Sira Consulting
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown" and a pay rate of "unknown". Key skills include proficiency in Python or Scala, experience with data pipelines, and knowledge of Spark and Hadoop. Cloud experience is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 22, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Arlington, TX
-
🧠 - Skills detailed
#Data Quality #Big Data #Python #Airflow #Scala #Hadoop #NiFi (Apache NiFi) #ML (Machine Learning) #Data Processing #Spark (Apache Spark) #Data Ingestion #Data Pipeline #AWS (Amazon Web Services) #Databricks #Monitoring #Java #SQL (Structured Query Language) #Data Engineering #Cloud #Data Management
Role description
Job Description:
• Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it
• Experience building robust and efficient data pipelines end-to-end with a strong focus on data quality
• High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms
• Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or
• Implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting
• Cloud knowledge (Databricks or AWS ecosystem) is a plus but not required
Job Description:
• Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it
• Experience building robust and efficient data pipelines end-to-end with a strong focus on data quality
• High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms
• Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or
• Implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting
• Cloud knowledge (Databricks or AWS ecosystem) is a plus but not required
