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# Senior Data Engineer (Snowflake / dbt / Fivetran / AWS)

- **Company:** Kelly Services Inc.
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Big Data, Cloud Computing, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, DevOps, Python (Programming Language), Performance Tuning, Enterprise Data Management, Data Ingestion, Snowflake, Pyspark, Data Analytics, Apache Kafka, Terraform, Data Pipelines
- **Published:** October 9, 2026
- **Apply:** https://dejobs.org/x/x/330DB50DCDD14F2DB02A93521B9E7547/job/

## About the Role

· 5+ years of Data Engineering experience

· Strong Snowflake experience including warehouse sizing, clustering, partitioning, and performance optimization

· Experience with Fivetran data ingestion and CDC pipelines

· Strong dbt experience including staging, intermediate, and mart layer development

· ETL/ELT pipeline development experience Desired Skills & Experience

· Data warehouse architecture experience

· Analytics engineering expertise

· Data governance and data quality experience

· Experience building enterprise data products

· Kafka or streaming platform experience

## Description

We are seeking a Senior Data Engineer to join a growing enterprise data team within a leading financial services organization in the North Dallas area. This full-time opportunity requires onsite collaboration four days per week and offers the chance to play a key role in a large-scale data modernization initiative. The organization is making significant investments in modern data platforms, cloud technologies, and enterprise data products, creating an exciting environment for engineers who want to build scalable solutions, influence technical direction, and help shape the future of a rapidly expanding data organization., This team is being built from the ground up under new data leadership with a mission to centralize data, modernize analytics capabilities, and deliver scalable data products across the business. The ideal candidate is a well-rounded data engineer with experience across data ingestion, ETL/ELT development, data warehousing, and cloud technologies. You'll have the opportunity to work throughout the entire data lifecycle while helping establish engineering standards, best practices, and enterprise-scale solutions built on Snowflake and AWS., · 20% Data Ingestion & Fivetran

· 10% Python/PySpark Development

· 10% DevOps, Terraform & CI/CD

Daily Responsibilities

· 80% Hands-On Engineering

· 10% Architecture & Technical Design