Job Title: Cloud Data Engineer

Company Name: Track 25 LLC

Job Url: https://www.simplyhired.com/job/UVuVXze29JpPDZejoO1v9c9oMesDduiqlnLxCinMqHdQdgPjr9IrBQ

Job Description: Cloud Data Engineer
Track 25 LLC
Remote

Job Details
Full-time | Contract
$65 - $80 an hour
3 days ago
Qualifications
Data engineering
Looker
Version control
Stakeholder engagement
Power BI
Databricks
Data visualization software proficiency
Data Integration (Data management)
Azure
Data lake
Continuous Delivery (CD) implementation
Cloud data warehouses
Automation
5 years
Big data
Spark
Scalable systems
Tableau
Data governance
Snowflake
SQL
IT experience within healthcare
Cloud development
Implementing APIs
APIs
ETL
Scalability
Technical troubleshooting support
Kafka
Data validation
Redshift
Senior level
Cross-functional collaboration
Data engineering experience (6–10 years)
Python
Database software proficiency
Full Job Description
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