

Lead Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer in Houston, TX, on a 6-month contract at up to $120/hour. Requires expert Databricks experience, strong Python and SQL skills, and cloud platform knowledge. Experience in trading or commodities is a plus.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
960
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ποΈ - Date discovered
July 4, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Houston, TX
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π§ - Skills detailed
#Cloud #GCP (Google Cloud Platform) #Datasets #"ETL (Extract #Transform #Load)" #Data Architecture #AWS (Amazon Web Services) #Data Engineering #Data Pipeline #Azure #SQL (Structured Query Language) #Python #Migration #RDBMS (Relational Database Management System) #Scala #Data Modeling #Databricks
Role description
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Lead Data Engineer / Data Architect (Hands-On)
Location: Houston, TX (4 days onsite per week)
Contract: 6 months initially (extendable or potential to go permanent)
Rate: Up to $120/hour
Industry: Global leader in energy & commodity trading
A world-leading trading firm is looking for a hands-on Lead Data Engineer / Architect to join their Front Office Technology Team, working directly with traders and analysts on business-critical data initiatives. Youβll be leading the build and migration of data pipelines and architecture using Databricks, enabling fast, reliable insights for trading decisions.
What you'll be doing:
β’ Embedded in the front office, partnering with global trading desks
β’ Migrating complex datasets from RDBMS systems into Databricks
β’ Designing and implementing scalable ETL pipelines with Python and SQL
β’ Supporting advanced analytics, reporting, and risk management systems
β’ Driving architectural decisions and contributing to technical best practices
What we're looking for:
β’ Expert-level Databricks experience (certification highly preferred)
β’ Strong hands-on skills in Python, SQL, and data modeling
β’ Solid understanding of cloud data platforms (Azure, AWS, or GCP)
β’ Proven experience building data pipelines in production environments
β’ Excellent communication and stakeholder-facing skills
β’ Experience in trading or commodities is a bonus, not a requirement
This is a great opportunity to work in a high-impact front office role, delivering real-time value to a global trading operation. If you're passionate about building data systems that matter, we'd love to speak with you.