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# Salesforce Developer

- **Company:** CareerCircle
- **Location:** Duluth, GA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,600.0 - $176,800.0
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Apache HTTP Server, Application Frameworks, Automation of Tests, Microsoft Azure, BigQuery, Cloud Engineering, Code Review, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, Github, Apache Hive, Python (Programming Language), Metadata, SQL Azure, Performance Tuning, Protocol Independent Multicast, Power BI, OpenAI, Azure Data Lake, Salesforce.Com, SAP (Applications), SQL Databases, Data Streaming, Azure Service Bus, Parquet, Data Logging, Synapse Citrix, Enterprise Software Applications, Azure Data Factory, Sql Optimization, Retrieval-Augmented Generation, Apache Spark, Microsoft Fabric, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Star Schema, Bicep, Apache Kafka, Tools for Reporting, Terraform, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** October 13, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ga/duluth/b560cb6f-ea3f-4efd-bd76-afab7ca337bc

## About the Role

* 7+ years of hands-on data engineering experience within Microsoft Azure.
 * Advanced Python, PySpark, SQL, and Spark SQL skills.
 * Strong Microsoft Fabric experience.
 * Experience with Azure Data Factory, Synapse, and/or Databricks.
 * Experience with OneLake, ADLS Gen2, Delta Lake, lakehouse, and data warehouse architectures.
 * Strong knowledge of Medallion architecture, dimensional modeling, CDC, and metadata-driven pipelines.
 * Experience with Spark performance tuning and SQL optimization.
 * Experience with data quality, governance, lineage, CI/CD, automated testing, and production support.
 * Strong communication, collaboration, problem-solving, and mentoring skills.
 * Bachelors degree in a related discipline or equivalent professional experience.

Nice to Have

 * Microsoft Fabric Data Engineer Associate (DP-700) certification.
 * Experience with Terraform, Bicep, Azure DevOps, or GitHub Actions.
 * Experience with Event Hubs, Kafka, streaming, or Fabric Real-Time Intelligence.
 * ERP, supply chain, distribution, manufacturing, PIM, or MDM data experience.
 * Familiarity with Power BI, Direct Lake, Fabric Mirroring, Azure OpenAI, or RAG., 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

Github
PySpark
Power BI
Textiles
Metadata
Terraform
SQL Azure
Operations
Leadership
Mentorship
Governance
Databricks
Warehousing
Code Review
Scalability
Star Schema
Supply Chain
Data Quality
Azure OpenAI
Azure DevOps
Apache Kafka
Communication
Apache Parquet
Synapse Citrix
Test Automation
Microsoft Azure
Problem Solving
Data Warehousing
Data Engineering
Microsoft Fabric
Performance Tuning
Business Valuation
Azure Data Factory
Dimensional Modeling
Enterprise Analytics
Business Intelligence
Full Stack Development
Business Transformation
SQL (Programming Language)
Extract Transform Load (ETL)
Cloud Computing Architecture
Python (Programming Language)
Protocol Independent Multicast
Activities Of Daily Living (ADLs)
Application Programming Interface (API), * Build scalable ETL/ELT pipelines using Python, PySpark, SQL, Microsoft Fabric, Azure Data Factory, Synapse, and Databricks.

 * Develop lakehouse and warehouse solutions using OneLake, ADLS Gen2, Delta Lake, Parquet, and Spark.
 * Create batch, incremental, CDC, API, and streaming ingestion processes.
 * Design dimensional models, star schemas, SCDs, and curated data products.
 * Build reusable frameworks for ingestion, transformation, validation, logging, and error handling.
 * Optimize Spark, SQL, storage, and pipeline performance.
 * Implement data quality, governance, lineage, monitoring, and observability.
 * Support CI/CD, automated testing, and Infrastructure as Code.
 * Collaborate with cloud, architecture, BI, security, application, and business teams.
 * Mentor engineers through design reviews, code reviews, and best practices., 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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