Lead Data Engineer - Las Vegas, NV
At a glance
Senior Data Engineering role at Fa Ertb Saasfaprod1. United States · $33,000–$118,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Lead and coach a team of data engineers, supporting their technical development and collaboration
- Build scalable data pipelines with Airflow, using DAGs to coordinate workflows
- Connect and maintain real-time streaming systems with Kafka and Spark Streaming
- Develop APIs that link different systems, then guide technical choices and working standards
- Review code and apply quality checks across the engineering work
What you bring
- At least seven years of practical data engineering or related work
- Strong working knowledge of Airflow, Snowflake, advanced SQL, Kafka and REST or SOAP APIs
- At least three years guiding technical teams is preferred
- You bring experience with Agile or Scrum and strong problem-solving and communication skills
Who this fits
This is a hands-on technical lead role that also involves managing and mentoring a team of five or six engineers. The stated compensation range is USD 33,000 to USD 118,000 per year.
From the employer
Who are we?
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. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o.
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Technical Lead - Data Engineering
- Position Overview
- We are seeking an experienced Technical Lead to drive our data engineering initiatives and lead a team of 5-6 engineers.
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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
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Ensure code quality through reviews and implementation
Required Qualifications
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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
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Experience with Agile/Scrum methodologies
- What We Offer
- Opportunity to lead impactful data initiatives
- Collaborative and innovative work environment
Compensation, Benefits and Duration
Minimum Compensation: USD 33,000
Maximum Compensation: USD 118,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
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