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BGSF

Data Engineer- W2 only!

BGSF, Remington, Indiana, United States, 47977

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Get AI-powered advice on this job and more exclusive features. This range is provided by BGSF. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range

$120,000.00/yr - $150,000.00/yr Local and W2 only!! No C2C please. Overview

If youre a data engineer who thrives in SQL-heavy, Microsoft-driven environments, this is your playground. As our

Senior Data Engineer , youll architect, build, and optimize modern data platforms that power analytics, BI, and AI initiatives across the company. Your mission: turn complex data challenges into scalable, automated solutions in Azure, while mentoring teammates and shaping a forward-looking data strategy. This isnt just about keeping the pipelines flowingthis is a leadership-level role where youll guide everything from migration projects to governance standards. Youll get to work with an advanced Microsoft stack (SQL Server, Synapse, Azure Data Lake, Power BI, and more) and help push the organization toward cutting-edge, cloud-first engineering. What Youll Do

Architect & Build Pipelines:

Own the full lifecycle of ETL/ELT pipelines across SQL Server, Azure Data Factory, Synapse, and more, integrating on-prem, cloud, and API data sources. Design for Scale:

Lead the creation of warehouses, lakes, and lakehouses with star/snowflake schemas and modern Delta/Parquet storage. SQL Expertise:

Write and optimize complex T-SQL queries, stored procs, and indexing strategies for massive datasets. Azure Cloud Engineering:

Design secure, cost-efficient Azure data ecosystems, including migrations from legacy systems. Power Analytics:

Prep data for BI, ML, and reportingowning semantic models and refresh strategies for Power BI. DevOps & Automation:

Implement CI/CD, Git workflows, and Infrastructure-as-Code (Terraform, ARM). Automate deployments and monitoring. Data Quality & Governance:

Enforce validation, monitoring, and regulatory compliance (GDPR, HIPAA, etc.) with tools like Purview. Leadership & Mentorship:

Partner with business stakeholders, mentor engineers, and champion best practices. What You Bring

Experience: 6+ years in data engineering, delivering production-grade solutions in Microsoft-heavy environments. 3+ years hands-on with SQL Server (2016+), T-SQL, SSIS/SSRS, and advanced stored procedures. Proven chops in distributed and cloud-native architectures. Technical Skills: Deep knowledge of Azure Data services. Programming skills in Python, C#, or Java. Strong grasp of warehousing, dimensional modeling, and ELT best practices. Cloud/DevOps: Azure-native security and RBAC experience. Hands-on with monitoring/logging frameworks like Azure Monitor or Grafana. Education:

Bachelors degree in CS, IT, Engineering, Math, or related; Masters or certifications a plus. Soft Skills:

Excellent communication, troubleshooting under pressure, and agile team collaboration. Bonus Points

Microsoft certifications (DP-203, DP-700). Experience modernizing SQL solutions for Azure cloud. Advanced Power BI expertise (DAX, DirectQuery, incremental refresh). Familiarity with Microsoft Fabric, Databricks, or Data Mesh concepts. Infrastructure-as-Code and containerization experience (Terraform, Docker, Kubernetes). Seniority level

Mid-Senior level Employment type

Contract Job function

Production Industries

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