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# Salesforce Developer

- **Company:** CareerCircle
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $114,982.0 - $134,992.0
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Apache HTTP Server, Automation of Tests, Microsoft Azure, Cloud Computing, Software Quality, Information Engineering, Extract Transform Load (ETL), Data Transformation, JavaScript Libraries, Python (Programming Language), PostgreSQL, Machine Learning, Software Tools, Salesforce.Com, Software Engineering, SQLite, Systems Architecture, Parquet, Data Processing, Data Storage Management, Data Storage Technologies, Test-Driven Development (TDD), ReactJS, Multi-Agent Systems, Apache Spark, Rate Limiting, Data Lakes, Tools for Reporting, Restful APIs, Splunk, Data Pipelines, Databricks, Microservices
- **Published:** September 3, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/tx/dallas/4a64576c-128a-4f8f-a30f-6f4077301f3b

## 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., Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
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