Summary
✨ AI‑Generated
A 12-month hybrid solutions engineering contract focused on designing and maintaining scalable data platforms. The role spans ETL pipelines, data warehouses, data models, system integrations, and business intelligence reporting while partnering with stakeholders and optimizing existing systems.
Highlights
12-month hybrid contract with strong compensation, ownership of end-to-end data solutions, and opportunities to work across ETL, data warehousing, analytics, integrations, and business reporting.
Description
Hybrid | 12 Month Contract | 65-70/hr
Solutions Engineer
The Solutions Engineer is responsible for building and maintaining data solutions that support reporting, analytics, and business operations.
This role will design and manage ETL processes, data warehouses, data models, system integrations, and Power BI reporting solutions while partnering with business stakeholders throughout the full project lifecycle.
The engineer will also support and optimize existing data platforms, troubleshoot issues, and deliver scalable, reliable data solutions in a fast-paced, collaborative environment.
Must Haves
5+ years of Data Engineering, Data Development, or ETL Development experienceStrong Microsoft SQL Server backgroundAdvanced SQL skills (Complex queries, Relational Data Models, Stored procedures, Dynamic SQL, Performance tuning)Strong data modeling experience (Fact and Dimension tables, Star Schema, Relational Data Models)Azure Data Factory (ADF) or applicable ETL tool experiencePower BI Dashboard DevelopmentSSIS and SSRS experienceData Warehouse experience (Snowflake, BigQuery, Redshift) or traditional systems (SQL Server)Azure cloud administration experienceAbility to troubleshoot and support production data pipelinesExperience with .Net programmingExperience leveraging AI/ML tools or LLM API's for data optimization and cleansing automation, and for predictive modelingPlusses
Programming language experience (ex: Python)Deployment and Management of Azure using TerraformSystem integration experience (ex: REST API, webhooks, middleware)CI/CD practices and version control (Git)Day-to-Day
Design and maintain data models (fact tables, dimension tables, star schemas)Build and support ETL/ELT pipelines using Azure Data Factory and SSISDevelop SQL stored procedures, dynamic SQL, and complex queriesCreate and maintain Power BI dashboards and paginated reportsSupport enterprise data warehouses and data martsTroubleshoot failed data loads and pipeline issuesOptimize SQL performance and ETL jobsWork with stakeholders to gather requirements and deliver reporting solutionsSupport cloud-based data platforms and Azure infrastructureLeverage AI/ML tools where applicable to improve data processing and analytics
