HTD Talent
RPA Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an RPA Data Engineer with a contract length of "Unknown", offering a pay rate of "Unknown". Key skills include SQL, Python, Snowflake, and AWS. Requires 10+ years in data engineering, with financial services experience essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 19, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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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
#Compliance #Data Governance #Scala #Data Pipeline #Data Quality #Data Engineering #Snowflake #SQL (Structured Query Language) #AWS (Amazon Web Services) #Data Integration #Cloud #Automation #Security #Python
Role description
Key Responsibilities:
• Design and implement scalable data pipelines to support RPA workflows across business units.
• Develop and maintain robust data integrations using Python, SQL, and Snowflake within AWS environments.
• Collaborate with cross-functional teams to identify automation opportunities and translate business requirements into technical solutions.
• Ensure data quality, security, and compliance with financial industry standards.
• Monitor and optimize performance of data processes to support real-time decision-making and analytics
Qualifications:
• 10+ years of experience in data engineering or related fields, with a focus on automation and analytics.
• Advanced proficiency in SQL, Python, Snowflake, and AWS cloud services.
• Proven track record in designing and deploying data solutions in financial services environments.
• Strong understanding of data governance, security, and compliance in regulated industries.
• Experience or knowledge in fixed income and risk management is highly desirable.
Key Responsibilities:
• Design and implement scalable data pipelines to support RPA workflows across business units.
• Develop and maintain robust data integrations using Python, SQL, and Snowflake within AWS environments.
• Collaborate with cross-functional teams to identify automation opportunities and translate business requirements into technical solutions.
• Ensure data quality, security, and compliance with financial industry standards.
• Monitor and optimize performance of data processes to support real-time decision-making and analytics
Qualifications:
• 10+ years of experience in data engineering or related fields, with a focus on automation and analytics.
• Advanced proficiency in SQL, Python, Snowflake, and AWS cloud services.
• Proven track record in designing and deploying data solutions in financial services environments.
• Strong understanding of data governance, security, and compliance in regulated industries.
• Experience or knowledge in fixed income and risk management is highly desirable.
