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," based remotely in the US. Key skills include Snowflake, SQL, Python, and ETL pipeline experience, with 5+ years in data engineering required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 28, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Remote
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Architecture #Python #Airflow #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #ML (Machine Learning) #Data Pipeline #Kafka (Apache Kafka) #Data Engineering #SQL (Structured Query Language) #Snowflake #Observability #Documentation #Cloud #Data Quality #BigQuery #Redshift #dbt (data build tool) #Scala
Role description
About the job
Role: Data Engineer
Location: US (Remote)
Tech Stack: Snowflake, SQL, Python, ETL Pipeline
What You’ll Do
• Build and maintain scalable, secure data pipelines for analytics, insights, and ML.
• Influence data architecture with a focus on performance and reliability.
• Collaborate with product, engineering, and business teams to deliver impactful solutions.
• Drive data quality through validation, lineage, and observability best practices.
• Share knowledge via reviews, documentation, and mentorship.
What We’re Looking For
• 5+ years in data engineering, ideally in fast-paced, product-focused settings.
• Expertise with cloud data platforms (Snowflake, BigQuery, Redshift) and orchestration tools (Airflow, dbt).
• Strong skills in Python or Scala, plus efficient SQL.
• Experience with streaming frameworks (Kafka, Spark Streaming).
• Proven ability to design data models for analytics and ML.
About the job
Role: Data Engineer
Location: US (Remote)
Tech Stack: Snowflake, SQL, Python, ETL Pipeline
What You’ll Do
• Build and maintain scalable, secure data pipelines for analytics, insights, and ML.
• Influence data architecture with a focus on performance and reliability.
• Collaborate with product, engineering, and business teams to deliver impactful solutions.
• Drive data quality through validation, lineage, and observability best practices.
• Share knowledge via reviews, documentation, and mentorship.
What We’re Looking For
• 5+ years in data engineering, ideally in fast-paced, product-focused settings.
• Expertise with cloud data platforms (Snowflake, BigQuery, Redshift) and orchestration tools (Airflow, dbt).
• Strong skills in Python or Scala, plus efficient SQL.
• Experience with streaming frameworks (Kafka, Spark Streaming).
• Proven ability to design data models for analytics and ML.
