Insight Global
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer focused on designing scalable data architectures for Wallet and Payments products. Contract length is 6 months at a pay rate of $55-$60/hour. Key skills include SQL, Python, Spark, AWS, and FinTech experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
March 13, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Cupertino, CA
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🧠 - Skills detailed
#Trino #AWS (Amazon Web Services) #Scala #SQL (Structured Query Language) #Data Governance #Airflow #"ETL (Extract #Transform #Load)" #Data Architecture #Data Integrity #Databricks #Data Modeling #BI (Business Intelligence) #Data Engineering #Java #Snowflake #Dimensional Data Models #Compliance #Spark (Apache Spark) #Python #Tableau #Kafka (Apache Kafka) #Observability #GCP (Google Cloud Platform) #Azure #Data Pipeline #ML (Machine Learning) #Batch
Role description
Data Foundations Engineer
The Data Foundations Engineer is responsible for designing and scaling modern data architectures that power Wallet, Payments, and Commerce products. This role focuses on building high‑performance data pipelines, enabling analytics and machine learning use cases, and applying strong fundamentals in data modeling and scalable systems.
Key Responsibilities
Data Engineering & Architecture
• Design and implement scalable batch and near‑real‑time data pipelines.
• Develop high‑performance, cost‑optimized ETL/ELT workflows.
• Implement dimensional data models and standardize core business metrics.
• Instrument APIs and user journeys to collect behavioral and transactional data.
Data Governance & Quality
• Ensure data integrity, governance, privacy, and regulatory compliance.
• Maintain reliability, scalability, and high availability of mission‑critical systems.
Required Skills & Experience
• Strong proficiency in SQL.
• Experience with Python, Scala, or Java.
• Hands‑on experience with Spark, Kafka, and Airflow (or similar orchestration tools).
• Solid understanding of data modeling and lakehouse architectures (e.g., Iceberg).
• Experience with AWS, Azure, or GCP.
• Willingness to participate in a rotating on‑call schedule.
• Experience working with Snowflake, Databricks, Trino, OLAP/NRT systems, and BI tools like Superset or Tableau.
• Familiarity with CI/CD, data observability, and infrastructure‑as‑code.
• Exposure to MLOps and GenAI/RAG pipelines.
• Hands‑on experience with large language models (prompt engineering, fine‑tuning, RAG).
• Background in FinTech, Wallet, or Payments domains.
Compensation: $55-$60/hour
Contract: 6 months
Data Foundations Engineer
The Data Foundations Engineer is responsible for designing and scaling modern data architectures that power Wallet, Payments, and Commerce products. This role focuses on building high‑performance data pipelines, enabling analytics and machine learning use cases, and applying strong fundamentals in data modeling and scalable systems.
Key Responsibilities
Data Engineering & Architecture
• Design and implement scalable batch and near‑real‑time data pipelines.
• Develop high‑performance, cost‑optimized ETL/ELT workflows.
• Implement dimensional data models and standardize core business metrics.
• Instrument APIs and user journeys to collect behavioral and transactional data.
Data Governance & Quality
• Ensure data integrity, governance, privacy, and regulatory compliance.
• Maintain reliability, scalability, and high availability of mission‑critical systems.
Required Skills & Experience
• Strong proficiency in SQL.
• Experience with Python, Scala, or Java.
• Hands‑on experience with Spark, Kafka, and Airflow (or similar orchestration tools).
• Solid understanding of data modeling and lakehouse architectures (e.g., Iceberg).
• Experience with AWS, Azure, or GCP.
• Willingness to participate in a rotating on‑call schedule.
• Experience working with Snowflake, Databricks, Trino, OLAP/NRT systems, and BI tools like Superset or Tableau.
• Familiarity with CI/CD, data observability, and infrastructure‑as‑code.
• Exposure to MLOps and GenAI/RAG pipelines.
• Hands‑on experience with large language models (prompt engineering, fine‑tuning, RAG).
• Background in FinTech, Wallet, or Payments domains.
Compensation: $55-$60/hour
Contract: 6 months
