Data Engineer
At a glance
Mid-level Data Engineering role at Edbz. Dallas · full-time · no salary stated · we estimate $120,615–$139,000.
Edbz has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Untangle manufacturing problems with several stakeholders and prepare the data they need to make decisions
- Build customer-facing and internal visualizations, server-side ETL flows, databases and data transformation algorithms
- Resolve system disruptions and reduce the chance of recurrence while automating data pulls and manufacturing steps
- Use operational records and system logs to measure process effects and production performance
- Assess software and emerging technology for semiconductor work, then incorporate useful options into manufacturing operations
What you bring
- A bachelor's in systems engineering, computer science or another listed discipline; other engineering degrees need strong software skills
- At least three years as a data engineer in semiconductor or high-tech manufacturing
- Proficiency in one or more programming languages and SQL query writing
- Experience with data visualization platforms
Who this fits
This role suits a mid-level data engineer with manufacturing, analytics and software development experience. You need to work in a clean room while wearing a smock.
From the employer
Change the world. Love your job.
About the job:
The TI North Texas region 300mm Industrial Engineering and Advanced Data Analytics team is looking for an accomplished Data engineer with strong high-tech manufacturing, process modeling, data analytics and software development experience to join their growing team.
Do you have experience in semiconductor manufacturing, data analytics and software development? Do you want to work for an organization that values your opinion? Do you want to work for an organization where you can play a pivotal role in several different areas? Do you want to be part of an organization that is driving the future of advanced smart manufacturing? Look no further. Texas Instruments (TI) is looking for a qualified Data Engineer to support and drive our growing advanced 300mm manufacturing operations. Here’s your opportunity to work in a vibrant and dynamic team-oriented environment with exposure to a variety of state-of-the art applications each day.
Responsibilities include:
- Analyze complex operational challenges involving multiple stakeholders, driving towards optimal solutions in a complex and dynamic manufacturing environment.
- Working closely with stakeholders to provision data for decision making data and analytics.
- Creating data visualizations for internal and external customers.
- Developing and maintaining server-side Extract Transform Load (ETL) data pipelines and custom databases.
- Formulating and coding algorithms in support of data transformation.
- Troubleshooting system interruptions and harden against future occurrences.
- Working and communicating effectively across functional, hierarchical, and cultural boundaries.
- Ability to assess emerging technologies and software solutions relevant to semiconductor manufacturing, then integrate them into our operations in the spirit of "Lights Out" manufacturing.
- Strong understanding of manufacturing processes.
- Automating data extraction and manufacturing processes.
- Conduct operation performance analysis to support decision making process.
- Collect and validate operational performance data via strong analytic methods on automation and system logs to analyze performance impact of various process requirement.
- Working with database to-extract critical data required to analyze production impact.
- Analyzing and maintaining large data sets.
- Strong project management skills.
- Designed and developed software solutions that significantly enhanced operational efficiency
Unique Selling Features of the Job:
Be part of the top TI North Texas 300mm industrial engineering and advanced data analytics team working in the most cutting-edge environment with high growth potential. Opportunities to learn new skill sets and being mentored by industry leaders. We believe in thinking outside the box and exercising your creative abilities to help solve complex, dynamic and fluid problems.
Minimum Requirements:
- Bachelor's degree in System Engineering, Computer Science, Data Science or Information Systems. Other engineering majors will be considered with demonstrated strong experience in software development
- 3 years of relevant experience as a Data Engineer within the semiconductor industry or high tech manufacturing industry.
- Demonstrated proficiency in one or more programming languages such as Python, Java, C++, etc.
- Proficiency with SQL queries.
- Experience in data visualization platforms
- Ability to work in a clean room environment while wearing a smock.
Preferred Qualifications:
- Previous experience with Semiconductor MES
- Front and/or Back End Development experience
- Familiarity with data virtualization software such as Denodo
- Familiarity with dashboard reporting software such as Spotfire, Tableau, PowerBI, etc
- Familiarity with Linux server environments and Git version control
- Previous work with Operations Research, Machine Learning, Digital Twin is a plus
- Demonstrated strong analytical and problem-solving skills
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Data Engineering
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