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Lead Data Engineer - Databricks / PySpark

The Planet Group

RemoteFull timeMid levelPosted today
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About the role

Duration - 6 months Contract to Hire

Location - 3 days hybrid in Arlington, TX - looking for local candidates only

Rate - 75-85/hour W2 only

USC/GC/H4EAD and GC EAD candidates only - client will not sponsor/transfer H1B - no 3rd party candidates

Lead Software Engineer - Pyspark/Python / Databricks / Angular and Azure Must have skills

WILL DO 50/50 DEV AND ENGINEERING WORK. AZURE. NO DIRECT REPORTS...TEAM OF 5-7 TO MENTOR, PUT BEST PRACTICES IN PLACE.

WILL WORK WITH PYSPARK, DATABRICKS, PYTHYON, ANGULAR

Are you a passionate technology leader ready to shape the future of data-driven solutions? Join us as a Lead Software Engineer and spearhead the development of high-impact, scalable software platforms that deliver actionable insights and drive strategic decision-making. Located in Irving and collaborating closely with a talented team, you will play a pivotal role in architecting innovative AI-powered data solutions that elevate our business capabilities

Required Skills:

  • Bachelor’s degree or equivalent experience
  • 8+ years of software development experience
  • 2+ years in a leadership or mentoring role
  • Proficiency in Python/PySpark and experience with Angular
  • Strong experience with Azure cloud platform
  • Expertise in designing microservices, distributed systems, and scalable architectures
  • Hands-on knowledge of CI/CD, testing, application security, and data engineering frameworks like Spark and Databricks
  • Excellent problem-solving, analytical, and troubleshooting skills
  • Effective communication skills, capable of engaging both technical and non-technical stakeholders
  • Experience working in Agile, collaborative environments

Nice to Have Skills:

  • Experience with streaming technologies and real-time data processing
  • Familiarity with data modeling, warehousing, and lakehouse architectures
  • Exposure to AI/ML workflows and data-driven applications
  • Background in developing and managing large-scale data pipelines and platforms

#TECH

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