Job Description

This is a hybrid role requiring 3 days a week in office.

You must be work authorized in the United States without the need for employer sponsorship.

Must have Ad Tech / MarTech industry experience, specifically in e-commerce, travel, and finance.

We are seeking a Data Engineer to design, build, and maintain scalable data platforms, pipelines, and infrastructure that support analytics, AI/ML, reporting, operational systems, and enterprise data products across the organization. This role will work across cloud platforms, data ingestion frameworks, and modern lake house architectures to deliver reliable, secure, and governed data solutions that enable business, product, engineering, and data teams.

Responsibilities

What you will be doing:

• Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, SQL, and Spark-based technologies.
• Serve as an advocate for AI-native engineering workflows, demonstrating how tools such as Claude Code, Codex, GitHub Copilot, Databricks Genie and related assistants can improve developer productivity, code quality, and operational efficiency.
• Build and support data ingestion frameworks leveraging APIs, SFTP, cloud storage, databases, and third-party integrations.
• Develop and maintain data products within a modern Data Lakehouse architecture, following Medallion (Raw, Bronze, Silver, Gold) design principles.
• Create and optimize data workflows, orchestration processes, and monitoring solutions to ensure pipeline reliability, performance, and scalability.
• Manage cloud-based data infrastructure and storage solutions across platforms such as Databricks, AWS, Snowflake, and Google Cloud.
• Build operational tooling and monitoring dashboards to track pipeline health, resource utilization, uptime, and system performance.
• Collaborate with Data Science, Analytics, Product, and Engineering teams to deliver trusted and scalable data assets.
• Maintain source control, CI/CD processes, repository standards, and deployment best practices across data platforms.

Qualifications

What we look for:

• 3-5 years of experience in Data Engineering, Analytics Engineering, or related disciplines.
• Experience with cloud-based data platforms such as Databricks, AWS, Snowflake, or Google Cloud.
• Familiarity with integrating AI and automation tools (e.g., GitHub Copilot, Natural Language Query tools) to enable you to move faster and deliver higher quality code.
• Strong proficiency in SQL and Python.

Additional Information

This is a hybrid role requiring 3 days a week in office.

Compensation Range: USD $ - . This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/1/2026.