Senior Data Engineer - Remote Cloud Data Pipelines & APIs

Liquidity Services, Inc.; United States; On-site; USD 136,000 - 153,000; Full time

Benefits offered by this job

401(k) plan

Paid time off (PTO) and holidays

Paid parental leave

Life and disability insurance

Employee Assistance Program (EAP)

Professional development and tuition

Job summary

Liquidity Services, Inc. seeks a Senior Data Engineer to design and maintain scalable data pipelines for large datasets, leveraging cloud platforms like AWS, Azure, and Google BigQuery.

The role emphasizes API-based data access, data quality, and security across the data lifecycle. You will collaborate with cross-functional teams to deliver data-driven insights, optimize workflows for performance and cost, and work with e‑commerce data, web analytics, and transactional data in a remote-capable

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 8+ years of experience in a large-scale organization.
• Proven experience with AWS, Azure, and BigQuery for data storage and processing.
• Strong proficiency in SQL and Python.
• Hands-on experience in building ETL pipelines, data orchestration frameworks, and RESTful APIs.
• Experience handling large-scale datasets and optimizing data workflows.
• Familiarity with e-commerce data, including web analytics and transactional data.
• Knowledge of data modeling, normalization, and aggregation techniques.

Responsibilities

• Design, develop, and maintain data pipelines to process and transform large volumes of data efficiently.
• Normalize and aggregate data across multiple cloud platforms, including AWS, Azure, and Google BigQuery.
• Leverage APIs for data access and integration with internal and external systems.
• Work with web and transactional data to support analytics and business intelligence initiatives.
• Ensure data quality, integrity, and security across all stages of the data lifecycle.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
• Optimize data workflows for performance and cost efficiency in cloud environments.

Skills

AWS

Azure

BigQuery

SQL

Python

ETL pipelines

Data orchestration

RESTful APIs

Spark

Redshift

Hadoop

Kafka

Data modeling

Normalization

Aggregation

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Kafka

BigQuery

Job description

Liquidity Services, Inc. seeks a Senior Data Engineer to design and maintain scalable data pipelines for large datasets, leveraging cloud platforms like AWS, Azure, and Google BigQuery.

The role emphasizes API-based data access, data quality, and security across the data lifecycle. You will collaborate with cross-functional teams to deliver data-driven insights, optimize workflows for performance and cost, and work with e‑commerce data, web analytics, and transactional data in a remote-capable