HTD Talent

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 5–10 years of experience, focusing on Snowflake and data engineering in Alpharetta/Atlanta, GA, or New York, NY. Contract length is unspecified, with a W2 pay rate. US Citizens only.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 4, 2026
🕒 - Duration
Unknown
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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
Atlanta, GA
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🧠 - Skills detailed
#Python #Scripting #Data Pipeline #Data Engineering #Unix #DataStage #"ETL (Extract #Transform #Load)" #Snowflake #Scala #Data Analysis #Automation #Informatica
Role description
Data Engineer Must be local to Alpharetta/Atlanta, GA, or New York, NY. Must be available to work onsite at least three days per week. Employee Type: W2 only. Work Authorization: US Citizens only Overview Our client is seeking an experienced Data Engineer to support an Integrated Firm Management Assets & Revenue Data initiative. This consultant will build a scalable, high-quality data foundation in Snowflake to standardize, curate, and operationalize asset and revenue information across multiple entities. Responsibilities: • Analyze and document asset and revenue data flows. • Develop tranche-based automation plans. • Design scalable data structures in Snowflake. • Integrate and ingest data from multiple sources. • Apply data-matching and transformation logic. • Optimize data pipelines and supporting code. • Test solutions and schedule production jobs. • Follow established change-management processes. • Support production rollouts for each project milestone. • Collaborate with stakeholders in a client-facing environment. Required Qualifications: • 5–10 years of relevant data engineering experience. • Experience in a client-facing role. • Strong Snowflake experience. • Hands-on experience with Informatica DataStage or similar data-staging tools. • Strong DB2 experience. • Proficiency with Python. • Experience with data analysis and technical planning. • Ability to design, test, optimize, and operationalize data pipelines. Preferred Qualification: • Unix shell-scripting experience.