Data Engineer, Product
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Engineer, Product (SQL/Python/dbt): Building reliable data pipelines, governed analytical models, and self-service BI foundations for a digital healthcare product with an accent on data accuracy, metric consistency, and stakeholder enablement. Focus on designing scalable ingestion and orchestration workflows, analyzing KPIs and experiments, and building AI-powered natural-language analytics tools.
Location: Remote within LATAM
Company
is a healthcare technology startup providing telemedicine, personalized nutrition, medication delivery, and insurance solutions focused on obesity care and wellbeing.
What you will do
- Design, build, and maintain reliable ETL/ELT pipelines and data ingestion workflows.
- Own dbt models, datasets, and the semantic layer supporting trusted business metrics.
- Implement testing, observability, alerting, and tooling improvements across analytics pipelines.
- Partner with analysts and stakeholders to define requirements and deliver scalable data solutions.
- Perform KPI, release-performance, segmentation, and A/B test analysis.
- Use AI-assisted coding workflows and help build natural-language querying tools for non-technical stakeholders.
Requirements
- 3–5+ years of experience as a data engineer, analytics engineer, or in a similar role.
- Strong SQL, Python, dbt, and modern data-modeling skills.
- Experience with large-scale data systems such as BigQuery or Snowflake.
- Familiarity with CI/CD, Git-based workflows, automated testing, and BI tools such as Looker, Tableau, or Power BI.
- Knowledge of statistics, experimentation, segmentation, and metric definition.
- Strong ownership, communication, stakeholder-partnering, adaptability, and experience using AI to accelerate development or analytics.
Nice to have
- Experience with GCP and Cloud Composer or Airflow DAGs.
- LookML, semantic-layer, or metric-governance experience.
- Subscription analytics, including retention, rebill/refill, and LTV.
- Cloud-native pipelines, Cloud Functions, GCP monitoring, and data-job alerting.
- Healthcare, telehealth, MSO, or startup experience.
Culture & Benefits
- Fully remote work policy with autonomy, accountability, and results-oriented collaboration.
- Unlimited PTO and 13 company holidays with floating-holiday flexibility.
- Paid parental leave and additional benefits may vary by country and employment type.
- Company equipment, including a laptop and software, is provided.
- Startup environment with opportunities to make a tangible impact.
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