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# Salesforce Developer

- **Company:** CareerCircle
- **Location:** Fort Mill, SC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,800.0 - $180,960.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Apache HTTP Server, Cloud Engineering, Computer Programming, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, DevOps, Python (Programming Language), Machine Learning, Cloud Services, Scala (Programming Language), SQL Databases, Data Streaming, Sql Optimization, Snowflake, Apache Spark, Generative AI, Infrastructure as Code (IaC), Cloudformation, Data Lakes, AWS Glue, AWS Data Analytics, Apache Kafka, Video Streaming, Terraform, Databricks
- **Published:** September 29, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/sc/fort-mill/326b96c5-0f65-4bc4-bd91-218e3f2427b2

## About the Role

frameworks. - Hands-on experience with Apache Iceberg in production environments. - Strong Snowflake architecture and engineering experience. - Experience building enterprise-scale data lake and lakehouse platforms. - Advanced SQL and data modeling expertise. - Strong programming skills in Python and/or Scala. - Experience with Infrastructure as Code (Terraform, CloudFormation, CDK). - Experience with CI/CD pipelines and DevOps practices. - Strong understanding of data governance, data quality, and security controls. Preferred Qualifications: - Experience within financial services, wealth management, brokerage, banking, or fintech organizations. - Knowledge of advisor, client, trading, operational, compliance, and regulatory data domains. - Experience supporting AI/ML and Generative AI initiatives through modern data architectures. - Experience with Kafka, Kinesis, or streaming technologies. - Familiarity with Databricks or Spark-based ecosystems. - AWS Certified Data
Engineer, AWS Solutions Architect, or similar cloud certifications.

Skills

Aws, Etl, snowflake, glue, Apache Iceberg, S3, 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

DevOps
Equities
AWS Glue
Terraform
Brokerage
Operations
Data Lakes
Databricks
AWS Kinesis
Data Quality
Apache Kafka
Data Modeling
Apache Iceberg
Data Governance
Machine Learning
Data Engineering
Security Controls
Wealth Management
Business Valuation
Financial Services
AWS CloudFormation
Scalability Design
Amazon Web Services
Technology Ecosystems
Solution Architecture
Cloud-Native Computing
Full Stack Development
Artificial Intelligence
Business Transformation
SQL (Programming Language)
Snowflake (Data Warehouse)
Extract Transform Load (ETL)
Infrastructure as Code (IaC)
Scala (Programming Language)
Python (Programming Language)
Financial Technology (FinTech)
AWS Cloud Development Kit (CDK)
Generative Artificial Intelligence, Principal AWS Data Engineer: This is a top-level technical leader who designs, builds, and manages large-scale, cloud-native data platforms and pipelines using Amazon Web Services. Project: Retirement Partners - This is hands-on, but they will oversee and lead the team from a data perspective (equivalent to a VP) this role requires a very high level of technical experience (10+ years) - This role will require a resource who can roll up their sleeves and get in the weeds with the team on a day to day basis. - AWS Data Services: Glue, S3, Apache Iceberg - Additional Experience: Snowflake, ETL This individual will serve as a technical leader responsible for designing scalable, secure, and high-performance data solutions leveraging AWS, Apache Iceberg, Snowflake, and modern ETL/ELT frameworks. Required Qualifications - 10+ years of Data Engineering experience. - 5+ years designing and implementing AWS-based data solutions. - Deep expertise with AWS Glue and cloud-native ETL


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