Technical Lead - Data Engineering

Evolve Esolutions LLC

Las Vegas (NV)

On-site

USD 140,000 - 180,000

Full time

8 days ago
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Benefits offered by this job

Opportunity to lead impactful data**?

Job summary

Evolve Esolutions LLC in Las Vegas seeks an experienced Technical Lead to drive data engineering initiatives and lead a team of 5-6 engineers, mentoring growth, aligning work with business goals, and ensuring delivery quality across projects.

This role combines hands-on technical work with leadership, shaping architecture, scalable data pipelines in Airflow, real-time streaming via Kafka or Spark Streaming, and API integration.

Qualifications

  • 7–8+ years of hands-on data engineering experience.
  • Proficient with Airflow DAG development and orchestration.
  • Experience with Snowflake and SQL performance tuning.
  • Proven leadership of 3+ engineers in Agile/Scrum teams.

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.
  • Understand Snowflake architecture and optimization.
  • Integrate and maintain real-time streaming applications using 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.

Skills

Team leadership
Communication
Agile/Scrum
Problem solving
Hands-on data engineering

Tools

Apache Airflow
Snowflake
Apache Kafka
REST/SOAP APIs

Job description

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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