Data Engineer (Python)

Data Engineer (Python, Spark, Snowflake)
La siguiente información tiene como objetivo proporcionar a los posibles candidatos una mejor comprensión de los requisitos para este puesto.
The Role
As a Data Engineer, you will build and scale health data pipelines that enable data discoverability, linkage, privacy, machine learning, and analytics across the organization. You will work with Python, Spark, and Snowflake to design efficient data models and reliable processing frameworks. This role provides the opportunity to shape foundational data infrastructure that supports regulatory‑grade health decisions at scale.
What You’ll Do
- Design and maintain scalable data pipelines using Python, Spark, and Airflow
- Ensure pipeline reliability, data quality, and observability
- Partner with Science and Product to define and prioritize data requirements
- Implement automated testing and optimize processing performance and cost
- Design and maintain data validation frameworks aligned with regulatory requirements
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience
- 2+ years of data engineering or software engineering experience for junior candidates;
5+ years for senior candidates
- Professional experience building data pipelines in Python
- Hands on experience with distributed data processing frameworks such as Apache Spark and orchestration with Airflow
- Experience working with cloud data warehouses such as Snowflake
- Experience integrating agentic code generation tools such as Claude Code or Codex into day to day software engineering practices
Preferred Qualifications
- Experience designing dimensional or analytics data models
- Experience working in AWS-based data environments
- Experience implementing data governance and quality frameworks
- Understanding of architectural considerations for on premises deployments, including networking and security constraints
- Knowledge of application security best practices (vulnerability management, security posture management, and risk assessment) and compliance frameworks (HIPAA, GDPR, HITRUST)
Perks of joining Datavant in Barcelona
- Competitive and equitable salary
- Hybrid work model, with two days per week based in our Gràcia office
- Daily in-office lunch stipend and access to a fully stocked kitchen
- Comprehensive private health insurance, including out-of-network reimbursement options
- 25 days of annual paid leave
- Six-week “Work from Anywhere” policy
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. xhfqzwm In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
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