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# Salesforce Developer

- **Company:** CareerCircle
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $114,982.0 - $134,992.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Apache HTTP Server, Information Engineering, Extract Transform Load (ETL), Data Transformation, Python (Programming Language), PostgreSQL, SQLite, Parquet, Data Processing, Data Storage Management, Data Storage Technologies, Apache Spark, Data Lakes, Data Pipelines, Databricks
- **Published:** September 3, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ga/atlanta/f7e13219-e40b-4b06-b7e4-d155f1598c57

## About the Role

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

Pipelines
Operations
Resilience
PostgreSQL
Data Storage
Apache Parquet
Apache Iceberg
Data Processing
Data Engineering
Business Valuation
Storage Management
Data Transformation
Full Stack Development
Artificial Intelligence
Business Transformation
Extract Transform Load (ETL)
Python (Programming Language), Our client is searching for a Data Engineer for a remote temp-to-perm role., * Pipeline Design: Construct resilient data processing pipelines in Python using Medallion

 * architecture principles (Bronze/Silver/Gold) to transform raw data into analytics-ready assets.
 * Open Storage Management: Standardize data storage using open formats including Parquet,
 * Apache Iceberg, and Delta Lake to ensure cross-cloud compatibility.
 * Embedded Analytics: Leverage DuckDB integrated with Python for fast, lightweight, and
 * performant localized data processing within ETL workflows.
 * Database Operations: Architect and optimize production PostgreSQL schemas while utilizing
 * SQLite for embedded or lightweight localized storage needs.
 * Distributed Compute: Scale heavy ETL, data transformation, and analytics workloads using
 * Databricks or Apache Spark.


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