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# Data Engineer

- **Company:** Robotics Technologies LLC
- **Location:** Plano, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,160
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Data as a Services, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Relational Databases, Database Queries, DevOps, Apache Hadoop, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, NoSQL, Power BI, Tensorflow, Tableau (Software), Workflow Management Systems, Google Cloud, Pytorch, Apache Spark, Containerization, Scikit Learn, Kubernetes, Information Technology, Cassandra, Apache Kafka, Looker Analytics, Docker, Programming Languages
- **Published:** November 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7b460afeae07cfb1

## About the Role

Strong expertise in AI/ML Engineering, including experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit learn.
Proficient in programming languages such as Python, Java, or Scala.
Extensive experience with data modeling, ETL processes, and data warehousing solutions.
Hands on experience with big data technologies such as Hadoop, Spark, or Kafka.
Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.

Preferred Skills:

Experience with data visualization tools such as Tableau, Power BI, or Looker.
Knowledge of data governance and data privacy regulations.
Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
Familiarity with Agile methodologies and DevOps practices., Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; Master's degree preferred.
10 years of experience in data engineering or a related field, with a strong focus on AI/ML Engineering.
Proven ability to work in a fast paced environment and manage multiple priorities.
Excellent problem solving skills and attention to detail.
Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.
Equal Opportunity Employer