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Sql Server Data Engineer Jobs in Milwaukee, WI (NOW HIRING)

Navanta, LLC

Lead Data Engineer

Grafton, WI

$112K - $135K/yr

S3 / MinIO SQL Server and PostgreSQL data modeling, pgvector (or equivalent) Nice to Have ... AI/ML, platform engineering, and security teams; on-call rotation covering data pipeline ...

Navanta, LLC

Lead Data Engineer

Grafton, WI

$112K - $135K/yr

S3 / MinIO SQL Server and PostgreSQL data modeling, pgvector (or equivalent) Nice to Have ... AI/ML, platform engineering, and security teams; on-call rotation covering data pipeline ...

ULINE

Senior Data Engineer

Kenosha, WI

$96K - $148K/yr

Bachelor's degree in information technology or related field. * 8+ years in data engineering. * 5+ years of developing enterprise ETL/data integration solutions using Informatica PowerCenter, SSIS, ...

Techcliff Group

SQL DBA

Milwaukee, WI · Remote

$51.25 - $64/hr

Collaborates with other IT technical engineers, developers and Program Management personnel ... Experience with Data Warehouses. * Troubleshooting Oracle 11g and 12c database and servers.

American Transmission Co.

Sr. Data Engineer

Pewaukee, WI · On-site

$128 - $150/hr

Experience with Microsoft SQL Server technologies including SSMS, SSIS, SSRS, and SSAS ... DevOps platforms. * Experience supporting data governance, data quality, and enterprise data ...

Posted today

American Transmission Company

Sr. Data Engineer

Pewaukee, WI · On-site +1

$112K - $134K/yr

Experience with Microsoft SQL Server technologies including SSMS, SSIS, SSRS, and SSAS. Experience using Git, Azure DevOps, or similar source control and DevOps platforms. Experience supporting data ...

New

Syntricate Technologies

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

... server DataStage, SQL and Unix. • 5-7 years with a broad portfolio of AWS Infrastructure tools (EBS, S3, EC2, Elastic IP, Route 53, VPC) and with cloud infrastructure Management and automation ...

mcts

SOFTWARE DEVELOPER

Milwaukee, WI

The Software Developer will provide full application life cycle development including but not ... Knowledge of Bash and SQL (structured query language) scripting. * Knowledge of server, data base ...

mcts

SOFTWARE DEVELOPER

Milwaukee, WI · On-site

The Software Developer will provide full application life cycle development including but not ... Knowledge of Bash and SQL (structured query language) scripting. * Knowledge of server, data base ...

SysLogic, Inc.

Data Analytics Architect

Brookfield, WI · On-site

... Factory, Power BI, SQL Server, Azure Analysis Services, and other relevant Microsoft tools ... data engineers, analysts, and other stakeholders to ensure successful project delivery. * Keep ...

SysLogic, Inc.

Data Analytics Architect

Brookfield, WI · On-site +1

... Factory, Power BI, SQL Server, Azure Analysis Services, and other relevant Microsoft tools ... data engineers, analysts, and other stakeholders to ensure successful project delivery. * Keep ...

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling ... Experience with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling ... Experience with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling ... Experience with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and ...

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All JobsSql Server Data Engineer JobsSql Server Data Engineer Jobs in Milwaukee, WI

Sql Server Data Engineer information

See Milwaukee, WI salary details

$59.6K

$120.3K

$165K

How much do sql server data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for sql server data engineer in Milwaukee, WI is $120,310.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $137,900.00 per year, depending on experience, location, and employer.

What does a SQL Server Data Engineer do?

A SQL Server Data Engineer is responsible for designing, developing, and maintaining databases using Microsoft SQL Server. Their role involves creating and optimizing data models, writing complex queries, ensuring data integrity, and supporting business intelligence needs. They often collaborate with developers, analysts, and stakeholders to deliver reliable and efficient data solutions. Additionally, they may handle performance tuning, security management, and data migration tasks.

What are the key skills and qualifications needed to thrive as a SQL Server Data Engineer?

