> Markdown version of [/jobs/ext/2112498-sr-data-modeler](https://www.wearedevelopers.com/jobs/ext/2112498-sr-data-modeler). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Modeler - **Company:** Republic Services - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Salary:** $109,500.0 - $150,600.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Software Quality, Databases, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mining, Data Structures, Data Warehousing, IBM DB2, Relational Databases, R (Programming Language), JSON, Python (Programming Language), Knowledge Management, Machine Learning, Microsoft SQL Server, NoSQL, Oracle (Applications), SAS (Software), Service-Oriented Architecture, Software Requirements Analysis, Data Streaming, Systems Architecture, Web Services, Extensible Markup Language (XML), Enterprise Data Management, Data Processing, Freeform SQL, Data Ingestion, Snowflake, Apache Spark, Data Lakes, Information Technology, AWS Glue, Data Analytics, Star Schema, Apache Kafka, Search Engines, Tools for Reporting, Virtual Agents, Functional Programming, Software Version Control, Data Pipelines, Microservices - **Published:** August 19, 2026 - **Apply:** https://www.juju.com/job/00000000gnub73 ## About the Role + Experience adopting and championing AI-assisted development practices within a team, including establishing guardrails for responsible use, and coaching engineers to use AI assistance effectively without compromising code quality or security standards + 5+ years' experience with data modeling tools like sqlDBM, ERWIN, Lucid + 7+ years of experience in Enterprise Information Solution Architecture, Design, and development required. + 7+ years of experience with integration architectures such as SOA, Microservices, ETL or other integration technologies. + 7+ years of experience with working content or knowledge management systems, search engines, relational databases, NoSQL databases, ETL tools, geospatial systems, or semantic technology. + Experience adopting and championing AI-assisted development practices within a team, including establishing guardrails for responsible use, and coaching engineers to use AI assistance effectively without compromising code quality or security standards + 5+ years of hands-on experience with AWS services ( S3, Kinesis, Lambda, Athena, Glue, EMR) required. + 5+ years of analytics tools like SAS, R, Python, and other advanced statistical software. + Experience with JSON or XML data modeling required. + Experience with Git/GitHub, branching, and other modern source code management methodologies required. + Domain knowledge of NoSQL or relational database required. + Understanding of database architecture and performance implications required. Experience with Machine Learning and Artificial Intelligence. + Ability to multi-task effectively. + Ability to work collaboratively as part of an Agile Team. + Extensive knowledge and experience with Python, JavaScript and Java. + Excellent written and verbal communication skills, sense of ownership, urgency and drive. MINIMUM QUALITIFICATIONS: + Bachelor's degree in computer science, Computer Information Systems, Engineering, Statistics or closely related field (willing to accept foreign education equivalent) (required). + Experience in AWS services for data and analytics (required). + 5 years of experience in Data Ingestion, Data Extraction, and Data Integration (required). ## Description The Sr. Data Engineer / Data Modeler is a hands-on technical role focused on full stack development within the Enterprise Data organization. The role will pay curtail part in shaping future big data and analytics initiatives., + Design and implement Medallion Architecture, dimensional models (Star/Snowflake schemas), and metadata-driven modeling approaches for enterprise data warehouses + Develop canonical and semantic data models with effective SCD handling techniques that align with business requirements and analytical needs + Write and optimize advanced SQL queries in Snowflake (or similar platforms) to ensure efficient data processing and warehouse performance + Align data models with ELT/ETL pipelines and analytics frameworks to create scalable data structures that grow with business demands + Designs and develops code and data pipelines to ingest from relational databases (Oracle, SQL Server, DB2, Aurora), file shares, and web services. + Streaming ingestion with Kinesis Streams, Kinesis Firehose, Kinesis Analytics and Kafka(MSK) + Build Data Lake on AWS S3 with optimal performance considerations by partitioning and compressing data. + Data Engineering and Analytics using AWS Glue, Informatica, EMR, Spark, Athena, Python. + Data modeling and building Data Warehouse using Snowflake. + Designs and develops code and data pipelines to ingest relational databases, file shares, and web services. + Participates in requirements definition, system architecture design, and data architecture design. + Participates in all aspects of the software life cycle using Agile development methodologies., We are proud of our high employee engagement score of 86. We have an inclusive and diverse culture where every voice counts. In addition, our team positively impacted 5.1 million people in 2024 through the Republic Services Charitable Foundation and local community grants. These projects are designed to meet the specific needs of the communities we serve, with a focus on building sustainable neighborhoods. STRATEGY Republic Services' strategy is designed to generate profitable growth. Through acquisitions and industry advancements, we safely and sustainably manage our customers' multiple waste streams through a North American footprint of vertically integrated assets. We focus on three areas of growth to meet the increasing needs of our customers: recycling and waste, environmental solutions and sustainability innovation. With our integrated approach, strengthening our position in one area advances other areas of our business. For example, as we grow volume in recycling and waste, we collect additional material to bolster our circularity capabilities. And as we expand environmental solutions, we drive additional opportunities to provide these services to our existing recycling and waste customers. Recycling and Waste We continue to expand our recycling and waste business footprint throughout North America through organic growth and targeted acquisitions. The 13 million customers we serve and our more than 5 million pick-ups per day provide us with a distinct advantage. We aggregate materials at scale, unlocking new opportunities for advanced recycling. In addition, we are cross-selling new products and services to better meet our customers' specific needs. Environmental Solutions Our comprehensive environmental solutions capabilities help customers safely manage their most technical waste streams. We are expanding both our capabilities and our geographic footprint. We see strong growth opportunities for our offerings, including PFAS remediation, an increasing customer need. Sustainability Innovation Republic's recent innovations to advance circularity and decarbonization demonstrate our unique ability to leverage sustainability as a platform for growth. The Republic Services Polymer Center is the nation's first integrated plastics recycling facility. These innovative sites process rigid plastics from our recycling centers, producing recycled materials that promote true bottle-to-bottle circularity. We also formed Blue Polymers, a joint venture with Ravago, to develop facilities that will further process plastic material from our Polymer Centers to help meet the growing demand for sustainable packaging. We are building a network of Polymer Centers and Blue Polymer facilities across North America. Our customers are increasingly looking for decarbonization solutions, and we are leveraging our network of landfills to meet that need. Republic is committed to harnessing landfill gas, a natural byproduct of decomposing waste, and converting it to energy. Republic has partnered with renewable gas developers to construct Renewable Natural Gas (RNG) plants at our landfills, expanding beyond the 77 projects we currently have to make progress towards our goal to beneficially reuse 50% more biogas by 2030 (2017 baseline year). ## Related Videos - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)