**Data Engineer** At Applied Materials, we are building the next generation fab automation solutions using Artificial Intelligence and Machine Learning. Our AI/ML team is looking for a Data Engineer who will be responsible for expanding and optimizing Quality Process data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer will support our software developers, database architects, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. **Responsibilities** + Create and maintain optimal data pipeline architecture + Assemble large, complex data sets that meet functional / non-functional business requirements. + Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies + Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. + Work with stakeholders including the Product management, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. + Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. + Work with data and analytics experts to strive for greater functionality in our data systems. **Qualifications** + Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. + Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. + Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. + Strong analytic skills related to working with unstructured datasets. + Build processes supporting data transformation, data structures, metadata, dependency and workload management. + A successful history of manipulating, processing and extracting value from large disconnected datasets. + Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. + Strong project management and organizational skills. + Experience supporting and working with cross-functional teams in a dynamic environment. + Experience with big data tools: Hadoop, Spark, Kafka, etc. + Experience with relational SQL and NoSQL databases, including Postgres, Cassandra, MongoDB, ClickHouse + Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. + Experience with cloud services: such as EC2, EMR, RDS, Redshift, Azure services + Experience with stream-processing systems: Storm, Spark-Streaming, etc. + Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. **Education/Experience** + Candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. **Qualifications** **Education:** Bachelor's Degree **Skills:** **Certifications:** **Languages:** **Years of Experience:** 4 - 7 Years **Work Experience:** **Additional Information** **Time Type:** Full time **Employee Type:** Assignee / Regular **Travel:** Yes, 10% of the Time **Relocation Eligible:** No **U.S. Salary Range:** $132,000.00 - $181,500.00 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.