Lead Data Engineer/Engineering Director

Svitla Systems, Inc.; Argentina; Híbrido; ARS 1.200.000 - 2.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private medical insurance

Flexible workspace (remote/on-site)

Performance appraisals

Personalized learning program

Bonuses for recommendations

Descripción de la vacante

Svitla Systems Inc. is seeking a Lead Data Engineer/Engineering Director for a full-time role in Argentina. You will lead data platform development, design scalable data workflows, and guide production data operations in a fast-moving SaaS health-tech analytics environment.

You will collaborate with cross-functional teams to ensure data quality and reliable delivery across cloud platforms. The role requires strengths in architecture review, hands-on execution, and leadership, with opportunities

Formación

• 8+ years of hands-on experience in data engineering, data platform engineering, analytics engineering, or related technical roles.

Conocimientos

SQL

Python

Data modeling

Data pipeline development

Data transformation

Snowflake

dbt

Airflow

AWS

Data quality

Monitoring

Production support

Architecture review

Delivery management

Cross-functional communication

Herramientas

Snowflake

dbt

Airflow

AWS

Python

SQL

Tableau

Descripción del empleo

Svitla Systems Inc. is looking for a Lead Data Engineer/Engineering Director for a full-time position (40 hours per week) in Argentina. Our client is a venture-backed SaaS health-tech analytics company. The company combines medicine, business, and technology. Doctor-driven at heart, they are dedicated to helping individuals find affordable medicine. Clinicians founded the company and continue to be guided by the insights from a board of leading doctors and pharmacists. They use technology to empower and educate payers and individuals. The solutions offer insights to employers, consultants, and health plans, delivering significant and immediate savings.

Requirements

• 8+ years of hands-on experience in data engineering, data platform engineering, analytics engineering, or related technical roles.
• Strong hands-on experience with SQL, Python, data modeling, data pipeline development, and data transformation.
• Experience building, operating, debugging, and supporting production data workflows in cloud-based environments.
• Experience with modern data platforms and orchestration tools, ideally Snowflake, dbt, Airflow, AWS, or comparable technologies.
• Strong understanding of data quality, validation, reconciliation, lineage, monitoring, alerting, and production support.
• Ability to review architecture, data models, code, workflow design, and production-readiness decisions with credibility.
• Ability to move between hands-on execution, technical leadership, cross-functional communication, and practical delivery management.
• Experience working in a lean, fast-moving company where leaders remain close to the work.
• Strong judgment around when to build, when to simplify, when to document, when to escape, and when to push back on avoidable complexity.

Preferred Requirements

• Experience in healthcare, pharmacy, payer, PBM, benefits, life sciences, financial services, or another regulated data environment.
• Experience with claims, eligibility, member, plan, pricing, utilization, engagement, attribution, or savings data.
• Direct experience with Snowflake, dbt, Airflow, AWS, Python, SQL, Tableau, or similar technologies.
• Experience designing and supporting data pipelines for claims, eligibility, member, plan, pricing, pharmacy, recommendation, utilization, engagement, attribution, or savings data.
• Experience with DataOps practices, data contract management, schema evolution, workflow orchestration, automated validation, and production-grade data reliability.
• Experience supporting SaaS platforms, client-facing data products, enterprise integrations, reporting platforms, and operational data workflows.
• Experience working with offshore, nearshore, contractor, or partner-based engineering teams.
• Familiarity with HIPAA, SOC 2, data privacy, secure access, auditability, and compliance-aware engineering practices.
• Experience improving documentation, ownership models, support models, and knowledge transfer in small or scaling engineering teams

WE OFFER

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Comprehensive private medical insurance.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote, our welcoming office or local coworking.
• Bonuses for recommendations of new employees.
• Bonuses for article writing, public talks, other activities.
• 15 vacation days, 10 national holidays, 10 sick leaves.
• Personalized learning program tailored to your interests and skill development.
• Free tech webinars and meetups organized by Svitla.
• Fun corporate online\\offline celebrations and activities.
• Well-established remote culture.
• Awesome team, friendly and supportive community!