL/ELT, data analysis, compute and storage, data pipelines, and orchestration.
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Must have hands-on experience in Cloud Architecture (Azure, GCP, AWS) and cloud-based databases (Synapse, Databricks, Snowflake, Redshift), as well as various data integration techniques (API, stream, file) using DBT, SQL/PySpark, and Python.
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Must have experience in leading data engineering teams with planning and execution using Agile methodology (Scrum/Kanban) within a DevSecOps model.
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Experience with unstructured data processing and real-time data pipelines.
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Ability to Identify and resolve performance and scalability issues.
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Excellent interpersonal and communication skills.
Qualifications
Education:
Bachelor’s Degree (Required)
Skills:
Microsoft Azure Databricks, PySpark, Python (Programming Language), Snowflake (Platform), SQL Coding
Certifications:
Languages:
Years of Experience:
1 – 2 Years
Work Experience:
Additional Information
Time Type:
Full time
Employee Type:
Assignee / Regular
Travel:
Yes, 10% of the Time
Relocation Eligible:
Yes
U.S. Salary Range:
$110,500.00 – $152,000.00
The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
