Data Engineer

Liquidity Services

Senior Data Engineer designing and implementing scalable data solutions for the e-commerce industry. Involves data pipeline creation and collaboration across teams with cloud platforms.

Posted 7/25/2026full-timeRemote • California • 🇺🇸 United StatesSeniorLead💰 $135,700 - $152,650 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines, ensuring data quality and security while optimizing workflows in cloud environments. Proficient in leveraging cloud platforms and data transformation tools to support analytics and business intelligence initiatives.

Highest-signal resume keywords

AWSAzureGoogle BigQuerySQLPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentETL Pipeline BuildingData TransformationData NormalizationData AggregationData GovernanceData SecurityDistributed SystemsBig Data TechnologiesRESTful APIs

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

SparkRedshiftHadoopKafka

Industry Keywords

E-Commerce DataWeb AnalyticsTransactional Data

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudDistributed SystemsETLHadoopKafkaPythonSparkSQL

About the role

Key responsibilities & impact

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.
Leverages 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.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or related field
Minimum of 8+ years of experience working in a large-scale organization
Proven experience with AWS, Azure, and BigQuery for data storage and processing.
Strong proficiency in SQL, Python, and data transformation tools is a must.
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 industry data, including web analytics and transactional data.
Knowledge of data modeling, normalization, and aggregation techniques.
Experience with distributed systems and big data technologies (e.g., Spark, Redshift, Hadoop).
Solid understanding of data governance, security, and compliance in cloud environments.
Exposure to real-time data processing and streaming platforms (e.g., Kafka).

Benefits

Comp & perks

Competitive wages
Healthcare (medical, dental, vision, prescription drugs, FSAs)
401(k) plan
Paid time off (PTO) and holidays
Paid parental leave
Life and disability insurance
Employee Assistance Program (EAP)
Professional development and tuition assistance