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

• Build and maintain production data pipelines across Snowflake, cloud data platforms, and Salesforce-related data environments • Develop and optimize ETL/ELT workflows for transforming and integrating business data • Model and maintain Go-to-Market data assets, including parent-company relationships, advertiser identity, lead enrichment, and revenue data • Write and optimize SQL queries for reporting, analytics, and operational use cases • Use Python to transform, validate, and automate data-processing workflows • Support data quality, validation, schema management, and troubleshooting across data marts • Identify and resolve data inconsistencies across source systems and downstream datasets • Collaborate with engineers and product managers on technical deliverables • Participate in Jira-based planning, tracking, and delivery workflows

🎯 Requirements

• Strong hands-on SQL experience, including complex queries and query optimization • Strong production experience with Snowflake • Strong Python scripting experience for data transformation and processing • Experience developing and maintaining ETL or ELT data pipelines • Experience with dbt, Airflow, or a comparable transformation or orchestration platform • Hands-on experience with a GCP or AWS cloud data platform • Familiarity with CRM data structures, including leads, contacts, accounts, and opportunities • Experience supporting data quality, validation, or schema-management activities • Ability to collaborate effectively with engineering and product stakeholders • Experience writing Salesforce SOQL queries preferred • Experience with Salesforce Data Cloud preferred • Knowledge of Salesforce data models preferred • Experience with ZoomInfo or Dun & Bradstreet data enrichment preferred • Experience supporting Go-to-Market or revenue analytics preferred • Experience with lead enrichment, identity resolution, campaign segmentation, or sales operations data preferred • Required tools and platforms: SQL, Snowflake, Python, dbt, Airflow, or a similar ETL/ELT platform, GCP or AWS, CRM data environments, and Jira • Applicants must be located in LATAM • Required working hours are 9:00 a.m. to 5:00 p.m. U.S. Central Time

🏖️ Benefits

• Remote work arrangement • Full-time commitment of 40 hours per week • Contract engagement through March 31, 2027