

Saragossa
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer contract for 2-3 months in Denver, offering a pay rate of "unknown." Key skills include Databricks, ETL, and data quality. Experience in financial services or CRM systems is preferred. On-site work required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 6, 2026
🕒 - Duration
1 to 3 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
Denver, CO
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🧠 - Skills detailed
#Data Integrity #Cloud #CRM (Customer Relationship Management) #Databricks #AI (Artificial Intelligence) #Scala #"ETL (Extract #Transform #Load)" #Data Quality #Data Integration #Data Engineering #SQL (Structured Query Language)
Role description
Everyone makes resolutions for the new year, but far fewer people have the perseverance to follow through. If your resolution was to find a new, more exciting role as a Data Engineer, let this be your sign. It's time to stop saying "maybe tomorrow" and apply for this new venture in the Denver area today!
Who Are You Working With?
You’ll be supporting a technology-focused investment organization with an internal data and engineering function. The team partners with stakeholders across multiple initiatives to improve data reliability, scalability, and cost efficiency, with an emphasis on enabling analytics and AI-driven applications.
What Are You Doing?
This is a hands-on contractor role focused on data infrastructure optimization, CRM data integration, and ensuring data quality for an AI-powered hybrid search system. This role is contracted for 2-3 months but holds the potential to become Contract-To-Hire upon completion of the initial contract period.
Key responsibilities include:
• Auditing existing Databricks SQL warehouse configurations and recommending right-sizing strategies
• Optimize job scheduling and compute utilization to reduce unnecessary warehouse spin-ups
• Review ETL pipeline execution frequency and cost drivers
• Implement robust data preparation, cleansing, and sanity checks on DealCloud CRM data
• Address schema evolution challenges and establish best practices
• Validate and optimize CDC logic from bronze to silver layers
• Ensure data integrity for hybrid search combining structured and unstructured data
• Evaluate and optimize vector search index configurations
Who Are You?
You have strong hands-on experience with Databricks and modern cloud data platforms and are comfortable commuting to the Cherry Creek area of Denver. Prior experience in financial services, investment organizations, or enterprise CRM systems is helpful but not required. Familiarity with DealCloud or similar platforms is a plus.
Please Note: Visa sponsorship is not available at this time. C2C engagements can only be considered if the LLC is owned by the contractor.
Everyone makes resolutions for the new year, but far fewer people have the perseverance to follow through. If your resolution was to find a new, more exciting role as a Data Engineer, let this be your sign. It's time to stop saying "maybe tomorrow" and apply for this new venture in the Denver area today!
Who Are You Working With?
You’ll be supporting a technology-focused investment organization with an internal data and engineering function. The team partners with stakeholders across multiple initiatives to improve data reliability, scalability, and cost efficiency, with an emphasis on enabling analytics and AI-driven applications.
What Are You Doing?
This is a hands-on contractor role focused on data infrastructure optimization, CRM data integration, and ensuring data quality for an AI-powered hybrid search system. This role is contracted for 2-3 months but holds the potential to become Contract-To-Hire upon completion of the initial contract period.
Key responsibilities include:
• Auditing existing Databricks SQL warehouse configurations and recommending right-sizing strategies
• Optimize job scheduling and compute utilization to reduce unnecessary warehouse spin-ups
• Review ETL pipeline execution frequency and cost drivers
• Implement robust data preparation, cleansing, and sanity checks on DealCloud CRM data
• Address schema evolution challenges and establish best practices
• Validate and optimize CDC logic from bronze to silver layers
• Ensure data integrity for hybrid search combining structured and unstructured data
• Evaluate and optimize vector search index configurations
Who Are You?
You have strong hands-on experience with Databricks and modern cloud data platforms and are comfortable commuting to the Cherry Creek area of Denver. Prior experience in financial services, investment organizations, or enterprise CRM systems is helpful but not required. Familiarity with DealCloud or similar platforms is a plus.
Please Note: Visa sponsorship is not available at this time. C2C engagements can only be considered if the LLC is owned by the contractor.






