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Zimmer Biomet Holdings

Develops joint replacement, robotics, smart implants

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBogotá, Bogota, ColombiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Data Engineering, Analytics, or a related technical field is required; an equivalent combination of education and relevant experience may be considered.
  • At least 5 years of experience designing and developing SQL-based pipelines, data transformations, and data models is required.
  • Hands-on experience with Python for ETL/ELT development and automation.
  • Experience with Snowflake or another cloud data warehouse, and familiarity with cloud data-engineering practices, is required.
  • Experience in Agile delivery environments is required.
  • High proficiency in spoken and written English.
  • Technologies required include SQL and data modeling; Snowflake or a comparable cloud data warehouse; Python; dbt or comparable SQL-based transformation frameworks; Airflow, Dagster, or similar orchestration tools; Git-based version control and CI/CD tools such as GitHub; ETL/ELT and ingestion tools such as Fivetran, Airbyte, Apache NiFi, or comparable technologies; and cloud services and storage in Azure, AWS, GCP, or equivalent environments.
  • Ability to work effectively with cross-functional and Agile teams.
  • Strong analytical, problem-solving, organizational, and critical-thinking skills.
  • Clear written and verbal communication skills, including explaining technical information to non-technical partners.
  • Ability to organize ambiguous work, identify dependencies, and move assigned technical deliverables forward.
  • Attention to detail in data validation, documentation, monitoring, and operational readiness.
  • Demonstrated ownership, adaptability, and willingness to learn and apply new technologies.
  • Ability to collaborate across teams and geographies.

Responsibilities

  • Design, build, test, and maintain SQL-based data pipelines, transformations, and data models in Snowflake and other approved cloud data environments.
  • Develop Python-based data processing, automation, and integration workflows.
  • Ingest and process structured and semi-structured data from databases, APIs, files, SaaS applications, and cloud storage.
  • Implement ETL/ELT processes using SQL, Python, dbt or equivalent transformation frameworks, Snowflake capabilities, and orchestration tools such as Dagster or similar.
  • Participate actively in Agile ceremonies and deliver assigned sprint commitments with quality and urgency.
  • Use version control and established CI/CD practices to develop, review, test, and deploy data solutions.
  • Apply data-quality, data-governance, security, and privacy practices to the design and operation of data products.
  • Troubleshoot data-pipeline issues, investigate root causes, and make performance and reliability improvements.
  • Maintain clear technical documentation, monitoring, alerting, and operational procedures for supported pipelines.
  • Collaborate with cross-functional partners to clarify requirements, communicate progress and risks, and deliver fit-for-purpose technical solutions.
  • Design, develop, and maintain reliable data pipelines, transformations, and models supporting analytics, reporting, and operational workflows.
  • Work closely with architects, analysts, and business stakeholders to translate requirements into secure, scalable, and high-quality data solutions.
  • Own assigned deliverables, communicate clearly, bring structure to day-to-day technical work, and contribute to timely team outcomes.

Desired Qualifications

  • Experience with orchestration platforms such as Airflow or Dagster.
  • Familiarity with APIs, common data formats such as XML, Parquet, and JSON, cloud storage, data governance, and security practices.
  • Exposure to CDC, streaming ingestion, or AI/ML workflows.

About the Company

Zimmer Biomet Holdings

Develops joint replacement, robotics, smart implants

Zimmer Biomet manufactures and markets musculoskeletal medical devices and instruments for joint replacement, surgical trauma, and sports medicine. Its products include joint implants, surgical tools, and smart implants, often supported by robotic-assisted surgery systems. The company develops, produces, and sells these devices and provides services such as medical education and training to healthcare professionals to support procedures and outcomes. Compared with competitors, Zimmer Biomet benefits from a long history (over 90 years), a global footprint, and a focus on integrated solutions that combine advanced implants with robotics technology and education partnerships. Its goal is to advance patient care by delivering reliable devices, technologies, and professional training that improve surgical outcomes and collaboration with healthcare providers.

Company size
10,001+
Company stage
IPO
Headquarters
Warsaw, IN
Founded
1927

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