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Technical Lead - Data Engineering

ClientServer Technology Solutions LLCLas Vegas, NV🇺🇸United StatesPosted 3 Sept 2026

Why This Role Stands Out

This Technical Lead role offers a fantastic opportunity to shape data engineering initiatives and mentor a talented team, with the flexibility of a hybrid work model. You'll thrive here if you have strong leadership skills and expertise in designing scalable data pipelines with technologies like Apache Airflow, Snowflake, Kafka, and Spark. Apply now to advance your career with a reputable company!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Las Vegas, NV, United States
Posted
18 hours ago
SOAPSQLScrumSnowflakeAgileAirflowApacheKafkaREST

Job Description

Position Overview

We are seeking an experienced Technical Lead to drive our data engineering initiatives and lead a team of 5-6 engineers.

This role requires a blend of hands-on technical expertise and leadership capabilities.

 

Key Responsibilities

  • Lead and mentor a team of 5-6 data engineers, fostering technical growth and collaboration
  • Design and implement scalable data pipelines using Apache Airflow ( experience with Airflow 3 is preferred).
  • Understanding of Snowflake architecture.
  • Integrate and maintain real-time streaming applications using Apache Kafka / Spark Streaming
  • Build and integrate APIs across multiple systems and platforms
  • Drive technical decision-making and establish best practices
  • Ensure code quality through reviews and implementation

 

Required Qualifications

  • 7-8+ years of hands-on experience in data engineering or related fields
  • Strong proficiency in:
    • Apache Airflow (DAG development, workflow orchestration)
    • Snowflake
    • Advanced SQL (complex queries, performance tuning)
    • Apache Kafka (streaming, event-driven architectures)
    • API development and integration (REST/SOAP)
  • Proven experience leading technical teams (3+ years preferred)
  • Strong problem-solving and communication skills
  • Experience with Agile/Scrum methodologies

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