Innovatech Staffing
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 10+ years of experience, proficient in Python, SQL, Spark, and Databricks, focusing on ETL processes and data pipelines. Contract length is unspecified; pay rate is also unspecified. Preferred time zone is PST.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 12, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Snowflake #AWS (Amazon Web Services) #Data Engineering #SQL (Structured Query Language) #Automation #Cloud #Kafka (Apache Kafka) #Databricks #Azure #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Tableau #Spark (Apache Spark) #GCP (Google Cloud Platform) #Datasets #Data Pipeline #Python #Big Data
Role description
Required Qualifications
• 10+ years of experience in data engineering .
• Proficiency in Python, SQL, Spark, and Databricks .
• Experience working with Snowflake and cloud-based data platforms (AWS, Azure, or GCP) .
• Strong understanding of ETL processes, data pipelines, and workflow automation .
• Experience working with churn, financial, subscription, and viewership data .
• Ability to track joins and manage nested, complex code structures in large datasets.
• Hands-on experience with data partitioning strategies for performance optimization.
• Preferred time zone: PST (open to Central but not East Coast).
Nice-to-Have Qualifications
• Experience developing Tableau dashboards .
• Familiarity with machine learning or predictive analytics in a data engineering context.
• Exposure to big data streaming technologies like Kafka or Spark Streaming.
• Manager prefers go-getters with strong time management skills – independent workers who thrive in a structured, fast-paced environment.
Required Qualifications
• 10+ years of experience in data engineering .
• Proficiency in Python, SQL, Spark, and Databricks .
• Experience working with Snowflake and cloud-based data platforms (AWS, Azure, or GCP) .
• Strong understanding of ETL processes, data pipelines, and workflow automation .
• Experience working with churn, financial, subscription, and viewership data .
• Ability to track joins and manage nested, complex code structures in large datasets.
• Hands-on experience with data partitioning strategies for performance optimization.
• Preferred time zone: PST (open to Central but not East Coast).
Nice-to-Have Qualifications
• Experience developing Tableau dashboards .
• Familiarity with machine learning or predictive analytics in a data engineering context.
• Exposure to big data streaming technologies like Kafka or Spark Streaming.
• Manager prefers go-getters with strong time management skills – independent workers who thrive in a structured, fast-paced environment.
