Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Austin, TX, offering a 12+ month W2 contract. Key skills include 9+ years in Data Engineering, proficiency in SQL and Python/Scala, and experience with big data tools and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 12, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Austin, Texas Metropolitan Area
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🧠 - Skills detailed
#Python #Data Lake #GCP (Google Cloud Platform) #Data Ingestion #Snowflake #Data Warehouse #Azure #Spark (Apache Spark) #SQL (Structured Query Language) #Databases #Docker #Data Quality #Data Processing #Airflow #Kafka (Apache Kafka) #AWS (Amazon Web Services) #BigQuery #Data Engineering #Hadoop #Redshift #Data Science #PostgreSQL #"ETL (Extract #Transform #Load)" #Luigi #Scala #Big Data #Security #MySQL #Kubernetes #Cloud
Role description
Job Title: Senior Data Engineer (W2 Only)
Location: Austin, TX (On-site / Hybrid – as per project needs)
Duration: 12+ Months Contract
Employment Type: W2 Only (No C2C)
Job Description:
We are seeking a highly skilled Senior Data Engineer to join our team in Austin, TX. The ideal candidate will have strong experience in designing, developing, and maintaining large-scale data processing systems, ensuring the availability, reliability, and performance of our data infrastructure.
Responsibilities:
• Design and develop robust ETL/ELT pipelines for structured and unstructured data.
• Build and optimize data warehouse and data lake solutions.
• Implement and enforce data quality, governance, and security standards.
• Collaborate with Data Scientists, Analysts, and Developers to enable analytics solutions.
• Optimize data workflows for speed, scalability, and cost efficiency.
• Automate data ingestion, transformation, and delivery processes.
Required Skills & Qualifications:
• 9+ years of experience in Data Engineering.
• Proficiency in SQL and relational databases (PostgreSQL, MySQL, etc.).
• Strong coding skills in Python or Scala.
• Hands-on experience with big data tools (Spark, Hadoop, Hive).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of pipeline orchestration tools (Airflow, Luigi, etc.).
Preferred Skills:
• Streaming data processing with Kafka or Kinesis.
• Experience with Snowflake, Redshift, or BigQuery.
• Familiarity with Docker/Kubernetes.
Job Title: Senior Data Engineer (W2 Only)
Location: Austin, TX (On-site / Hybrid – as per project needs)
Duration: 12+ Months Contract
Employment Type: W2 Only (No C2C)
Job Description:
We are seeking a highly skilled Senior Data Engineer to join our team in Austin, TX. The ideal candidate will have strong experience in designing, developing, and maintaining large-scale data processing systems, ensuring the availability, reliability, and performance of our data infrastructure.
Responsibilities:
• Design and develop robust ETL/ELT pipelines for structured and unstructured data.
• Build and optimize data warehouse and data lake solutions.
• Implement and enforce data quality, governance, and security standards.
• Collaborate with Data Scientists, Analysts, and Developers to enable analytics solutions.
• Optimize data workflows for speed, scalability, and cost efficiency.
• Automate data ingestion, transformation, and delivery processes.
Required Skills & Qualifications:
• 9+ years of experience in Data Engineering.
• Proficiency in SQL and relational databases (PostgreSQL, MySQL, etc.).
• Strong coding skills in Python or Scala.
• Hands-on experience with big data tools (Spark, Hadoop, Hive).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of pipeline orchestration tools (Airflow, Luigi, etc.).
Preferred Skills:
• Streaming data processing with Kafka or Kinesis.
• Experience with Snowflake, Redshift, or BigQuery.
• Familiarity with Docker/Kubernetes.
