AI Ops Data Engineer - Hybrid jobs in United States
cer-icon
Apply on Employer Site
company-logo

Commerce · 1 hour ago

AI Ops Data Engineer - Hybrid

Commerce is a company focused on empowering businesses with an AI-driven commerce ecosystem. They are seeking a Data Engineer to support the AI Operations team in building data foundations for automation and analytics, ensuring reliable data for AI workflows.

B2BE-CommerceOnline Portals
check
H1B Sponsor Likelynote

Responsibilities

Design and maintain data lake architectures that support AI Operations workflows, analytics, and automation
Build and optimize ETL/ELT pipelines to ingest raw data from internal and external tools (e.g., Salesforce, Crossbeam, marketing platforms) into Snowflake and other structured data stores
Partner with Business Analysts to translate business requirements into scalable, production-ready data solutions
Collaborate with Automation Specialists to connect data pipelines with workflow automation requests, custom GPTs, and AI assistant integrations
Support Full Stack Engineers by developing and maintaining the MCP Server (Message/Command/Processing layer) that connects data services with internal tools and systems
Work with Business Analysts to validate data quality and ensure accuracy across key datasets and workflows
Develop and maintain Snowflake data warehouse models, ensuring datasets are structured, governed, and optimized for AI use cases
Troubleshoot and resolve data ingestion issues, recommending improvements to infrastructure, processes, and tools
Monitor and maintain all data workflows within the AI Operations ecosystem, ensuring performance, reliability, and scalability

Qualification

Data EngineeringSQLPythonSnowflakeETL/ELT PipelinesAWSGCPData Lake ConceptsAirflowLinux Command-LineCollaborationProblem SolvingAdaptability

Required

3+ years of experience in data engineering, data warehousing, or related fields
Strong SQL and Python skills, with hands-on experience building ETL/ELT pipelines (Airflow experience a plus)
Skilled in Snowflake or similar cloud data warehouses (BigQuery, Redshift) and familiar with data lake concepts and best practices
Passionate about building AI-driven products and automation systems that transform how teams operate and make decisions
Comfortable working within AWS, GCP, or similar environments; familiar with Linux command-line operations
Works effectively across teams, partnering with analysts, engineers, and automation specialists to build high-impact solutions
Passionate about AI and eager to explore practical ways to enable automation through data
Analytical and detail-oriented, capable of diagnosing complex data issues and driving process improvements
Thrives in a fast-paced, evolving environment with shared ownership and cross-functional support
3 Days per week in office

Company

Commerce

twittertwittertwitter
company-logo
Commerce (Nasdaq: CMRC) empowers businesses to innovate, grow, and thrive through an open, AI-driven commerce ecosystem.

H1B Sponsorship

Commerce has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2023 (2)
2022 (7)
2021 (2)
2020 (5)

Funding

Current Stage
Late Stage
Total Funding
$70.5M
Key Investors
GE Capital
2000-04-19Series C· $63M
2000-02-01Private Equity· $7.5M
Company data provided by crunchbase