Mastech Digital
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." It requires hands-on experience in Databricks, PySpark (80%), and SQL, with strong communication and organizational skills. On-site work is necessary.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 18, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Montvale, NJ
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🧠 - Skills detailed
#Spark (Apache Spark) #Data Engineering #Databricks #PySpark #Data Analysis #SQL (Structured Query Language)
Role description
To be able to travel to client site as required.
(Hands on experience question, what type of data sets do you typically deal with. What is the volume of data you dealt with? Did you do your coding in SQL only or Pyspark (80% is ideal)
Job Description:
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
To be able to travel to client site as required.
(Hands on experience question, what type of data sets do you typically deal with. What is the volume of data you dealt with? Did you do your coding in SQL only or Pyspark (80% is ideal)
Job Description:
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
