Senior Data Engineer

HungerRush • Houston, TX

17d • Remote

About The Position

We are rebuilding our reporting and analytics platform with the goal of delivering scalable global reporting, fast multi-source aggregations, and AI-driven insights. We are looking for a Senior Data Engineer who can design and build the next-generation data foundation powering both customer-facing reports and internal AI-driven recommendations. In this role, you will design data models, build ETL/ELT pipelines, integrate SQL-based data sources, and help create AI-ready datasets. You will partner closely with product, AI/ML engineers, and backend teams to ensure our data is clean, consistent, and optimized for analytical and AI experiences. This is a remote role.

Requirements

• 4+ years experience as a Data Engineer or similar role.
• Strong SQL expertise, including performance tuning and complex transformations.
• Proven experience building data pipelines (ETL/ELT) using tools such as Azure Data Factory, Databricks, Synapse, or similar.
• Experience with at least one distributed analytics engine (ADX, Snowflake, BigQuery, Redshift, etc.).
• Strong data modeling experience (star schema, dimensional modeling, or equivalent).
• Experience integrating multiple heterogeneous data sources.
• Solid programming skills in Python (or another scripting language).
• Familiarity with cloud data architectures (Azure preferred).

Nice To Haves

• Experience preparing or modeling datasets for ML/AI applications.
• Knowledge of semantic modeling tools (dbt, Cube, semantic layers in BI platforms).
• Experience with LLMs, vector databases, RAG systems, or AI analytics pipelines.
• Experience with CI/CD for data pipelines (GitHub Actions, Azure DevOps, etc.).
• Experience with event ingestion (Kafka, EventHub) is a plus.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines to consolidate data across multiple SQL databases and services.
• Implement ingestion and aggregation flows into Azure Data Explorer (ADX) or other analytical data stores.
• Develop high-performance aggregated tables and models used by customer-facing reports and dashboards.
• Collaborate on a semantic data layer to make data consistent and consumable by AI/LLM-powered features.
• Ensure high data quality, lineage, observability, and reliability across the data platform.
• Work with product and AI teams to build datasets optimized for recommendations, anomaly detection, or LLM reasoning.
• Optimize query performance, storage layout, indexing/partitioning strategies, and ingestion throughput.
• Participate in architectural decisions for the evolution of the reporting platform.
• Enable self-service analytics by modeling datasets with clear metrics and dimensions.

Benefits

• Work on a team building mission-critical data and reporting capabilities used by thousands of restaurants.
• Work with modern data and cloud technologies, driving meaningful architectural impact.
• Collaborative environment that values innovation, ownership, and engineering excellence.
• Opportunities for growth as we scale our platform, datasets, and customer-facing analytics experiences.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees