CodeGeniusRecruit
Finance Data Engineer | $85/hr Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Finance Data Engineer, offering $60-$85/hr for 10-40 hrs/week, requiring strong PySpark and SQL skills. A Bachelor's in Computer Science is needed, with onsite work in San Francisco, New York, or Bellevue for over 6 months.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
July 22, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Quality #Computer Science #Data Engineering #PySpark #Data Processing #Spark (Apache Spark) #Data Pipeline #SQL (Structured Query Language)
Role description
Work Snapshot
Type: Contingent Role
Location: San Francisco, CA / New York, NY / Bellevue, WA
Commitment: 10-40 hrs/week
Commission: $60-$85 per hour
What You'll Be Doing
• Build and maintain PySpark-based data pipelines for Finance's data flow.
• Write and optimize SQL for large volumes of financial data.
• Partner with Finance and engineering stakeholders to develop data infrastructure.
• Track down and fix pipeline issues, ensuring data quality.
What We Re Looking For
• Have strong relevant experience in the domain.
• Hands-on experience with PySpark and large-scale data processing.
• Strong SQL skills required for technical screens.
• Bachelor's degree in Computer Science or a related field.
• Comfortable working onsite full-time.
Application Process
• Submit your application through the Easy Apply button.
• Each application will be reviewed against the role requirements.
• Candidates who meet the requirements will receive an email with the next steps.
• Follow the instructions provided in the email to complete the remainder of the application process.
Work Snapshot
Type: Contingent Role
Location: San Francisco, CA / New York, NY / Bellevue, WA
Commitment: 10-40 hrs/week
Commission: $60-$85 per hour
What You'll Be Doing
• Build and maintain PySpark-based data pipelines for Finance's data flow.
• Write and optimize SQL for large volumes of financial data.
• Partner with Finance and engineering stakeholders to develop data infrastructure.
• Track down and fix pipeline issues, ensuring data quality.
What We Re Looking For
• Have strong relevant experience in the domain.
• Hands-on experience with PySpark and large-scale data processing.
• Strong SQL skills required for technical screens.
• Bachelor's degree in Computer Science or a related field.
• Comfortable working onsite full-time.
Application Process
• Submit your application through the Easy Apply button.
• Each application will be reviewed against the role requirements.
• Candidates who meet the requirements will receive an email with the next steps.
• Follow the instructions provided in the email to complete the remainder of the application process.
