Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 5-10 years of experience, specifically in finance. The 8+ month contract is 100% remote, requiring strong skills in Databricks, Spark, Python, and SQL. W2 employment is mandatory.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
480
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πŸ—“οΈ - Date discovered
September 25, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Beaverton, OR
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🧠 - Skills detailed
#Data Engineering #Security #Spark (Apache Spark) #Quality Assurance #Databricks #Snowflake #Database Management #Database Design #SQL (Structured Query Language) #Python #Storage
Role description
Position: Data Engineer 4 (Financial client experience) Location: 100% Remote Duration: 8+ months contract NOTE - Looking for a candidate who can work on w2 term only This is a Sr Data Engineer Role β€’ 5 - 10 Years Experience Required β€’ Work history In Finance. β€’ Experienced in Databricks, Spark, Python, snowflake β€’ Must have STRONG sql skills Job Description: β€’ Lead New Title; Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy. Documents and communicates database design. β€’ Evaluates and installs database management systems. β€’ Codes complex programs and derives logical processes on technical platforms. β€’ Builds windows, screens and reports. β€’ Assists in the design of user interface and business application prototypes. β€’ Participates in quality assurance and develops test application code in client server environment. β€’ Provides expertise in devising, negotiating and defending the tables and fields provided in the database. β€’ Adapts business requirements, developed by modelling/development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application. β€’ At more experienced levels, helps to develop an understanding of client's original data and storage mechanisms. β€’ Determines appropriateness of data for storage and optimum storage organization. β€’ Determines how tables relate to each other and how fields interact within the tables for a relational model.