Data Engineer (Spark, AML) - W2 Only

Summary: The Data Engineer role focuses on developing applications using various programming languages and cloud technologies. Candidates should have extensive experience in data engineering, particularly with real-time data processing and distributed computing tools. The position is contract-based and requires a W2 employment arrangement. This role is fully remote, allowing for flexibility in work location.

Key Responsibilities:

• Develop applications using Python, SQL, Scala, or Java.
• Utilize public cloud services such as AWS, Microsoft Azure, or Google Cloud.
• Work with distributed data/computing tools like MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
• Implement real-time data and streaming applications.
• Manage NoSQL databases such as Mongo or Cassandra.
• Oversee data warehousing solutions using Redshift or Snowflake.
• Utilize UNIX/Linux for basic commands and shell scripting.
• Apply Agile engineering practices in development processes.

Key Skills:

• 7+ years of application development experience.
• 4+ years of experience with public cloud platforms.
• 4+ years of experience with distributed data/computing tools.
• 4+ years of experience in real-time data processing.
• 4+ years of experience with NoSQL databases.
• 4+ years of data warehousing experience.
• 4+ years of UNIX/Linux experience.
• 2+ years of experience with Agile practices.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT