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HungerRush

HungerRush

via Breezy

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Senior Data Engineer

Anywhere
Full-time
Posted 12/5/2025
Direct Apply
Key Skills:
Data Engineering
SQL
ETL
ELT
Azure Data Factory
Databricks
Data Modeling
Python
Cloud Data Architectures
AI
Machine Learning
Data Quality
Data Pipelines
Performance Tuning
Data Aggregation
Event Ingestion

Compensation

Salary Range

$Not specified

Responsibilities

The Senior Data Engineer will design and build ETL/ELT pipelines to consolidate data across multiple SQL databases and services, ensuring high data quality and reliability. They will collaborate with product and AI teams to create AI-ready datasets and participate in architectural decisions for the reporting platform.

Requirements

Candidates should have 4+ years of experience as a Data Engineer with strong SQL expertise and proven experience in building data pipelines using tools like Azure Data Factory. Familiarity with cloud data architectures and solid programming skills in Python are also required.

Full Description

Who We Are HungerRush is a leading provider of integrated restaurant technology solutions. HungerRush 360 is our flagship cloud POS system that makes it easier to delight guests, drive loyalty, and manage restaurants from anywhere. The all-in-one system integrates digital ordering (including AI-powered text and talk ordering), delivery management, customer engagement, restaurant management, and payment processing features with flexible software designed to give operators more insight into their customers, more control over their operations, and more power to profitably grow their business. Learn more at www.hungerrush.com. Overview 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. Essential Responsibilities and Duties 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. Qualifications 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). Preferred Qualifications and Skills 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. What Success Looks Like A unified, scalable reporting data layer supporting global aggregation. Data pipelines that are reliable, observable, and well documented. AI-ready datasets enabling intelligent recommendations and insights. Reports and analytics features that load significantly faster and scale globally. Why Join HungerRush? 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. Additional Details This position is open to candidates who are authorized to work in the United States, without sponsorship, either now or in the future. At this time, and in the foreseeable future, HungerRush is not able to support assistance with additional visa sponsorship, regarding this specific position. Disclaimer: This Job Description indicates the general nature and level of work expected of the incumbent(s). It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent. Incumbent(s) may be asked to perform other duties in addition to those described above. HungerRush is an Equal Opportunity Employer and does not unlawfully discriminate on the basis of any status or condition protected by applicable federal, state, or local municipal law.

This job posting was last updated on 12/6/2025

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