Engineering jobs in United States

We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.

You will be responsible for architecting and building robust data pipelines, data contracts, and processing frameworks that power analytics and ML features across Foodics. You’ll work closely with ML Engineers and platform teams to ensure the reliability, scalability, and governance of our data infrastructure.

• Design and implement scalable ETL/ELT pipelines using cloud-native tools.
• Define and enforce data contracts with domain squads and internal consumers.
• Collaborate with ML Engineers on feature engineering and model‑ready datasets.
• Build monitoring, alerting, and observability into the data infrastructure.
• Ensure data security, lineage, and compliance with internal standards.
• Contribute to onboarding toolkits and reusable data components.

• 5+ years of experience in data engineering, with a track record in scalable pipelines.
• Strong command of Python, SQL, and orchestration tools (e.g., Airflow, AWS Glue, Step Functions).
• Experience with modern Lakehouse architecture and tools (e.g., S3, Redshift, Snowflake, dbt).
• Deep understanding of data modeling, lineage, observability, and governance frameworks. (e.g., dimensional modeling, normalized vs. denormalized structures, schema evolution, ML feature stores)
• Familiarity with ACID‑compliant data formats such as Apache Iceberg, Delta Lake, or Apache Hudi, and experience managing large‑scale datasets with time travel, schema evolution, and transactional guarantees.
• Experience building fault‑tolerant, testable, and maintainable pipelines in production environments.
• Proven ability to work in cross‑functional teams, collaborating with ML Engineers, Analysts, and Product Managers.
• Familiar with CI/CD and infrastructure‑as‑code (Terraform/CDK preferred).
• Strong communication skills and a mindset focused on documentation, standards, and continuous improvement.

• Candidates with knowledge of MLOps integration and streaming technologies (e.g., Kafka, Kinesis).

• We have an inclusive and diverse culture that encourages innovation.
• We offer highly competitive compensation packages, including bonuses and the potential for shares.
• We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper‑growth environment.
• Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry.
• We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.