Senior AI / Data Engineer
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Job Description
Senior AI/Data Engineer designing and maintaining data and AI infrastructure for Order.co's innovative B2B commerce solutions. Collaborating with cross-functional teams to enable intelligent decision-making.
Responsibilities:
- Design, build, and maintain scalable data pipelines, integrations, and AI workflows
- Develop reliable and maintainable ETL/ELT systems that support analytics, operational reporting, and AI-driven products
- Contribute to the architecture and evolution of the company’s data platform and AI infrastructure
- Continuously optimize data architecture to support evolving business and product requirements
- Develop infrastructure automation and deployment workflows to improve engineering velocity and operational consistency
- Implement infrastructure as code (IaC) practices using tools such as Terraform or CloudFormation
- Build and maintain CI/CD pipelines and automated testing workflows
- Develop monitoring, alerting, and observability solutions for data and AI systems
- Improve reliability, scalability, and operational efficiency through automation
- Contribute to production-ready AI systems and workflows where they provide measurable business value
- Mentor junior and mid-level engineers through code reviews, pairing, and technical guidance
Requirements:
- Strong proficiency in Python and SQL
- Hands-on experience with data orchestration tools (preferably Airflow, Dagster, or AWS Step Functions)
- Proven experience building and operating AWS cloud infrastructure, particularly services such as Lambda, ECS, and SQS
- Experience implementing infrastructure as code using Terraform or similar tooling
- Strong experience designing event-driven, serverless architectures using AWS Lambda, API Gateway, EventBridge, and SQS/SNS
- Hands-on experience working with large-scale data platforms in production environments (preferably Spark/PySpark, AWS Glue, or EMR)
- Strong understanding of AWS data lake technologies including S3, Glue Catalog, and Lake Formation
- Hands-on experience with cloud data warehouses (preferably Snowflake) including schema design, performance tuning, cost optimization, and access control
- Experience designing and maintaining reliable ETL/ELT pipelines and distributed data workflows
- Hands-on experience with SQL-based transformation frameworks such as dbt (Core or Cloud)
- Familiarity with CI/CD systems and tooling such as GitHub Actions or CircleCI
- Understanding of observability, monitoring, and operational best practices for data systems
- Strong understanding of data security, access controls, and protecting sensitive data
- Experience building automation and operational tooling using Python or similar languages
- Familiarity with production AI/ML workflows and operational considerations for AI-enabled systems
- Experience using AI-assisted engineering tools (e.g., Claude Code, Codex, GitHub Copilot) responsibly to improve productivity and engineering quality
Benefits:
- Competitive compensation including base salary, bonus, and equity
- Employer-sponsored 401(k) with match
- Comprehensive medical, dental, and vision coverage
- Flexible time off and hybrid work environment
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