SQL Engineer with SSIS
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a SQL Engineer with SSIS and Python, offering a 12-month remote contract at a C2C pay rate. Requires 10+ years of experience, expertise in SQL and Python development, and familiarity with Salesforce APIs and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 27, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Databases #Big Data #GCP (Google Cloud Platform) #Cloud #Data Extraction #Code Reviews #SSIS (SQL Server Integration Services) #Automation #GIT #Airflow #PyTorch #Version Control #Snowflake #Deep Learning #AWS (Amazon Web Services) #Computer Science #SQL (Structured Query Language) #Docker #Data Engineering #BI (Business Intelligence) #Data Modeling #Documentation #Kubernetes #Data Science #Python #Scala #"ETL (Extract #Transform #Load)" #SQL Queries #TensorFlow #Data Processing #Data Pipeline #Data Warehouse #Data Governance #Redshift
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Everest Global Solutions, is seeking the following. Apply via Dice today!
Job Title: SQL Engineer with SSIS, Python
Location: Remote
Duration: 12 Months
Contract: C2C
Experience: 10+ years
Key Responsibilities:
SQL & Python Development
• Design, write, and optimize complex SQL queries for data extraction, transformation, and loading (ETL).
• Develop Python scripts and applications for data processing, automation, and integration.
• Collaborate with data scientists and analysts to build data pipelines and analytical tools.
Salesforce Integration - good to have
• Work with Salesforce APIs to extract, transform, and load data into internal systems.
• Support Salesforce data modeling and reporting requirements.
• Ensure data consistency and integrity across Salesforce and other platforms.
Data Engineering & Architecture
• Build and maintain scalable ETL/ELT pipelines using tools like Airflow or similar.
• Manage and optimize relational databases and data warehouses (e.g., Snowflake, AWS Redshift).
• Implement data governance, profiling, and validation processes.
Collaboration & Documentation
• Partner with cross-functional teams including product managers, researchers, and engineers.
• Document technical specifications, data flows, and system architecture.
• Participate in code reviews and contribute to best practices in data engineering.
Required Qualifications:
• Bachelor s degree in Computer Science, Information Technology, or related field.
• 3+ years of experience in SQL and Python development.
• Hands-on experience with Salesforce data structures and APIs.
• Familiarity with cloud platforms (AWS, Google Cloud Platform) and containerization tools (Docker, Kubernetes).
• Experience with version control systems (Git) and CI/CD pipelines.
Preferred Skills:
• Experience with deep learning frameworks (PyTorch, TensorFlow) is a plus.
• Knowledge of data modeling, big data analytics, and business intelligence tools.
• Strong problem-solving and communication skills.
• Ability to work independently in a fast-paced, dynamic environment.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Everest Global Solutions, is seeking the following. Apply via Dice today!
Job Title: SQL Engineer with SSIS, Python
Location: Remote
Duration: 12 Months
Contract: C2C
Experience: 10+ years
Key Responsibilities:
SQL & Python Development
• Design, write, and optimize complex SQL queries for data extraction, transformation, and loading (ETL).
• Develop Python scripts and applications for data processing, automation, and integration.
• Collaborate with data scientists and analysts to build data pipelines and analytical tools.
Salesforce Integration - good to have
• Work with Salesforce APIs to extract, transform, and load data into internal systems.
• Support Salesforce data modeling and reporting requirements.
• Ensure data consistency and integrity across Salesforce and other platforms.
Data Engineering & Architecture
• Build and maintain scalable ETL/ELT pipelines using tools like Airflow or similar.
• Manage and optimize relational databases and data warehouses (e.g., Snowflake, AWS Redshift).
• Implement data governance, profiling, and validation processes.
Collaboration & Documentation
• Partner with cross-functional teams including product managers, researchers, and engineers.
• Document technical specifications, data flows, and system architecture.
• Participate in code reviews and contribute to best practices in data engineering.
Required Qualifications:
• Bachelor s degree in Computer Science, Information Technology, or related field.
• 3+ years of experience in SQL and Python development.
• Hands-on experience with Salesforce data structures and APIs.
• Familiarity with cloud platforms (AWS, Google Cloud Platform) and containerization tools (Docker, Kubernetes).
• Experience with version control systems (Git) and CI/CD pipelines.
Preferred Skills:
• Experience with deep learning frameworks (PyTorch, TensorFlow) is a plus.
• Knowledge of data modeling, big data analytics, and business intelligence tools.
• Strong problem-solving and communication skills.
• Ability to work independently in a fast-paced, dynamic environment.