To thrive as a SQL Server Data Engineer, you need strong proficiency in SQL, database design, ETL processes, and a solid understanding of data warehousing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft SQL Server, SSIS, SSRS, SSAS, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are commonly required. Analytical thinking, problem-solving skills, and effective communication help you excel in troubleshooting, optimizing data workflows, and collaborating with cross-functional teams. These skills ensure reliable data management, efficient operations, and the delivery of actionable insights critical to business decision-making.

What are some common challenges faced by SQL Server Data Engineers when optimizing database performance?

SQL Server Data Engineers often encounter challenges such as identifying inefficient queries, managing indexing strategies, and balancing resource usage to prevent bottlenecks. They must regularly analyze query execution plans and monitor server health to optimize performance. Collaboration with developers is also essential to ensure that application code interacts efficiently with the database, and staying updated with the latest SQL Server features helps in implementing best practices.

Do data engineers still use SQL?

Yes, data engineers still use SQL extensively for designing, building, and maintaining data pipelines and databases. SQL remains a fundamental skill for managing structured data, performing queries, and integrating data systems in many organizations.

Is SQL Server Data Engineer in demand in 2026?

SQL Server Data Engineers are expected to remain in demand through 2026 due to ongoing needs for data management, analytics, and database optimization in various industries. Skills in SQL, T-SQL, and cloud platforms like Azure or AWS can enhance job prospects, as organizations continue to prioritize data-driven decision-making. The role's demand is supported by the growth of big data and enterprise data infrastructure projects.

What are popular job titles related to Sql Server Data Engineer jobs in Milwaukee, WI?

For Sql Server Data Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Sql Server Data Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Sql Server Data Engineer jobs in Milwaukee, WI are:

Sql Server Data Engineer jobs near you
Infographic showing various Sql Server Data Engineer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $120,310 per year, or $57.8 per hour.

Data Integration and Business Intelligence Consultant

Sunrise Systems, Inc.

Milwaukee, WI • On-site

Other

Re-posted 7 days ago

Job description

Job Title: Data Integration and Business Intelligence Consultant Location:3 days on site, Milwaukee, WI Duration: 6 months contract
Description:
Responsibilities:
  • Owns delivery of hybrid data pipelines
  • Develops and maintains complex stored procedures, views, and functions
  • Builds and schedules SSIS packages for ETL
  • Integrates on-prem data sources with cloud securely and efficiently
  • Implements Snowflake best practices for performance, cost, and security
  • Leads small projects or initiatives
  • Provides technical guidance to junior engineers
  • Contributes to documentation and knowledge sharing
  • Monitors and optimizes pipeline performance
  • Builds and orchestrates batch and incremental workflows
Technical Profile:
  • 3-5 years of experience in Data Integration / Business Intelligence in a complex environment working with SSIS
  • Proficient in Data Integration and Business Intelligence tools and concepts such as:
  • Data Integration concepts and strategies: ETL, EL-T, Data Warehousing, event-based processing
  • Data Integration tools: SSIS
  • Database: SQL Server
  • Data Query tools: SQL, T-SQL
  • Data Management and Quality: data mapping, data profiling, relational data modeling, dimensional data modeling
  • Building and loading relational (3NF) and dimensional data sets matching business needs
  • Familiarity with processing flat files, fixed-width, csv, json, xml, api's, message queues
  • Snowflake, dbt and/or other cloud data pipeline technologies
  • Knowledge of Business Intelligence tools such as: Alteryx, Microsoft Power BI, SSRS, and SSAS
  • Working knowledge of APIs and C# coding. (would be a plus)
Qualities needed for Data role:
  • Good communicator who wants to work in a team environment, comfortable working collaboratively with peers
  • Analytical not afraid to dive into complex code and data to troubleshoot issues
  • Creative problem solver who is automation focused we're looking to not have recurring work come back to us, but to better automate or teach/train users for self service
  • Motivated by small quick wins and process improvement
  • Comfortable working in an agile environment.
  • Data Query tools: SQL, T-SQL
  • Data Management and Quality: data mapping, data profiling, relational data modeling, dimensional data modeling
  • Building and loading relational (3NF) and dimensional data sets matching business needs
  • Familiarity with processing flat files, fixed-width, csv, json, xml, api's, message queues

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