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# Data Platform Engineer

- **Company:** Scion Staffing, Inc.
- **Location:** Addison, TX, United States
- **Experience:** Expert
- **Salary:** $135,000.0 - $145,000.0
- **Contract:** Contract
- **Skills:** Airflow, Audit Trail, Software as a Service, Data Architecture, Information Engineering, Data Infrastructure, Data Masking, Data Warehousing, Python (Programming Language), Microsoft SQL Server, Netsuite, Open Database Connectivity, Operational Data Store, OpenFlow, Operational Databases, Role-Based Access Control, Power BI, SQL Databases, File Transfer Protocol (FTP), Data Ingestion, Azure Data Factory, Sql Optimization, Snowflake, Data Management, Api Design, Restful APIs, Data Pipelines
- **Published:** October 13, 2026
- **Apply:** https://scionstaffing.com/apply-with-scion-staffing/

## About the Role

* Minimum of 5 years of experience in data engineering, analytics engineering, or a closely related role.
 * Advanced SQL skills and hands-on experience designing dimensional data models, including fact tables, dimension tables, grain, conformed dimensions, and slowly changing dimensions.
 * Production experience with dbt, medallion architecture, modern ELT patterns, and a cloud data warehouse; Snowflake experience is strongly preferred.
 * Experience building ingestion pipelines from both SQL databases and SaaS or API-based sources using REST APIs, ODBC, SFTP, file feeds, native connectors, incremental loading, or CDC.
 * Proficiency with Python and experience with orchestration or integration technologies such as Azure Data Factory, Dagster, Airflow, Prefect, Snowpipe, Streams and Tasks, or Snowflake Openflow.
 * Experience implementing access and security controls for sensitive or regulated data, including RBAC, data masking, row-level access, audit logging, or comparable protections.
 * Demonstrated ability to independently own a production data platform within a small team, including pipeline reliability, monitoring, troubleshooting, data quality, security, performance, and cost management; healthcare, revenue cycle management, HIPAA/PHI, NetSuite, Paycom, Power BI, or SnowPro experience is preferred.

## Description

The Senior Data Platform Engineer will build, operate, and secure a modern Snowflake data platform using a medallion architecture. Working closely with the Data Architect, this hands-on engineer will develop ingestion pipelines, dbt transformations, dimensional models, and governance controls that turn sensitive operational data into trusted business insights. This high-ownership opportunity is ideal for someone who enjoys managing the full data lifecycle and helping shape a growing data environment., * Onboard data from SQL Server databases and SaaS applications through REST APIs, ODBC, SFTP, file feeds, native connectors, incremental-loading methods, and CDC patterns.

 * Build, maintain, and monitor pipelines across the bronze, silver, and gold layers using Snowflake, dbt, SQL, Python, Azure Data Factory, and modern orchestration tools.
 * Develop dimensional data models, including fact and dimension tables, appropriate grain, conformed dimensions, and slowly changing dimensions, while translating business requirements into maintainable transformations.
 * Manage the Snowflake environment, including warehouses, roles, resource monitors, platform performance, cost management, reliability, scheduling, dependencies, and failure resolution.
 * Protect PHI, PII, and other sensitive data by implementing RBAC, least-privilege access, masking, row-access policies, audit logging, lineage, and governance controls.
 * Establish data-quality tests, validation checks, source-to-warehouse reconciliation, and consistent business definitions while serving as a hands-on technical resource to other engineers.