[Hiring] Sr. Data Modeler @Republic Services
Sr. Data Modeler @Republic Services
Data and Analytics
Salary unspecified
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 2d ago

[Hiring] Sr. Data Modeler @Republic Services

2d ago - Republic Services is hiring a remote Sr. Data Modeler. πŸ’Έ Salary: unspecified πŸ“Location: USA

Role 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 play a crucial 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.
  • Design and develop code and data pipelines to ingest from relational databases (Oracle, SQL Server, DB2, Aurora), file shares, and web services.
  • Implement 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.
  • Engage in Data Engineering and Analytics using AWS Glue, Informatica, EMR, Spark, Athena, and Python.
  • Model data and build Data Warehouse using Snowflake.
  • Participate in requirements definition, system architecture design, and data architecture design.
  • Engage in all aspects of the software life cycle using Agile development methodologies.

Qualifications

  • 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.
  • 5+ years of hands-on experience with AWS services (S3, Kinesis, Lambda, Athena, Glue, EMR) required.
  • 5+ years of experience with 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.

Requirements

  • 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).

Benefits

  • Comprehensive medical benefits coverage, dental plans, and vision coverage.
  • Health care and dependent care spending accounts.
  • Short- and long-term disability.
  • Life insurance and accidental death & dismemberment insurance.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Employee Stock Purchase Plan (ESPP).
  • Paid Time Off (PTO).
Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Sr. Data Modeler @Republic Services
Data and Analytics
Salary unspecified
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 2d ago
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️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Applied βœ“
Sent Follow-Up βœ“
Interview Scheduled βœ“
Interview Completed βœ“
Offer Accepted βœ“
Offer Declined βœ“
Application Denied βœ“
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