Data Engineer

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Lifted

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

🏥 Healthcare

👥 HR Tech

📋 Compliance

💰 $6.2M Series A - Lifted on 2021-06

Healthcare • HR Tech • Compliance

Lifted is a platform for health and social care providers that streamlines recruiting, onboarding, sponsorship and ongoing compliance. The product offers access to pre-screened care workers, automated background and right-to-work checks, digital training and audit-ready records, Certificate of Sponsorship and visa application support, and real-time compliance dashboards and alerts. It is built to help care employers hire, sponsor and stay audit-ready with embedded immigration and compliance workflows.

📋 Description

• Design, build, and maintain reliable end-to-end ELT and ETL pipelines in cloud environments • Build scalable datasets supporting cloud cost visibility, attribution, usage analysis, and performance insights • Design and implement data models and ingestion frameworks for large-scale telemetry and usage data • Develop automation and tooling enabling cost-aware decision-making across Product, Engineering, and Finance teams • Optimize data pipelines and systems for performance, reliability, and cost efficiency • Perform query tuning and improve storage and compute strategies • Build and maintain integrations with REST APIs and other data sources • Implement and support CI/CD processes and Infrastructure as Code • Ensure data quality, validation, auditability, and consistency across end-to-end data workflows • Monitor, troubleshoot, and resolve production pipeline failures, data inconsistencies, and performance issues • Partner with Engineering and Finance stakeholders on cloud cost optimization and usage-based insights

🎯 Requirements

• Proven experience building and maintaining end-to-end ELT or ETL pipelines in cloud environments • Strong SQL and Python skills • Experience with dbt, Airflow, or Dagster • Hands-on AWS data ecosystem experience, including AWS Glue, Amazon Athena, and Amazon Aurora • Experience with Snowflake • Strong data modeling experience • Experience processing data at scale • Experience with CI/CD and version control • Hands-on Infrastructure as Code experience using Terraform • Experience building or maintaining REST API integrations • Demonstrated ability to optimize data pipelines for performance and cost • Strong analytical and troubleshooting skills • Experience with data validation, auditing, and production pipeline support • Enterprise experience strongly preferred • Scala experience preferred as a nice-to-have • FinOps Certified Practitioner or FinOps Certified Engineer certification is a nice-to-have • Experience with cloud cost optimization, tagging strategies, or cost-monitoring systems is a nice-to-have • Experience working across AWS and GCP is a nice-to-have • Experience with Datadog is a nice-to-have • Background in data platform engineering or shared infrastructure engineering is a nice-to-have • Candidates must be located in LATAM • Candidates must be available to work a U.S.-based EST or CST schedule

🏖️ Benefits

• Remote work opportunity • Full-time allocation of approximately 40 hours per week • Contract expected to continue through March 31, 2027