AI Data Engineer/Analyst/Architect/AI Data Scientist (Strong AI)

Hybrid in Manor, TX, US • Posted 5 hours ago • Updated 5 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI Data analyst
  • AI data engineer
  • AI data architect
  • AI Data Scientist

Summary

Hello,

 

Please find the below requirement and share the sutiable profiles asap.

 

Job Description

We are looking for a data engineer with experience in the data analytics space. What we need to see is that a candidate has done data engineering for analytics teams — the full scope of what data engineering requires — and that the consumers of their work were data analysts or data scientists.

Role: AI Data Analyst/ AI Data Engineer/ AI Data Architect / AI Data Scientist
Location: Austin, TX or Cupertino, CA (Day 1 onsite & Hybrid)
Duration: Long term

 

Core Professional Competencies

  1. Communication: Clearly communicates technical work to diverse audiences, verbally and in writing. Participates in peer reviews and team discussions with clarity and purpose.
  2. Documentation: Maintains clear, structured documentation of project logic, decisions, and maintenance. Contributes to team standards for reproducibility and transparency.
  3. Collaboration: Works effectively with cross-functional partners. Values shared ownership and ensures continuity through knowledge sharing.
  4. Initiative: Comfortable in ambiguity; proactively identifies issues and opportunities. Demonstrates curiosity and critical thinking.
  5. Attention to Detail: Delivers high-quality, consistent code and documentation that supports long-term maintainability and trust in data systems.

 

Data Engineering Expertise (5+ years)

  1. Experienced in building and maintaining data pipelines (ETL/ELT)
  2. Proficient with orchestration tools (e.g., Airflow, dbt, Prefect)
  3. Comfortable working with cloud platforms (e.g., AWS) and tools like Snowflake
  4. Familiar with data lake and warehouse architecture (e.g., S3 + Athena, Delta Lake)
  5. Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark)

 

Srini

vasuatsrinavdotnet

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10114049
  • Position Id: 9061086
  • Posted 5 hours ago
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VV

Vasu Vemula

Recruiter @ Srinav Inc.
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