Senior Data Engineer (Finance Exp Needed)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 10-12+ years of experience, including 3+ years in Finance & Capital Markets. It offers a remote contract, focusing on AWS, Apache Spark, and Kafka, with a pay rate of "unknown."
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 27, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Databricks #AWS (Amazon Web Services) #Kafka (Apache Kafka) #Spark (Apache Spark) #Snowflake #AWS S3 (Amazon Simple Storage Service) #Data Architecture #Batch #Scala #Data Pipeline #Python #Data Quality #S3 (Amazon Simple Storage Service) #Data Engineering #Compliance #Delta Lake #Redshift #Apache Spark #dbt (data build tool) #Data Processing #Observability
Role description
Job Title: Senior Data Engineer (Finance exp needed)
Location: Remote
Position Overview
We are looking for an experienced Senior Data Engineer with strong expertise in building and optimizing large-scale data pipelines and platforms on AWS. The candidate must have experience in Finance and Capital Markets, with the ability to handle complex, real-time, and batch data processing requirements.
Key Responsibilities
• Design, develop, and optimize scalable data pipelines using AWS services, Apache Spark, and Kafka.
• Implement Medallion Architecture (Bronze, Silver, Gold layers) to structure data processing.
• Work with Parquet and Iceberg table formats to support schema evolution and high-performance queries.
• Build real-time streaming pipelines for market/trading data and time-series analytics.
• Collaborate with data architects to design lakehouse and warehouse solutions.
• Ensure data quality, governance, and compliance with financial regulations.
• Mentor and guide junior data engineers.
Required Skills & Experience
• Strong hands-on experience with AWS (S3, Glue, Redshift, EMR, Kinesis, Lake Formation).
• Expertise in Apache Spark, Kafka, and Python.
• Knowledge of Parquet, Iceberg, and Medallion Architecture.
• Strong understanding of financial data models, trading data, and risk analytics.
• 10 -12+ years of experience in Data Engineering, with at least 3+ years in Finance & Capital Markets.
Preferred
• Exposure to Databricks, DBT, Delta Lake, or Snowflake.
• Experience with CI/CD and data observability frameworks.
Job Title: Senior Data Engineer (Finance exp needed)
Location: Remote
Position Overview
We are looking for an experienced Senior Data Engineer with strong expertise in building and optimizing large-scale data pipelines and platforms on AWS. The candidate must have experience in Finance and Capital Markets, with the ability to handle complex, real-time, and batch data processing requirements.
Key Responsibilities
• Design, develop, and optimize scalable data pipelines using AWS services, Apache Spark, and Kafka.
• Implement Medallion Architecture (Bronze, Silver, Gold layers) to structure data processing.
• Work with Parquet and Iceberg table formats to support schema evolution and high-performance queries.
• Build real-time streaming pipelines for market/trading data and time-series analytics.
• Collaborate with data architects to design lakehouse and warehouse solutions.
• Ensure data quality, governance, and compliance with financial regulations.
• Mentor and guide junior data engineers.
Required Skills & Experience
• Strong hands-on experience with AWS (S3, Glue, Redshift, EMR, Kinesis, Lake Formation).
• Expertise in Apache Spark, Kafka, and Python.
• Knowledge of Parquet, Iceberg, and Medallion Architecture.
• Strong understanding of financial data models, trading data, and risk analytics.
• 10 -12+ years of experience in Data Engineering, with at least 3+ years in Finance & Capital Markets.
Preferred
• Exposure to Databricks, DBT, Delta Lake, or Snowflake.
• Experience with CI/CD and data observability frameworks.
