Change the world. Love your job.
We are seeking a data professional to use data to solve business problems and build the infrastructure needed to improve processes. In this role, you will streamline data science workflows to enhance our products, lifecycle operations, and retention models. You will collaborate closely with data science and business intelligence teams to design data models and pipelines for research, reporting, and machine learning. Additionally, you will champion best practices and promote continuous learning across the organization.
Responsibilities include:
A Data Engineer is responsible for designing, building, and maintaining large-scale data systems, architectures, and pipelines. Key responsibilities include:
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Data Architecture: Designing and implementing data warehouses, lakes, and pipelines to store and process large datasets.
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Data Ingestion: Developing data ingestion pipelines to collect data from various sources, such as APIs, files, and databases.
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Data Processing: Building data processing workflows using tools like Apache Beam, Spark, or Flink to transform, aggregate, and analyze data.
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Data Storage: Managing data storage solutions like relational databases, NoSQL databases, or cloud-based storage systems.
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Data Quality: Ensuring data quality, integrity, and security by implementing data validation, data cleansing, and data governance processes.
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Collation: Working with data scientists, analysts, and other stakeholders to understand data requirements and deliver data products.
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Troubleshooting: Identifying and resolving data pipeline issues, optimizing data processing workflows, and ensuring data system reliability.
Qualifications
Minimum Requirements:
- Bachelor's degree: In Computer Science, Information Technology, Industrial Engineering, or a related field.
- Academic achievement more than 3.3 CGPA
Technical Skills:
- Programming languages: Java, Python, Scala
- Data processing frameworks: Apache Spark, Apache Beam, Apache Flink
- Data storage solutions: Relational databases, NoSQL databases, cloud-based storage systems
- Data ingestion tools: Apache Kafka, Apache NiFi, AWS Kinesis
Soft Skills:
- Communication: Collaborating with stakeholders to understand data requirements
- Problem-solving: Identifying and resolving data pipeline issues
- Time management: Prioritizing tasks and managing multiple projects
- Continuous learning: Staying up-to-date with new technologies and trends in data engineering.
- Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
- We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
- Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here
Skills Required
- Bachelor's degree in Computer Science, Information Technology, Industrial Engineering, or related field
- Academic achievement with a CGPA greater than 3.3
Texas Instruments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Texas Instruments and has not been reviewed or approved by Texas Instruments.
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Strong & Reliable Incentives — Profit sharing and annual bonuses are portrayed as a meaningful, formula-linked upside that can materially lift total earnings in strong years. An employee stock purchase plan with a discount further reinforces recurring, wealth-building incentives.
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Retirement Support — A 401(k) match is described as a stable core benefit, with some references to additional legacy employer contributions and even pension-like elements for certain cohorts. This framing positions long-term savings support as a notable part of the overall rewards package.
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Healthcare Strength — Medical coverage is depicted as broadly comprehensive, with preventive care and access to HSA/FSA features cited as value-adds. Company-seeded HSA contributions are repeatedly characterized as an important offset to the plan design for those enrolled.
Texas Instruments Insights
What We Do
Texas Instruments develops semiconductor and computer technology for cellular handsets, digital signal processors and analog semiconductors. Texas Instruments has been making progress possible for decades. We are a global semiconductor company that designs, manufactures, tests and sells analog and embedded processing chips. Our more than 80,000 products help over 100,000 customers efficiently manage power, accurately sense and transmit data and provide the core control or processing in their designs, going into markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. Our passion to create a better world by making electronics more affordable through semiconductors is alive today as each generation of innovation builds upon the last to make our technology smaller, more efficient, more reliable and more affordable – opening new markets and making it possible for semiconductors to go into electronics everywhere. We think of this as Engineering Progress. It’s what we do and have been doing for decades. Learn more https://news.ti.com/index.cfm
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