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Ai Data Engineering Manager

Dallas,TX

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789 Ai Data Engineering Manager jobs in Dallas,TX

New, Posted 15 hours ago
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Software Engineer (Agentic AI/Data Engineering)

Gartner

Irving, TX 75039

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AI/ML Engineer

Lockheed Martin

Fort Worth, TX 76102

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Data Scientist/Sr Data Scientist, IOC Analytics

American Airlines

Fort Worth, TX 76101

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Lead AI Engineer (ML Ops)

Gartner

Irving, TX 75039

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Director Of Data Engineering

McKesson

Irving, TX 75039

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Product Manager- Agentic AI Contact Center

Optimum Communications

Plano, TX 75086

$123,379-$202,694/yr
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AI Signal Processing Engineer

Lockheed Martin

Fort Worth, TX 76102

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Data/Support Analyst - Spanish Reqd. - Remote

TELUS Digital

Dallas, TX

RemoteBilingual Preferred

  • Full Professional Proficiency in Spanish language
  • Being a resident in United States for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in United States
  • Ability to follow guidelines and conduct online research using search engines, online maps, and website information
  • Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance
  • Daily access to a broadband internet connection, computer, and relevant software
  • Open-book qualification exam to determine suitability for the position and complete ID verification
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New, Posted 15 hours ago
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Principal, AI Strategy & Governance

Optimum Communications

Plano, TX 75086

$155,509-$222,156/yr
New, Posted just now
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Lead Data Engineer

Coca-Cola Southwest Beverages

Dallas, TX 75240

Requires Travel

  • Bachelor's degree in computer science, software engineering, information technology, or a related field.
  • 3+ years experience in data engineering, including hands-on experience in building and maintaining data pipelines and data infrastructure.
  • 3+ years proven experience leading and managing a team of data engineers, including setting objectives, providing guidance, and assessing performance
  • A strong foundation in data engineering principles, including data integration, ETL (Extract, Transform, Load) processes, data warehousing, and data modeling.
  • Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL.
  • Proficiency with big data technologies and platforms, such as Hadoop, Spark, Apache Kafka, and distributed data processing frameworks.
  • Experience with various database systems, including relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  • Proficiency on cloud platforms like Azure, AWS, etc. for data storage and processing.
  • 30% travel projected
  • Ability to lead and manage a team of data engineers, including setting objectives, providing guidance, and assessing performance
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