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Python Lead Developer

Job in San Antonio, Bexar County, Texas, 78208, USA
Listing for: Cynet Systems
Seasonal/Temporary position
Listed on 2026-07-08
Job specializations:
  • Software Development
    Python, Data Engineering, SQL Developer
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

We are looking for Python Lead Developer for our client in San Antonio TX
.

Job Title:
Python Lead Developer

Job Location:
San Antonio TX

Job Type:
Contract

Job Overview Requirements / Must Have
  • Strong hands‑on expertise in Python (Primary skill) for data engineering, including scripting, data processing, and pipeline development.
  • Experience with DBT (Secondary focus) for data transformation and modeling.
  • Solid understanding of ELT concepts, data pipeline architecture, and workflow orchestration.
  • Strong experience with SQL and complex data transformations.
  • Hands‑on experience with Snowflake (data modeling, transformations, performance tuning).
  • Experience integrating with ETL/ELT tools (Informatica, Data Stage, or similar).
  • Familiarity with data pipeline frameworks and orchestration tools.
  • Experience with CLI‑based tools and Python SDKs for automation and migration.
Responsibilities
  • Design, develop, and maintain scalable data pipelines using Python for ingestion, transformation, and processing.
  • Implement and manage ELT workflows using DBT, ensuring modular, reusable, and maintainable transformations.
  • Build and optimize Snowflake data models, views, and transformations for analytics consumption.
  • Develop frameworks for handling structured and unstructured data ingestion.
  • Ensure data quality, validation, and consistency across multiple data systems.
  • Automate data workflows using Python‑based utilities, SDKs, and CLI tools.
  • Perform monitoring, troubleshooting, and performance tuning of pipelines.
Nice to Have
  • Exposure to cloud platforms (AWS/Azure/Google Cloud Platform) and modern data ecosystems.
  • Experience with advanced DBT practices (macros, testing, documentation).
  • Experience in Insurance domain, especially Pricing / Rating / Analytics datasets.
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