Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer based in Kirkwood, MO, on a long-term contract. Requires 5+ years of experience, expertise in Snowflake, SnowPark, Azure, Python, and Scala, along with strong leadership and communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 3, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Kirkwood, MO
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Data Lake #AWS (Amazon Web Services) #Data Modeling #Spark (Apache Spark) #Snowpark #"ETL (Extract #Transform #Load)" #Leadership #PySpark #Data Science #Data Lakehouse #Scala #Programming #Azure #Data Architecture #SnowPipe #Data Ingestion #Compliance #AI (Artificial Intelligence) #Data Integrity #Datasets #Batch #Data Engineering #Data Pipeline #Security #Apache Iceberg #ADF (Azure Data Factory) #Snowflake #Data Quality #Databricks #Azure Data Factory #Cloud #Python
Role description
Sr. Data Engineer
Day 1 Onsite from Kirkwood, MO
Long Term
Must Have:
Snowflake
SnowPark
SnowPipe
Azure
Python
Scala
Requirement:
• Director-level person / personality
• Executive-level communication skills required
• Work with Executive leadership to communicate ideas,
• Build trust with technical depth and collaborate.
• Technical - Most Senior Data Engineer / Principal Architect level role
• 3+ years Snowflake experience
• Expert: Snowflake, SnowPark (data science), Data ingestion (SnowPipe, Azure Data Factory)
• Programming : Scala (build custom data pipelines, Python (data modeling), PySpark
• Azure preferred, AWS or GCP is acceptable.
• Expert building Data Pipelines
Key Responsibilities
• Lead the design, implementation, and maintenance of scalable data lakehouse platforms using modern tools like Databricks, Snowflake, and Apache Iceberg.
• Develop and optimize high-performance batch and streaming ETL/ELT pipelines, with a strong focus on Snowflake, Snowpipe, and Snowpark.
• Act as a technical leader, managing architecture discussions and leading conversations with both internal teams and external clients.
• Implement and enforce data quality, governance, and security best practices to ensure data integrity and compliance.
• Identify opportunities to integrate platform-level AI tools (like those in Snowflake, Databricks, and Fabric) to outpace traditional data science efforts and deliver faster, more impactful insights.
• Collaborate with cross-functional teams, including data scientists and business stakeholders, to deliver high-quality, business-critical datasets.
Qualifications
• Slowflake experience/proficiency is critical.
• Azure experience is preferred, but Google Cloud and AWS okay
• 5+ years of professional experience in data engineering.
• Strong technical leadership and excellent communication skills, with proven experience in a client-facing role.
• Deep expertise in cloud data platforms, with significant hands-on experience in Snowflake.
• Demonstrated experience with data lakehouse design patterns and modern data architectures.
Sr. Data Engineer
Day 1 Onsite from Kirkwood, MO
Long Term
Must Have:
Snowflake
SnowPark
SnowPipe
Azure
Python
Scala
Requirement:
• Director-level person / personality
• Executive-level communication skills required
• Work with Executive leadership to communicate ideas,
• Build trust with technical depth and collaborate.
• Technical - Most Senior Data Engineer / Principal Architect level role
• 3+ years Snowflake experience
• Expert: Snowflake, SnowPark (data science), Data ingestion (SnowPipe, Azure Data Factory)
• Programming : Scala (build custom data pipelines, Python (data modeling), PySpark
• Azure preferred, AWS or GCP is acceptable.
• Expert building Data Pipelines
Key Responsibilities
• Lead the design, implementation, and maintenance of scalable data lakehouse platforms using modern tools like Databricks, Snowflake, and Apache Iceberg.
• Develop and optimize high-performance batch and streaming ETL/ELT pipelines, with a strong focus on Snowflake, Snowpipe, and Snowpark.
• Act as a technical leader, managing architecture discussions and leading conversations with both internal teams and external clients.
• Implement and enforce data quality, governance, and security best practices to ensure data integrity and compliance.
• Identify opportunities to integrate platform-level AI tools (like those in Snowflake, Databricks, and Fabric) to outpace traditional data science efforts and deliver faster, more impactful insights.
• Collaborate with cross-functional teams, including data scientists and business stakeholders, to deliver high-quality, business-critical datasets.
Qualifications
• Slowflake experience/proficiency is critical.
• Azure experience is preferred, but Google Cloud and AWS okay
• 5+ years of professional experience in data engineering.
• Strong technical leadership and excellent communication skills, with proven experience in a client-facing role.
• Deep expertise in cloud data platforms, with significant hands-on experience in Snowflake.
• Demonstrated experience with data lakehouse design patterns and modern data architectures.
