Data Analyst with E-commerce
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 3–6+ years of e-commerce experience, focusing on building ETL/ELT pipelines and managing large-scale data. Contract length is 6+ months, with a pay rate of "unknown," and remote work is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 4, 2025
🕒 - Project duration
More than 6 months
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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
#BI (Business Intelligence) #Data Quality #Data Storage #Python #BigQuery #SQL (Structured Query Language) #AWS (Amazon Web Services) #Storage #Data Science #Redshift #Scala #Spark (Apache Spark) #GCP (Google Cloud Platform) #Data Analysis #Security #Azure #Programming #Snowflake #Data Engineering #Data Processing #dbt (data build tool) #Airflow #Cloud #CRM (Customer Relationship Management) #"ETL (Extract #Transform #Load)" #Synapse #Data Governance #Data Pipeline #Datasets #Kafka (Apache Kafka) #Java
Role description
Job Description –
Position: Data Engineer – E-Commerce
Location: Remote (preferred EST/CST) or Onsite (as per client requirement)
Start Date: ASAP
Duration: 6+ months contract (possible extension/CTH)
Role Overview
We are seeking a Data Engineer with proven experience in the e-commerce domain to design, develop, and optimize data pipelines and integration frameworks. The ideal candidate will have strong expertise in handling large-scale transactional data, building ETL/ELT pipelines, and working closely with analytics and business teams to deliver insights that drive customer experience and revenue.
Key Responsibilities
• Design, build, and maintain scalable data pipelines for e-commerce applications.
• Integrate and manage data from multiple sources (transactional systems, clickstream, ERP, CRM, etc.).
• Work with cloud platforms (AWS / Azure / GCP) for data storage, transformation, and orchestration.
• Optimize data models to support BI dashboards, personalization, recommendation engines, and marketing analytics.
• Collaborate with Data Scientists and Analysts to enable predictive and prescriptive analytics.
• Ensure data quality, governance, and security across all systems.
• Troubleshoot performance bottlenecks and improve data processing efficiency.
Required Skills & Experience
• 3–6+ years of experience as a Data Engineer.
• Proven expertise with SQL and at least one programming language (Python/Scala/Java).
• Hands-on experience with ETL/ELT pipelines and orchestration frameworks (Airflow, dbt, or similar).
• Strong knowledge of cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake).
• Experience working with e-commerce datasets (orders, products, customers, transactions, clickstream).
• Familiarity with streaming frameworks (Kafka, Kinesis, Spark Streaming) is a plus.
• Understanding of data governance, quality frameworks, and performance tuning.
Job Description –
Position: Data Engineer – E-Commerce
Location: Remote (preferred EST/CST) or Onsite (as per client requirement)
Start Date: ASAP
Duration: 6+ months contract (possible extension/CTH)
Role Overview
We are seeking a Data Engineer with proven experience in the e-commerce domain to design, develop, and optimize data pipelines and integration frameworks. The ideal candidate will have strong expertise in handling large-scale transactional data, building ETL/ELT pipelines, and working closely with analytics and business teams to deliver insights that drive customer experience and revenue.
Key Responsibilities
• Design, build, and maintain scalable data pipelines for e-commerce applications.
• Integrate and manage data from multiple sources (transactional systems, clickstream, ERP, CRM, etc.).
• Work with cloud platforms (AWS / Azure / GCP) for data storage, transformation, and orchestration.
• Optimize data models to support BI dashboards, personalization, recommendation engines, and marketing analytics.
• Collaborate with Data Scientists and Analysts to enable predictive and prescriptive analytics.
• Ensure data quality, governance, and security across all systems.
• Troubleshoot performance bottlenecks and improve data processing efficiency.
Required Skills & Experience
• 3–6+ years of experience as a Data Engineer.
• Proven expertise with SQL and at least one programming language (Python/Scala/Java).
• Hands-on experience with ETL/ELT pipelines and orchestration frameworks (Airflow, dbt, or similar).
• Strong knowledge of cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake).
• Experience working with e-commerce datasets (orders, products, customers, transactions, clickstream).
• Familiarity with streaming frameworks (Kafka, Kinesis, Spark Streaming) is a plus.
• Understanding of data governance, quality frameworks, and performance tuning.
