Yorkshire Global Solutions Inc.

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Dallas, TX, for 6 months on a W2 contract. Requires 10 years of data engineering experience, expertise in Snowflake, SQL, Python, and consulting experience, preferably in financial services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 3, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#PySpark #"ETL (Extract #Transform #Load)" #Data Engineering #ADF (Azure Data Factory) #Data Modeling #Spark (Apache Spark) #SQL (Structured Query Language) #dbt (data build tool) #Leadership #Data Pipeline #Informatica #Python #Airflow #Consulting #Snowflake
Role description
Job Title: Data Engineering Manager Location: Dallas, TX (Onsite) Visa: H4 EAD, GC & USC Duration: 6 Months Contract: W2 Only (No Chance of C2C / 1099) Qualifications: • 10 years of experience in data engineering and delivery leadership. • Proven track record managing delivery of Snowflake-based data platforms (pipelines, ETL, semantic layers). Hands-on experience with: • SQL, Python, PySpark • Snowflake (data modeling, performance optimization, RBAC, Bronze/Silver/Gold architecture) • DBT for transformations/configurations • ETL/ELT tools (Airflow, Informatica, Glue, ADF, etc.) • Strong background in data pipeline testing, validation, and quality frameworks. • Experience working with consulting partners (Deloitte preferred) and distributed onshore/offshore engineering teams. • Excellent delivery and risk management skills?able to foresee challenges, maintain RAID logs, and keep workstreams accountable. • Strong executive presence; comfortable reporting to AVPs, CIO, and executive steering committees. • Effective communicator who can bridge business and technical discussions. • Experience in financial services, mortgage, or other highly regulated industries preferred.