Optomi

Full Stack Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Full Stack Data Engineer with a contract length of "unknown," offering a pay rate of "$/hour." Work location is "remote." Key skills required include React, Python, Databricks, and experience in data engineering. A background in Software Development or Computer Science is essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 26, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Plano, TX
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🧠 - Skills detailed
#Data Engineering #Data Pipeline #Spark (Apache Spark) #Computer Science #Databricks #PySpark #Programming #ML (Machine Learning) #Data Modeling #Pandas #Python #SQL (Structured Query Language) #Data Processing #React #AI (Artificial Intelligence)
Role description
Optomi, in partnership with a leading telecommunications company, is seeking a Full Stack Data Engineer to design, develop, and maintain a portfolio of critical business platforms supporting various AI applications and platforms, including a new Pricing Engine. What the Right Professional Will Enjoy: β€’ Working in a collaborative environment focused on building and improving multiple platforms, with a primary focus on a Pricing Engine β€’ Developing frontend interfaces using React to provide intuitive, data-rich user experiences β€’ Designing and maintaining backend systems with Python and Databricks, supporting data pipelines and analytics for pricing decisions β€’ Exposure to machine learning applications in pricing and analytics (nice-to-have) β€’ A highly visible role supporting critical business operations within a large telecommunications organization Apply today if your background includes: β€’ Development background or Bachelor’s degree in Software Development, Computer Science, or related field β€’ Experience with React and building frontend web applications β€’ Strong Python programming skills for backend development and data processing β€’ Experience with Databricks, Spark, or PySpark for building data pipelines and analytics workflows β€’ Familiarity with SQL, Pandas, or data modeling for business logic β€’ Experience with mobile applications or voice platforms is a plus