[Hiring] Data Engineer @Zimmer Colombia

Role Description

The Data Engineer designs, develops, and maintains reliable data pipelines, transformations, and models that support analytics, reporting, and operational workflows. This is a hands-on individual-contributor role that combines strong SQL and Python development with practical data-engineering experience in cloud environments.

The role works closely with architects, analysts, and business stakeholders to translate requirements into secure, scalable, and high-quality data solutions. The Data Engineer is expected to own assigned deliverables, communicate clearly, bring structure to day-to-day technical work, and contribute to timely team outcomes.

Principal Duties and 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.

Qualifications

• Strong SQL and Python capabilities, with an ability to apply them to practical data-engineering problems.
• 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 an ability to explain 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.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, Analytics, or a related technical field required; equivalent combination of education and relevant experience may be considered.
• 5+ years of experience designing and developing SQL-based pipelines, data transformations, and data models 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 required.
• Experience with orchestration platforms such as Airflow, Dagster preferred.
• Familiarity with APIs, common data formats (XML, Parquet, JSON), cloud storage, data governance, and security practices preferred.
• Experience in Agile delivery environments required; exposure to CDC, streaming ingestion, or AI/ML workflows is a plus.
• High proficiency in English (verbal and written).

Physical Requirements

• Travel Expectations: Up to 5%