Sr. Data Engineer

Tech Mahindra; Las Vegas (NV); On-site; USD 80,000 - 90,000; Full time

Benefits offered by this job

Medical insurance

Vision and dental coverage

Paid time off

Job summary

Tech Mahindra in Las Vegas seeks an experienced Data Engineering Lead to drive our data initiatives and lead a team of 5-6 engineers. The role blends hands-on technical work with leadership, guiding design and implementation of scalable data pipelines.

Required 7-8+ years in data engineering, strong skills in Airflow, Snowflake, SQL, Kafka, and API integration, plus Agile/Scrum experience. Competitive compensation and benefits offered.

Qualifications

• Bachelor’s degree or higher required.
• 7-8+ years of hands-on data engineering experience.
• Experience leading technical teams (3+ years preferred).

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).
• Understand 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.

Skills

Leadership

Team management

Communication

Problem-solving

Agile/Scrum

Education

Bachelor's degree or higher

Tools

Apache Airflow

Snowflake

SQL

Apache Kafka

REST/SOAP API

Job description

A Bachelor’s or Higher Degree is the minimum entry required for the position

We are seeking an experienced candidate 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+ yearsof 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

The pay range for this role is$80k - $90kper annum including any bonuses or variable pay.

• Tech Mahindra also offers benefits like medical, vision, dental, life, disability insuranceand paid time off (including holidays, parental leave, and sick leave, as required by law).

The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.

Thanks & Regards

Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator [e-mail] .