Data Engineer II

Ziff Davis Shopping

139d • $115,000 - $130,000

About The Position

As a Data Engineer at Ziff Davis Shopping, you’ll help drive the evolution of our data architecture, enabling data-informed experiences across our diverse portfolio from Retailmenot.com, VoucherCodes.co.uk, Offers.com, BlackFriday.com, and more.

Requirements

• 5+ years of data or application engineering experience, with strong proficiency in SQL and Python scripting.
• 3+ years of experience in cloud platforms ideally AWS.
• Worked with Airflow (2+ years) and Snowflake (2+ years).
• Experienced with RDBMS technologies such as MySQL, Redshift, and Snowflake.
• Solid grasp of computer science fundamentals, data structures, algorithms, and design patterns.
• Familiar with engineering workflows using tools like Git, JIRA, and CI/CD, and understand DevOps practice.
• Built systems capable of processing large-scale data and are comfortable in distributed environments.
• Experience with BI/reporting implementations and modeling semantic layers.
• Demonstrate strong communication skills, with the ability to document technical designs clearly.
• Collaborative, eager to both teach and learn, and committed to maintaining high-quality standards.

Nice To Haves

• Containerisation experience with Docker and Kubernetes.
• Hands-on experience with PySpark for scalable data pipelines.
• Familiarity with dbt for data transformation and modelling.
• Exposure to Fivetran or similar ingestion tools.
• Knowledge of AWS services such as S3, SQS, SNS, and Athena.

Responsibilities

• Build & lead the design and implementation of scalable data pipelines and ETL frameworks.
• Collaborate with technology, analytics, and product teams to define data capture strategies, build end-to-end solutions, and validate their reliability.
• Maintain and evolve data APIs to support both existing and greenfield product initiatives.
• Architect and model data for reporting, analytics, and semantic-layer consumption.
• Implement proactive data quality checks and monitoring systems to safeguard data integrity.
• Support BI solutions, ensuring coherent semantic models are available for analysis and reporting.
• Integrate emerging technologies into our data stack, keeping our infrastructure modern and competitive.
• Collaborate cross-functionally with engineering teams to deliver complex, high-quality features.
• Design and validate test cases alongside QA/test management to guarantee reliability.
• Provide operational support, including participation in on-call rotations and production troubleshooting.

Benefits

• Comprehensive medical, dental, and vision coverage.
• Life and disability benefits.
• Flexible Spending Accounts (FSAs).
• 401(k) with company match.
• Employee Stock Purchase Plan.
• Flexible Time Off.
• Volunteer Time Off.
• Paid holidays.
• Family building and caregiving support.
• Generous Family Care and Parental leave.
• Fitness Reimbursement.
• Access to wellness programs.
• Employee Resource Groups.
• Company-sponsored events.
• Professional growth through educational support, mentorship programs, and career development resources.
• Employee engagement programs and recognition awards.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees