Data Engineer II, SPIV Data Engineering
Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Sep 30, 2026.
Selling Partner Identity Verification is working to identify and prevent fraudulent behavior through all stages of a seller's lifecycle. We are seeking an experienced and highly skilled Data Engineer to join our team and help us build and manage the Data for the data domains within the Selling Partner Identity Verification space. As a Level 5 Data Engineer, you will play a crucial role in designing, implementing, and maintaining our data infrastructure and pipelines. You will work closely with cross-functional teams to deliver scalable and efficient data solutions that drive business value.
Key job responsibilities
You will lead the design and implementation of data pipelines to support the analytical and operational needs of Selling Partner Identity Verification.
You will design and develop scalable, high-performance data systems using modern data platforms and technologies.
You are expected to collaborate with data scientists, analysts, and business stakeholders to understand data requirements and implement appropriate solutions.
Optimize data storage and retrieval systems for improved performance and cost-effectiveness.
Implement data quality checks and monitoring systems to ensure data integrity and reliability.
Mentor junior engineers and provide technical leadership on data engineering best practices and methodologies.
Evaluate and recommend new technologies and tools to enhance our data infrastructure capabilities.
Contribute to the development of data governance policies and procedures.
Troubleshoot and resolve complex data-related issues in production environments.
A day in the life
A Data Engineer II on SPIV starts their day by syncing with the team on data pipeline status, checking for any overnight failures in ETL jobs processing seller identity verification data. They collaborate with data scientists, software engineers, stakeholders to understand new program launches, fraud detection requirements, then design and implement scalable data models using medallion architecture to support these use cases.
About the team
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.
Basic qualifications
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Preferred qualifications
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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