

Mastech Digital
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a Bachelor's Degree, requiring strong expertise in Databricks, Pyspark (80% experience), and SQL. It is a hybrid position in New York City, with a focus on data analysis and communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Databricks #PySpark #Data Analysis #SQL (Structured Query Language) #Data Engineering #Spark (Apache Spark)
Role description
• Hybrid in New York City
• Responsibilities:Strong Data Engineer with hands-on in Databricks, Pyspark and SQL (must have)
• Independent and self-driven on the tasks provided
• Detail oriented in the Data Analysis and validation
• Ability write optimized pyspark code and debug existing script/job
• Act with integrity, professionalism, and personal responsibility to uphold the firm’s respectful and courteous work environment.
• Qualifications:Bachelor's Degree
• Strong Data Engineer with hands-on in Databricks, Pyspark (80% Pyspark experience) and SQL.
• Strong communication and presentation skills, with the ability to effectively convey complex data findings to non-technical stakeholders
• Strong organizational and time management skills, with the ability to manage multiple projects and meet deadlines
• Hybrid in New York City
• Responsibilities:Strong Data Engineer with hands-on in Databricks, Pyspark and SQL (must have)
• Independent and self-driven on the tasks provided
• Detail oriented in the Data Analysis and validation
• Ability write optimized pyspark code and debug existing script/job
• Act with integrity, professionalism, and personal responsibility to uphold the firm’s respectful and courteous work environment.
• Qualifications:Bachelor's Degree
• Strong Data Engineer with hands-on in Databricks, Pyspark (80% Pyspark experience) and SQL.
• Strong communication and presentation skills, with the ability to effectively convey complex data findings to non-technical stakeholders
• Strong organizational and time management skills, with the ability to manage multiple projects and meet deadlines





