Lead Data Engineer - Hybrid Remote, Scale Data Pipelines

Jobot; Ciudad Madero; Hybrid; MXN 1,835,000 - 2,661,000; Full time

Benefits offered by this job

Hybrid Remote

Home Office Stipend

Internet Stipend

Catered Lunch

Job summary

Jobot is seeking a Lead Data Engineer to drive data architecture, ETL and modeling in a HealthTech focused environment. You will lead projects, collaborate with data science, and mentor a growing team while leveraging AWS, Kafka, and modern data tooling.

The role offers a hybrid remote setup with competitive base salary, bonus potential, and comprehensive benefits. Strong leadership and communication are essential to succeed.

Qualifications

• 7+ years in a Data Engineer role.
• Bachelor's degree in a quantitative field; advanced degree a plus.
• Strong SQL and Python skills.
• Experience with big data tools and data pipelines.

Responsibilities

• Lead design and implementation of scalable data models and ETL processes.
• Develop and maintain efficient data pipeline architecture.
• Collaborate with data science to build scalable data systems.
• Implement data governance and ensure data quality.
• Mentor junior data engineers and work with stakeholders.

Skills

SQL

Python

Leadership

Data Modeling

Data Architecture

Communication

Analytics

Education

Bachelor's degree in CS/Statistics/Info Systems

Advanced degree a plus

Tools

Hadoop

Spark

Kafka

Airflow

Prefect

Airbyte

Fivetran

Kinesis

Storm

Spark-Streaming

AWS (EC2/EMR/RDS/Redshift/Kinesis)

Job description

Jobot is seeking a Lead Data Engineer to drive data architecture, ETL and modeling in a HealthTech focused environment. You will lead projects, collaborate with data science, and mentor a growing team while leveraging AWS, Kafka, and modern data tooling.

The role offers a hybrid remote setup with competitive base salary, bonus potential, and comprehensive benefits. Strong leadership and communication are essential to succeed.