Cloud Data Engineer – Data Aggregation Platform
Location: Remote
Employment Type: Contract - 9+ months
Experience Level: Senior (7+ years preferred)
Job Overview
We are seeking a skilled Cloud Data Engineer to design, develop, and maintain scalable data pipelines for a large cloud-based data aggregation platform in the healthcare vertical. This role will focus on ingesting, transforming, and integrating data from multiple systems to support analytics, reporting, and operational applications.
The ideal candidate has strong experience building data pipelines in cloud environments, working with SQL and Python, and developing reliable data solutions that support enterprise-scale data platforms.
You will collaborate closely with data architects, analysts, software developers, and business stakeholders to deliver high-quality, governed datasets that power reporting, anall
Required Qualifications
- 5+ years of experience in data engineering or data platform development.
- Strong experience with SQL and relational databases.
- Proficiency in Python for data processing and automation.
- Experience building ETL/ELT pipelines and working with large datasets.
- Experience working with cloud data platforms such as:
- Strong working knowledge with Azure and/or AWS
- Familiarity with data warehouse and data lake architectures.
- Experience integrating data from APIs, applications, and third-party systems.
- Experience with version control and CI/CD practices.
- Strong problem-solving and troubleshooting skills.
Preferred Qualifications
Experience with modern data platforms such as:
- Databricks
- Snowflake
- Azure Synapse
- Amazon Redshift
- Experience with big data processing frameworks such as Spark or PySpark.
- Experience with streaming data technologies (Kafka, Event Hub, Kinesis).
- Familiarity with data governance and data quality frameworks.
- Experience supporting analytics tools such as Power BI, Tableau, or Looker.
- Healthcare experience
Key Technical Skills
- SQL
- Python
- ETL / ELT development
- Cloud data platforms (Azure, AWS, or GCP)
- Data warehouse / data lake environments
- API data integration
- Data validation and reconciliation
What Success Looks Like in This Role
- Reliable, scalable data pipelines supporting enterprise analytics
- Accurate and validated aggregated datasets
- Efficient data processing and optimized queries
- Strong collaboration across engineering, analytics, and business teams
Pay: $65.00 - $80.00 per hour
Experience:
- Cloud development: 7 years (Required)
- SQL: 7 years (Required)
- Python: 7 years (Required)
- Data Engineering: 7 years (Required)
Work Location: Remote
