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PostgreSQL DBA Python

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-03-10
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: PostgreSQL DBA with Python+AI

Our client, Hirextra, is seeking the following.

Role

Postgre

SQL DBA with Python+AI

Location

Phoenix AZ

Duration

Long Term

Job Description

Looking for a skilled Database Administrator (Postgre

SQL/Oracle) with strong Python development expertise and hands‑on experience in Generative AI solutions. The ideal candidate will manage and optimize enterprise databases while developing scalable Python‑based applications and AI‑driven solutions.

Key Responsibilities
  • Administer, monitor, and optimize Postgre

    SQL and/or Oracle databases (performance tuning, backup/recovery, replication, security).
  • Design and implement database schemas, indexing strategies, and high‑availability architectures.
  • Develop and maintain Python applications, APIs, and automation scripts.
  • Integrate Generative AI models (LLMs) into enterprise workflows and applications.
  • Build data pipelines for AI/ML workloads, including data preprocessing and vector storage solutions.
  • Collaborate with cross‑functional teams to design scalable, secure, and performant systems.
  • Ensure database compliance, security standards, and operational best practices.
Required Skills
  • Strong experience in Postgre

    SQL and/or Oracle database administration.
  • Experience with vector databases (e.g. postgres pgvector).
  • Proficiency in Python (e.g. FastAPI/Flask, Pandas).
  • Experience with Generative AI frameworks (e.g. OpenAI APIs, Lang Chain).
  • Knowledge of database performance tuning, query optimization, indexing, and partitioning.
  • Experience with Linux environments and scripting.
  • Familiarity with cloud platforms (AWS/Google Cloud Platform).
Preferred Qualifications
  • Exposure to Dev Ops practices and CI/CD pipelines.
  • Understanding of data governance and security best practices.
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