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# Data Engineer (SSIS)

- **Company:** Diverse Lynx LLC
- **Location:** Plano, TX, United States
- **Experience:** Experienced
- **Salary:** $124,800 - $128,960
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Frameworks, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Continuous Integration, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Migration, Data Warehousing, Database Development, DevOps, Dimensional Modeling, Python (Programming Language), Microsoft SQL Server, Performance Tuning, Windows PowerShell, Power BI, Cloud Services, Azure Data Lake, SQL Server Reporting Services, SQL Server Integration Services, Transact-SQL, Enterprise Data Management, Scripting, Cloud Platform System, Data Ingestion, Azure Data Factory, Apache Spark, Git, Build Management, Microsoft Fabric, Pyspark, Star Schema, Enterprise Integration, Stream Processing, Azure Synapse Analytics, Data Pipelines, Sql Tuning, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/e492db9d-eb1e-484c-9460-2b73a4917254/data-engineer-ssis

## About the Role

Experience in one or more:

 * Azure Data Factory (ADF)
 * Azure Synapse Analytics
 * Microsoft Fabric
 * Azure Data Lake Storage (ADLS)
 * Databricks
 * Apache Spark / PySpark

Reporting & Analytics

 * SSRS
 * Power BI

Programming & Scripting

 * Python
 * PowerShell
 * C#
 * .NET

DevOps

 * Azure DevOps
 * Git
 * CI/CD Pipelines

Preferred Experience

 * 5 years of experience in ETL/Data Engineering.
 * 3 years of SSIS development experience.
 * Hands-on experience migrating SSIS workloads to:
 + Azure Data Factory
 + Microsoft Fabric
 + Databricks
 + Synapse Analytics
 * Experience with data validation and reconciliation during migration projects.
 * Ability to estimate migration effort and identify dependencies.

## Description

SSIS Migration & Modernization (Mandatory)

 * Analyze and assess existing SSIS packages, ETL workflows, and dependencies.
 * Design migration strategies for SSIS workloads to modern cloud-based or enterprise data platforms.
 * Re-engineer ETL logic while preserving business functionality.
 * Develop migration accelerators, reusable frameworks, and automation solutions.
 * Perform end-to-end migration, testing, deployment, and production support.

Data Engineering

 * Design and build scalable data pipelines.
 * Develop data ingestion, transformation, and orchestration processes.
 * Implement data quality and validation frameworks.
 * Support batch and near-real-time data processing requirements.

Database Development

 * Develop and Eligible to workimize complex T-SQL queries, views, procedures, and functions.
 * Perform SQL performance tuning and troubleshooting.
 * Implement data reconciliation and validation processes.

Data Warehousing

 * Design and support enterprise data warehouse solutions.
 * Work with Fact, Dimension, Star Schema, and Snowflake Schema models.
 * Implement CDC and SCD strategies.

Cloud Data Platforms

 * Develop and support cloud-native data integration solutions.
 * Participate in migration of on-premises data workloads to cloud environments.
 * Support CI/CD implementation for data pipelines., * SQL Server
 * T-SQL
 * SSIS Package Development
 * SSIS Package Analysis and Migration
 * ETL/ELT Design
 * Data Migration
 * SQL Performance Tuning

Data Warehousing

 * Dimensional Modeling
 * Star Schema
 * Snowflake Schema
 * Fact and Dimension Modeling
 * CDC
 * SCD

Cloud & Modern Data Engineering