Data Quality Engineer - Remote Work | REF#299231

BairesDev

United States

A distancia

CLP 82.267.000 - 109.689.000

Jornada completa

Hace 13 días

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Ventajas ofrecidas por este puesto de trabajo

Remote work
USD salary option
Hardware provided
Flexible hours
Paid parental leave
Vacations & holidays
Mentorship & growth
Global team

Descripción de la vacante

BairesDev is seeking a Data Quality Engineer to ensure the reliability and integrity of data across our pipelines. You will lead automated testing and validation to detect anomalies and maintain high data standards.

You will design checks, deploy quality tooling, build anomaly detection, and collaborate with data engineers to define metrics while enabling visibility through reporting across the global data ecosystem.

Formación

  • 4+ years of experience in Data Quality Engineering, Data Engineering, or Data Analytics.
  • Proven expertise in building automated data quality checks and validation rules.
  • Hands-on experience with data testing tools such as Great Expectations, Deequ, or Soda.
  • Demonstrated ability to implement anomaly detection across distributed data pipelines.
  • Advanced proficiency in English.

Responsabilidades

  • Design and implement automated data quality checks and validation rules across various data pipelines.
  • Deploy and manage data quality tooling such as Great Expectations, Deequ, or Soda to monitor data health.
  • Develop anomaly detection models to identify and mitigate data drift or integrity issues.
  • Collaborate with data engineers and stakeholders to define data quality metrics and standards.
  • Build reporting systems to provide visibility into data quality and reliability across the data ecosystem.

Conocimientos

Data quality
Automated checks
Great Expectations
Deequ
Soda
Anomaly detection
English proficiency

Herramientas

Great Expectations
Deequ
Soda

Descripción del empleo

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Data Quality Engineer at BairesDev

As a Data Quality Engineer, you will ensure the reliability and integrity of data across the organization's pipelines. You will lead the implementation of automated testing and validation frameworks to detect anomalies and maintain high data standards.

What You’ll Do
  • Design and implement automated data quality checks and validation rules across various data pipelines.
  • Deploy and manage data quality tooling such as Great Expectations, Deequ, or Soda to monitor data health.
  • Develop anomaly detection models to identify and mitigate data drift or integrity issues.
  • Collaborate with data engineers and stakeholders to define data quality metrics and standards.
  • Build reporting systems to provide visibility into data quality and reliability across the data ecosystem.
What We Are Looking For
  • 4+ years of experience in Data Quality Engineering, Data Engineering, or Data Analytics.
  • Proven expertise in building automated data quality checks and validation rules.
  • Hands-on experience with data testing tools such as Great Expectations, Deequ, or Soda.
  • Demonstrated ability to implement anomaly detection across distributed data pipelines.
  • Advanced proficiency in English.
How we do make your work (and your life) easier:
  • 100% remote work (from anywhere).
  • Excellent compensation in USD or your local currency if preferred
  • Hardware and software setup for you to work from home.
  • Flexible hours: create your own schedule.
  • Paid parental leaves, vacations, and national holidays.
  • Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
  • Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!

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