Lead Data Engineer

Jobot

Ciudad Madero

Híbrido

MXN 1.697.000 - 2.461.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

Hybrid Remote
Office stipends
Catered Lunch
Great benefits
Career Growth

Descripción de la vacante

Jobot is seeking a highly motivated Lead Data Engineer to join our HealthTech team. You will lead data architecture design, develop scalable data models, and drive ETL improvements across our cloud-based stack.

Ideal candidates have 7+ years of data engineering experience, strong SQL and Python skills, and familiarity with AWS, Kafka, Spark, and Airflow. You will mentor junior engineers and collaborate with product, data science, and design teams to enable data-driven decisions.

Formación

  • 7+ years of experience as a Data Engineer.
  • Bachelor’s degree in CS, Stats, or related field.
  • Strong SQL and Python scripting.
  • Experience with Hadoop, Spark, Kafka.
  • Proficient with Airflow or Prefect.
  • AWS cloud services experience (EC2, Redshift, Kinesis).
  • Experience with streaming systems.
  • Proven project leadership.
  • Excellent communication and collaboration.

Responsabilidades

  • Lead scalable data model design and ETL implementations.
  • Develop and maintain data pipeline architecture.
  • Collaborate with data science to optimize systems.
  • Implement data governance and quality controls.
  • Provide leadership to junior engineers.
  • Partner with exec, product, design for data needs.
  • Ensure data architectures scale with business needs.
  • Drive cloud data platform optimization (AWS).
  • Champion best practices for data integrity.

Conocimientos

SQL
Python
ETL
Big Data
Airflow
Prefect
AWS
Kafka
Spark
Leadership
Communication

Educación

Bachelor's degree in CS/Stats
Advanced degree is a plus

Herramientas

Hadoop
Spark
Kafka
Airflow
Prefect
Airbyte
Fivetran
Snowflake
Kinesis
EC2
EMR
Redshift

Descripción del empleo

Job details

Exciting Lead Data Engineer Opportunity with Thriving HealthTech Organization!

Salary: $100,000 - $145,000 per year

This Jobot Job is hosted by: David DeCristofaro

A bit about us

We are an industry leader in the HealthTech space, but much more than that. We have built a customizable platform for health and wellness professionals to allow them provide the best care and treatment for their passions from start to finish. To keep it simple, our platform helps clinicians run and grow the practices with ease of service so they can concentrate on the most important thing... patients!

Why join us
  • Competitive Base Salary plus Bonus!
  • Best in class healthcare, dental, vision, benefits across the board!
  • Hybrid Remote!
  • Flexible Time Off in addition to 15 paid holidays!
  • Accelerated Career Growth!
  • Extremely talented engineering leadership team to partner with on your path to further your career!
  • Tackle challenging engineering tasks with state of the art new technology!
  • Home Office and Internet Stipends!
  • Catered Lunch!
Job Details

We are seeking a highly motivated and experienced Lead Data Engineer to join our dynamic and fast-paced team in the HealthTech industry. This is a fantastic opportunity for an individual with a strong technical background and leadership skills to contribute to our data strategy and drive our data initiatives forward. The successful candidate will be responsible for leading projects around the optimization of our data architecture, as well as developing and implementing data models and ETL processes. You will have the chance to work with a variety of technologies such as DBT, AWS, Airflow, Prefect, Airbyte, Fivetran, Kafka streaming, Snowflake, and Kinesis.

As a Lead Data Engineer, your responsibilities will include but are not limited to:

  • 1. Leading the design and implementation of scalable data models and ETL processes.
  • 2. Developing and maintaining an efficient data pipeline architecture.
  • 3. Collaborating with the data science team to build optimal data systems and pipeline architecture.
  • 4. Implementing data flow and collection for cross-functional teams.
  • 5. Working with stakeholders including the executive, product, data, and design teams to assist with data-related technical issues and support their data infrastructure needs.
  • 6. Designing and implementing data schemas and models that can scale and perform well.
  • 7. Leveraging your experience with cloud platforms, specifically AWS, to manage and optimize our data architecture.
  • 8. Providing leadership and mentoring to junior data engineers.
  • 9. Ensuring data quality and implementing data governance in collaboration with the data science team.
Qualifications
  • 1. A minimum of 7 years of experience in a Data Engineer role.
  • 2. Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. Advanced degree is a plus.
  • 3. Excellent SQL scripting skills and proficiency with Python.
  • 4. Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • 5. Experience with data pipeline and workflow management tools: Airflow, Prefect, etc.
  • 6. Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Kinesis, etc.
  • 7. Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • 8. Must have experience leading projects and teams.
  • 9. Strong analytic skills related to working with unstructured datasets.
  • 10. Excellent communication and leadership skills.
Equal Opportunity

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

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