ETL Data Conversion Analyst

MACHINE LEARNING TECHNOLOGIES LLC; Chicago (IL); On-site; USD 55,000 - 96,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Chicago, IL is seeking an ETL Data Conversion Analyst to design, develop, and maintain SQL Server–based ETL pipelines and perform large-scale data migration projects.

You will work with stakeholders to ensure data quality, performance, and reliability using SSIS, T-SQL, PowerShell, and .NET technologies under a DOE hourly arrangement.

Qualifications

• 6+ years of experience in Microsoft SQL Server (2016 through current), T-SQL development, performance tuning, and query optimization.
• 5+ years of experience designing and implementing ETL pipelines using SQL Server Integration Services (SSIS) and ETL best practices.
• 5+ years of experience in database architecture, data modeling, schema design, and executing large-scale data migration/conversion projects.
• 4+ years of experience with Microsoft Windows Server (2008 through current) and database platform deployment/administration.
• 4+ years of experience developing automation and application components using Microsoft .NET technologies, including PowerShell scripting, ASP.NET, and C#.
• 4+ years of experience implementing SQL Server high availability and disaster recovery solutions (Always On Availability Groups, Database Mirroring, Log Shipping).
• 4+ years of equivalent combination of educational background, related experience, and/or military experience.

Skills

MS SQL Server

T-SQL

ETL design

Database design

PowerShell

C#/.NET

HA/DR

Data migration

Stakeholder comms

Tools

SSIS

PowerShell

ASP.NET

C# language

Always On Availability Groups

Azure Data Factory

Git/Azure DevOps

Power BI

SSRS

Job description

Job Description

Job Overview

• Job ID: J52963
• Job Title: ETL Data Conversion Analyst
• Location: Chicago, IL
• Duration: 24 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Summary

Required Skills:

• 6+ years of experience in Microsoft SQL Server (2016 through current), T-SQL development, performance tuning, and query optimization.
• 5+ years of experience designing and implementing ETL pipelines using SQL Server Integration Services (SSIS) and ETL best practices.
• 5+ years of experience in database architecture, data modeling, schema design, and executing large-scale data migration/conversion projects.
• 4+ years of experience with Microsoft Windows Server (2008 through current) and database platform deployment/administration.
• 4+ years of experience developing automation and application components using Microsoft .NET technologies, including PowerShell scripting, ASP.NET, and C#.
• 4+ years of experience implementing SQL Server high availability and disaster recovery solutions (Always On Availability Groups, Database Mirroring, Log Shipping).
• 4+ years of equivalent combination of educational background, related experience, and/or military experience.

Experience That Would Be Great To Have

• Certifications such as Microsoft Certified: Azure Database Administrator Associate or Azure Data Engineer Associate.
• Experience with cloud database platforms and migration tools (Azure SQL, Azure Data Factory, AWS RDS).
• Familiarity with T-SQL unit testing frameworks (e.g., tSQLt) and automated database CI/CD using Git/Azure DevOps.
• Experience with BI tooling and reporting (SSRS, Power BI) and data governance practices.
• Proven track record in stakeholder management and presenting technical designs to enterprise and client audiences.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract