Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a 6+ month contract in Arlington, Virginia (3-days hybrid). Required skills include advanced Spark, Hadoop, Python, SQL, and Java. Pay rate is $70-$80/hr on W2.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
640
-
🗓️ - Date discovered
September 26, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
Hybrid
-
📄 - Contract type
W2 Contractor
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Arlington, VA
-
🧠 - Skills detailed
#Monitoring #Data Bricks #Databricks #Scala #SQL (Structured Query Language) #Splunk #Python #Spark (Apache Spark) #GIT #Java #Jenkins #NiFi (Apache NiFi) #Data Engineering #Data Processing #Impala #Hadoop
Role description
We are Seeking a Senior Data Engineer who will lead the technical design and development of an Analytic Foundation. Opportunity to work on large scale data analytics and data processing products developed using technologies such as python/Scala, Spark, Hadoop, NIFI/Oozie, and Databricks.
These services will be offered through a series of APIs that deliver data and insights from various points along a central data store.
Here are some of the specific details:
Job Title: Senior Data Engineer
Job Duration: 6+ months
Job Location: Arlington, Virginia (3-days Hybrid)
REQUIRED SKILLS:
• Custom build new data-based solutions using Spark, Hadoop, Java
• Advanced in Spark, Intermediate in data bricks
• Hadoop platform & tools (Hive, Impala, Nifi, Oozie, Scoop)
• Python, SQL
• Knowledge of Splunk or other alerting and monitoring solutions (Nice to Have).
• Fluent in the use of Git, Jenkins (Nice to have).
A reasonable, good faith estimate of the minimum and maximum for this position is $70/hr to$80/hr on W2.
We are Seeking a Senior Data Engineer who will lead the technical design and development of an Analytic Foundation. Opportunity to work on large scale data analytics and data processing products developed using technologies such as python/Scala, Spark, Hadoop, NIFI/Oozie, and Databricks.
These services will be offered through a series of APIs that deliver data and insights from various points along a central data store.
Here are some of the specific details:
Job Title: Senior Data Engineer
Job Duration: 6+ months
Job Location: Arlington, Virginia (3-days Hybrid)
REQUIRED SKILLS:
• Custom build new data-based solutions using Spark, Hadoop, Java
• Advanced in Spark, Intermediate in data bricks
• Hadoop platform & tools (Hive, Impala, Nifi, Oozie, Scoop)
• Python, SQL
• Knowledge of Splunk or other alerting and monitoring solutions (Nice to Have).
• Fluent in the use of Git, Jenkins (Nice to have).
A reasonable, good faith estimate of the minimum and maximum for this position is $70/hr to$80/hr on W2.
