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Lead Data Engineer

PhotonLas Vegas, NV🇺🇸United StatesPosted Sep 22, 2026

Why This Role Stands Out

This Lead Data Engineer role offers a fantastic opportunity to shape data strategy, mentor a talented team, and drive innovation in a hybrid environment. If you are a seasoned data professional with robust experience in Snowflake, Airflow, and leading technical teams, you'll thrive in this dynamic and growth-oriented position. Apply today to make a significant impact at Photon!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Las Vegas, NV, United States
Posted
3 days ago
SOAPSQLScrumSnowflakeAgileAirflowApacheKafkaPythonREST

Job Description

Greetings From Photon,

We Hope you are good! We are hiring Lead Data Engineer to join our Digital Engineering team. 

About Us:

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. Our current focus and innovation in Digital Hyper expansion TM offers nearly limitless opportunities for career growth. For a brief 1-minute video about us, you can check out    

Role: Lead- Data Engineer

Location: Las Vegas, NV

(TRINO or PRESTO SQL EXP IS MANDATORY)

Description:

Technical Lead - Data Engineering

·       Apache Airflow, Apache Kafka / Spark Streaming

·       Understanding of Snowflake architecture.

·       Trino experience, Python

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

What We Offer

·       Opportunity to lead impactful data initiatives

·       Collaborative and innovative work environment

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