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# IT Data Developer

- **Company:** TEMPUR SEALY
- **Location:** Lexington, KY, United States
- **Experience:** Experienced
- **Salary:** $81,000.0 - $116,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Microsoft Azure, Software as a Service, Databases, Computer Engineering, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Security, Data Warehousing, Database Development, Database Queries, DevOps, Dimensional Modeling, Python (Programming Language), SQL Azure, Role-Based Access Control, Power BI, Standard Sql, SQL Stored Procedures, Azure Data Factory, Sql Optimization, Snowflake, Git, Data Layers, Microsoft Fabric, Data Lakes, Pyspark, Information Technology, Collibra, Microsoft Dynamics 365 Finance & Operations, Data Pipelines
- **Published:** July 7, 2026
- **Apply:** https://www.juju.com/job/00000000gejefi

## About the Role

Bachelor's degree in Computer Engineering or Computer Science or Equivalent Work Experience.

3-6 years of experience in data development or data engineering

Strong SQL skills with experience creating and maintaining databases objects (Tables, Views, Stored Procedures, Indexes & Functions), optimizing queries and data transformations

Handson experience with Azure data services (ADF, Azure SQL, ADLS, Synapse and/or Fabric)

Working experience with Microsoft Fabric (Lakehouse, Warehouse, OneLake, or notebooks)

Handson experience with Snowflake as a data warehouse

Solid understanding of data warehousing concepts, ETL/ELT, and dimensional modeling

Experience using Git and following basic CI/CD or structured deployment practices

Preferred / Nice to Have

Experience integrating data from Microsoft ERP platforms, especially Dynamics 365 Finance & Operations (D365 F&O) or related exports/data lake patterns

Python or PySpark for data transformations or automation

dbt or comparable transformation frameworks

Experience with data governance tools (e.g., Microsoft Purview)

Snowflake certifications or Microsoft Azure/Fabric certifications (DP203, DP600)

What Success Looks Like

Reliable, welldocumented pipelines running in production

Performant, trusted datasets used by BI and reporting teams

Reduced data issues through strong SQL, validation, and modeling practices

Effective collaboration with business and technical partners

## Description

Develop and maintain ETL/ELT pipelines using Azure Data Factory and/or Fabric Data Factory to ingest data from databases, files, APIs, and SaaS

Build and optimize curated data layers in Microsoft Fabric (OneLake, Lakehouse, Warehouse) and Snowflake following modern patterns (e.g., Bronze/Silver/Gold)

Write, tune, and troubleshoot advanced SQL for transformations, validations, and analytics workloads

Design and maintain dimensional data models (facts/dimensions) to support BI and selfservice analytics (Power BI or similar)

Monitor and improve data quality, reliability, and performance, including incremental loads and cost optimization

Apply security and governance best practices (RBAC, controlled data access, basic lineage/metadata documentation)

Collaborate in an Agile environment, using DevOps, Git and worktracking tools to deliver welldocumented, productionready solutions


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