Artech L.L.C.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 5–7+ years of experience, focusing on data modernization using Databricks, Python, and SQL. It's a fully remote contract position requiring a Bachelor's degree and expertise in Azure Synapse, data analysis, and reporting.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
June 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
California, United States
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🧠 - Skills detailed
#Scala #Synapse #PySpark #Data Engineering #SAS #Azure Synapse Analytics #"ETL (Extract #Transform #Load)" #Visualization #BI (Business Intelligence) #Migration #GIT #Spark SQL #Microsoft Excel #Data Analysis #Databricks #Python #Microsoft Power BI #AI (Artificial Intelligence) #Version Control #Azure #SQL (Structured Query Language) #Spark (Apache Spark) #Oracle #ML (Machine Learning)
Role description
📍 Location: Fully Remote (Must be available during PST hours)
📄 Employment Type: Contract
🎓 Education: Bachelor's Degree Required
📅 Experience: 5–7+ Years
About the Opportunity
We are seeking an experienced IT Subject Matter Expert (SME) to support a high-impact data modernization initiative focused on Databricks, Machine Learning/AI, and enterprise reporting solutions. This role will play a key part in transforming legacy SAS-based processes into modern, scalable solutions using Python, PySpark, T-SQL, Spark SQL, Synapse, and Databricks.
The ideal candidate will bring strong technical expertise, analytical thinking, and a passion for identifying opportunities to leverage Machine Learning and AI to improve business processes and accelerate results.
Key Responsibilities
• Develop and enhance data throughput reporting applications using T-SQL, Spark SQL, Python, and PySpark within Azure Synapse and Databricks environments.
• Partner with business stakeholders and technical teams to gather, interpret, and translate requirements into scalable reporting solutions.
• Perform data analysis, reporting, and visualization using available reporting tools and platforms.
• Support two major transformation initiatives:
• Migration from SAS to T-SQL/Spark SQL
• Migration from SAS to Python/PySpark
Required Qualifications
• 5–7+ years of experience in Data Engineering, Data Analytics, or related technical roles.
• Strong hands-on experience with:
• SQL (T-SQL, Spark SQL)
• Python and PySpark
• Azure Synapse Analytics
• Databricks
• Data Analysis and Reporting
• Experience working with Git-based version control.
• Knowledge of SQL performance tuning and optimization.
• Strong problem-solving and analytical skills.
• Excellent communication, presentation, and stakeholder management abilities.
Preferred Qualifications
• Experience with Machine Learning models and AI-driven analytics solutions.
• Familiarity with SAS coding and SAS migration projects.
• Experience with:
• Oracle
• Power BI
• Power Apps
• Microsoft Excel
• Ability to identify innovative approaches and recommend process improvements.
What We're Looking For
✔ Strong analytical mindset with a passion for data-driven decision-making
✔ Ability to work independently in a fast-paced environment
✔ Comfortable working under pressure and managing multiple priorities
✔ Strong collaboration and presentation skills
✔ Experience supporting enterprise-scale reporting and analytics initiatives
📍 Location: Fully Remote (Must be available during PST hours)
📄 Employment Type: Contract
🎓 Education: Bachelor's Degree Required
📅 Experience: 5–7+ Years
About the Opportunity
We are seeking an experienced IT Subject Matter Expert (SME) to support a high-impact data modernization initiative focused on Databricks, Machine Learning/AI, and enterprise reporting solutions. This role will play a key part in transforming legacy SAS-based processes into modern, scalable solutions using Python, PySpark, T-SQL, Spark SQL, Synapse, and Databricks.
The ideal candidate will bring strong technical expertise, analytical thinking, and a passion for identifying opportunities to leverage Machine Learning and AI to improve business processes and accelerate results.
Key Responsibilities
• Develop and enhance data throughput reporting applications using T-SQL, Spark SQL, Python, and PySpark within Azure Synapse and Databricks environments.
• Partner with business stakeholders and technical teams to gather, interpret, and translate requirements into scalable reporting solutions.
• Perform data analysis, reporting, and visualization using available reporting tools and platforms.
• Support two major transformation initiatives:
• Migration from SAS to T-SQL/Spark SQL
• Migration from SAS to Python/PySpark
Required Qualifications
• 5–7+ years of experience in Data Engineering, Data Analytics, or related technical roles.
• Strong hands-on experience with:
• SQL (T-SQL, Spark SQL)
• Python and PySpark
• Azure Synapse Analytics
• Databricks
• Data Analysis and Reporting
• Experience working with Git-based version control.
• Knowledge of SQL performance tuning and optimization.
• Strong problem-solving and analytical skills.
• Excellent communication, presentation, and stakeholder management abilities.
Preferred Qualifications
• Experience with Machine Learning models and AI-driven analytics solutions.
• Familiarity with SAS coding and SAS migration projects.
• Experience with:
• Oracle
• Power BI
• Power Apps
• Microsoft Excel
• Ability to identify innovative approaches and recommend process improvements.
What We're Looking For
✔ Strong analytical mindset with a passion for data-driven decision-making
✔ Ability to work independently in a fast-paced environment
✔ Comfortable working under pressure and managing multiple priorities
✔ Strong collaboration and presentation skills
✔ Experience supporting enterprise-scale reporting and analytics initiatives
