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# Salesforce Developer

- **Company:** CareerCircle
- **Location:** Westbrook, ME, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $128,960.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Apache HTTP Server, Big Data, Software Bug Management, Databases, Data Files, Data Integration, Data Virtualization, Data Warehousing, Disaster Recovery, Distributed Computing Environment, Distributed Data Store, Fault Tolerance, Apache Hive, JSON, Python (Programming Language), Operational Data Store, Simple Data Format, Software Deployment, SQL Databases, Data Streaming, Parquet, Data Lakes, Semi-structured Data, Data Management, Data Pipelines
- **Published:** July 24, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/me/westbrook/144c888a-7db8-4233-b787-4e2b105d183c

## About the Role

Python, Data, Sql, Aws, Hands-on experience with dbt Core or dbt Cloud Proficiency with Spark SQL, Python Streaming ingestion patterns including schema evolution handling and working with parquet and json file formats

## Description

Operations
Management
Data Lakes
Scalability
Data Pipelines
Apache Parquet
Data Management
Fault Tolerance
Data Integration
Data Warehousing
Database Systems
Disaster Recovery
Business Valuation
Amazon Web Services
Design Modification
Software Deployment
Data Virtualization
Technology Solutions
Semi-Structured Data
Full Stack Development
Operational Data Store
Distributed Data Store
Artificial Intelligence
Business Transformation
SQL (Programming Language)
Python (Programming Language), Builds robust, fault-tolerant data pipelines that collect, assemble and potentially transform and aggregate unorganized data distributed into databases or data sources such as operational data stores, data integration hubs and data lakes or estuaries. Compiles and installs database systems, writes queries, scales to multiple machines and puts disaster recovery systems into place. Builds groundwork for data consumers (software or human) to easily retrieve needed data for evaluations and experiments. Builds operational data use cases such as moving large volumes of data across applications via operational data stores, data hubs and data lakes, and builds private/segregated data pipelines between specific applications. Designs and implements scalable, reliable distributed data processing frameworks and analytical infrastructure using multiple technologies, including data sets or data warehouses, data virtualization and services and repositories of semi-structured data sets. Defines, designs,
and implements data management, storage, backup and recovery solutions that ensure high performance of the organization's enterprise data. Designs automated software deployment functionality that allows efficient management of applications across distributed platforms. Understands structural requirements and defines standards for how data will be stored, consumed, integrated and managed. Monitors structural performance and utilization, identifies problems and implements solutions. Lead the creation of standards, best practices and new processes for operational integration of new technology solutions. Ensures environments are compliant with defined standards and operational procedures. Implements measures to ensure data accuracy and accessibility, constantly monitoring and refining the performance of data management systems. Completes problem tickets including bug fixes, design modification and enhancement based on customer requirements., Operations
Management
Data Lakes
Scalability
Data Pipelines
Apache Parquet
Data Management
Fault Tolerance
Data Integration
Data Warehousing
Database Systems
Disaster Recovery
Business Valuation
Amazon Web Services
Design Modification
Software Deployment
Data Virtualization
Technology Solutions
Semi-Structured Data
Full Stack Development
Operational Data Store
Distributed Data Store
Artificial Intelligence
Business Transformation
SQL (Programming Language)
Python (Programming Language)
+0


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