Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 10+ years of experience, focusing on SQL, Python, and cloud platforms (AWS, Azure, GCP). Requires expertise in data modeling, ETL frameworks, and streaming technologies. Contract length and pay rate unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 19, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
California, United States
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🧠 - Skills detailed
#Snowflake #Leadership #Spark (Apache Spark) #BigQuery #Data Engineering #GCP (Google Cloud Platform) #Airflow #Azure #AWS (Amazon Web Services) #Redshift #dbt (data build tool) #Scala #Databricks #Computer Science #Cloud #Data Modeling #Python #Kafka (Apache Kafka) #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Synapse
Role description
A technology services client of ours is looking for Senior Data Engineer skills their ongoing projects.
Below are the additional details of this role:
Required Skills:
• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 10+ years of experience in Data Engineering or related fields.
• Strong expertise in SQL, Python, and/or Scala.
• Proven experience with cloud data platforms (AWS, Azure, or GCP) – services such as Redshift, Snowflake, BigQuery, Databricks, or Synapse.
• Deep understanding of data modeling, warehousing concepts, and distributed systems.
• Experience with streaming technologies (Kafka, Kinesis, Spark Streaming, Flink, etc.).
• Strong knowledge of ETL/ELT frameworks, orchestration tools (Airflow, DBT, etc.).
• Hands-on experience with containerization and CI/CD pipelines.
• Excellent problem-solving, communication, and leadership skills.
A technology services client of ours is looking for Senior Data Engineer skills their ongoing projects.
Below are the additional details of this role:
Required Skills:
• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 10+ years of experience in Data Engineering or related fields.
• Strong expertise in SQL, Python, and/or Scala.
• Proven experience with cloud data platforms (AWS, Azure, or GCP) – services such as Redshift, Snowflake, BigQuery, Databricks, or Synapse.
• Deep understanding of data modeling, warehousing concepts, and distributed systems.
• Experience with streaming technologies (Kafka, Kinesis, Spark Streaming, Flink, etc.).
• Strong knowledge of ETL/ELT frameworks, orchestration tools (Airflow, DBT, etc.).
• Hands-on experience with containerization and CI/CD pipelines.
• Excellent problem-solving, communication, and leadership skills.
