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Sr. Data Modeler

Job in Addison, Dallas County, Texas, 75001, USA
Listing for: Elevate
Full Time position
Listed on 2026-04-22
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

General Summary

Under the supervision of the Manager of Analytics, the Senior Developer works with developers, business analysts, and business partners in a fast-paced delivery environment for data and analytics. The Senior Developer is responsible for designing, building, and optimizing enterprise-grade data pipelines, analytical data models, and machine-learning–ready datasets within our Snowflake ecosystem. This role serves as a bridge between Data Engineering, Analytics, and Data Science, enabling high-quality insight creation and data-driven innovation across the organization.

The Senior Developer has deep experience with modern cloud data platforms, advanced SQL development, data modeling, AI/ML integration, and business intelligence solutions.

Principal Duties And Responsibilities
  • Design, build, and maintain scalable data pipelines, transformations, and models in Snowflake, ensuring performance, reliability, and optimal storage patterns.
  • Collaborate closely with Analytics and Data Science teams to enable advanced analytics, experimentation frameworks, and model monitoring.
  • Advanced data design, analysis, and profiling.
  • Understand, create and implement process design and target data models.
  • Partner with business stakeholders, data scientists, and analysts to translate requirements into well-governed datasets and analytical assets.
  • Develop, test, debug, and document data structures, data schemas, and data processes.
  • Address performance or data quality issues.
  • Data mining, auditing, aggregation, validation, and reconciliation.
  • Support operational excellence through monitoring, automated testing, CI/CD deployment practices, and Data Ops principles.
  • Agile ceremonies:
    Code reviews, Sprint Reviews/Commitments, Sprint planning.
Experience
  • Bachelor’s Degree in Computer Science, MIS, Mathematics or related field.
  • 6+ years of professional experience in data engineering in data warehouse, big data, and analytics areas.
  • Expertise with ETL, ELT and streaming data pipelines and related tools and technologies.
  • 3+ years of hands‑on experience using Snowflake or other relational data stores.
  • Advanced experience with semi‑structured document processing such as XML & JSON.
  • Advanced experience with programming and scripting using bash, Python, Perl, etc.
  • Must be knowledgeable of data warehouse concepts including the use of dimensional modeling and schema designs.
  • Advanced experience with performance tuning of SQL queries.
  • Thorough understanding of systems analysis and design, SDLC.
  • Ability to analyze complex applications and systems with minimal supervision.
  • Strong problem‑solving skills.
  • Excellent communication skills.
  • Experience with CI/CD (Azure Dev Ops preferred), version control, and automated deployment frameworks.
  • Prior work in fintech, risk analytics, consumer lending, or highly regulated environments is strongly preferred.
Skills And Abilities
  • Ability to effectively communicate with business users to understand business processes.
  • Highly Proficient in analyzing business objectives and requirements.
  • Skills in design and development of efficient data integration solutions.
  • Ability to design and maintain scalable data architectures that support analytics, operational insights, and machine learning.
  • Experience with data integration tools such as Informatica, Matillion, Streamsets, or similar tools.
  • Highly proficient in SQL.
  • Ability to analyze business and system processes to support solution development.
  • Understanding and ability to manage through an enterprise‑wide project/solution impacts, issues, and risks.
  • Ability to manage across company teams to ensure collaboration in support of high‑quality solutions.
  • Familiarity with AI/LLM integration patterns (feature engineering, inference pipelines, embeddings, and ML frameworks).
  • Strong verbal and written communication and presentation skills.
  • Advanced experience with Visio and related design/flow tools. Fluent with Microsoft Excel, Word, and Outlook. Medium skill level with MS Project.
  • Comfortable in a fast‑paced and cutting‑edge development environment.

Elevate is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
California Employee Privacy Policy | Family & Medical Leave Act | Employee Polygraph Protection Act |E-Verify

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