Data Engineer / Data Analyst

NXP Semiconductors

. Support global design groups with EDA flows related to semiconductor chip development .

Posted 9/30/2026full-timeAustin • Texas • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and operating big data reporting pipelines, utilizing AWS cloud services, and ensuring data quality. Capable of managing customer requirements and delivering maintainable solutions while collaborating with cross-functional teams.

Highest-signal resume keywords

Big Data Reporting Pipeline DevelopmentAWS Cloud Platform ExperienceStrong SQL SkillsPython Scripting SkillsData Quality Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Big Data ReportingData Pipeline DevelopmentSQLPythonData CleaningData AnalysisData VisualizationAutomationData Quality AssuranceSoftware Engineering Processes

Soft Skills

Customer Requirement ManagementProblem AnticipationCollaborationPresentation SkillsAdaptability

Tools & Technologies

AWS AthenaAWS RDSAWS GlueAWS Cloud FormationAWS SparkAWS LambdaAWS S3AWS EC2AWS ECSTableau

Industry Keywords

SemiconductorEDA ToolsData EngineeringOperational AnalyticsAI Workflow Tools

Tech Stack

Tools & technologies

AWSCloudEC2PandasPythonSparkSQLTableau

About the role

Key responsibilities & impact

Support global design groups with EDA flows related to semiconductor chip development
Support digital and analog EDA tools and initiatives that automate and optimize chip development
Improve and optimize semiconductor development flows and compute utilization across NXP
Work with cross-functional teams including design teams, flow developers, IT, and finance
Use the AWS cloud platform to develop, automate, and maintain data pipelines
Feed operational analytics, opportunity analyses, forecasting, and prediction engines
Develop and operate big-data reporting pipelines from source to end user
Manage customer requirements and plan data analysis projects
Draw and present conclusions from complex data sources using tools to tell a compelling story
Develop maintainable solutions and ensure data quality

Requirements

What you’ll need

At least 3+ years of experience in a data engineering role
Development and operation of "big data" reporting pipelines, from source to end-user
Ability to work with demanding customers and deliver solutions that anticipate requirements
Ability to manage customer requirements and plan data analysis projects
Cloud data platform experience; AWS preferred
AWS skills with Athena, RDS, Glue, Cloud Formation, Spark, Lambda, S3, EC2, and ECS
Experience in Tableau, PowerBI, or another BI platform desirable, particularly in automating these tools
Experience with AI coding assistants and agentic AI workflow tools a plus
Experience with open-source data engineering tools such as DBT and Dagster desirable
Strong SQL skills
Experience in cleaning and rationalizing data
History of drawing and presenting conclusions from complex data sources
Strong Python scripting skills; Pandas and Boto3 experience desirable
Strong ownership of data quality and ability to anticipate problems
Ability to develop solutions with long-term maintainability
Familiarity with basic software engineering processes (CM, CI, Release Management, and ticketing workflows)
Semiconductor experience a plus
Appetite for learning new tools and skills

Benefits

Comp & perks

Equal Opportunity/Affirmative Action Employer
Reasonable accommodations for otherwise qualified disabled individuals