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

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$114K - $138K/yr

Strong proficiency in SQL and at least one programming language such as Python, C#, Java, or Scala. * Experience designing and supporting ETL/ELT pipelines, data warehouses, data lakes, relational ...

American Transmission Co.

Sr. Data Engineer

Pewaukee, WI · On-site

$112K - $134K/yr

Hands‑on experience with Python Notebook, Microsoft Fabric and Azure Data Factory. * Strong ... Experience with Microsoft SQL Server technologies including SSMS, SSIS, SSRS, and SSAS.

New

American Transmission Company

Sr. Data Engineer

Pewaukee, WI · On-site +1

$112K - $134K/yr

Hands-on experience with Python Notebook, Microsoft Fabric and Azure Data Factory. Strong Python ... Experience with Microsoft SQL Server technologies including SSMS, SSIS, SSRS, and SSAS. Experience ...

Evans Transportation Services LLC

Data Engineer

Delafield, WI · On-site +1

$109K - $131K/yr

Strong proficiency in SQL and some programming knowledge, preferably .NET and Python. Solid understanding of data modeling, dimensional modeling, warehousing concepts, and distributed data systems.

Evans Transportation, Inc

Data Engineer

Delafield, WI · On-site

$109K - $131K/yr

Strong proficiency in SQL and some programming knowledge, preferably .NET and Python. Solid understanding of data modeling, dimensional modeling, warehousing concepts, and distributed data systems.

Deloitte

Data Engineer II

Milwaukee, WI · On-site

$112K - $135K/yr

Required Qualifications * 4+ years of experience as a Data Engineer delivering production-grade data pipelines and curated datasets. * 4+ years of hands-on experience with SQL and Python, including ...

MARS Solutions Group

Product Design Engineer

Milwaukee, WI · On-site

$127K - $152K/yr

Product Design Engineer Duration: 08 Months with possibility of extension Location: Milwaukee, WI ... Experience utilizing Microsoft Excel for data analysis and proficiency in MS Power BI, SQL, Python ...

Mgic Investment

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

Strong Python and SQL skills; experience with APIs, data formats, shell scripting, and Git-based ... engineers. Pay Range: $105,590.00 - $179,510.00 This range aligns with current market data and ...

Delta Defense

Data Engineer (West Bend)

West Bend, WI · Hybrid

$111K - $134K/yr

... SQL experience * Ability to work efficiently within AWS cloud technologies such as S3, EMR ... Proficiency with Python and scripting languages preferred * Solid understanding of industry ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

... Python, and Scala. * Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable ... Design and optimize SQL and NoSQL data models for data lakes and warehouses (BigQuery, MongoDB ...

Ontech Talent

Be Seen First

Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

... data engineering, integration, analytics, application development, business intelligence, or ... SQL, Python, Spark, and modern analytics platforms. * Experience establishing standards for ...

ULINE

Senior Data Engineer

Kenosha, WI

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL ... Proven experience writing complex T-SQL and DB performance tuning. * Strong troubleshooting skills ...

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Showing results 21-40

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

Sql Python Data Engineer information

See Milwaukee, WI salary details

$43.8K

$127.8K

$174.9K

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

As of Sep 9, 2026, the average yearly pay for sql python data engineer in Milwaukee, WI is $127,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

What is a SQL Python data engineer?

SQL Python Data Engineers are professionals who design, build, and maintain systems for collecting, storing, and analyzing large volumes of data, primarily using SQL and Python. They create data pipelines, optimize queries, and ensure data is accessible and reliable for analytics and business needs. Their work often involves collaborating with data scientists, analysts, and IT teams to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a SQL Python data engineer?

To thrive as a SQL Python Data Engineer, you need expertise in database design, advanced SQL querying, and proficiency in Python programming, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools, ETL frameworks, cloud platforms (like AWS or Azure), and certifications such as AWS Certified Data Analytics are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and translate business needs into technical solutions. These skills ensure the efficient management, transformation, and delivery of reliable data for organizational decision-making.

How do SQL Python data engineers typically collaborate with data scientists and analysts within a project team?

SQL Python Data Engineers play a crucial role in enabling data scientists and analysts to access clean, reliable data. They are responsible for designing, building, and maintaining data pipelines that transform raw data into usable formats. Collaboration often involves working closely with data scientists to understand their data requirements and optimizing queries or scripts for performance. Regular communication and agile meetings are common, ensuring that data infrastructure supports evolving analytical needs. This partnership ensures that downstream users receive timely, accurate datasets for modeling, reporting, and decision-making.

What is the difference between Sql Python Data Engineer vs Data Analyst?

AspectSql Python Data EngineerData Analyst
Required SkillsSQL, Python, ETL, data modeling, cloud platformsSQL, Excel, data visualization, basic statistics
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or visualization certifications (e.g., Tableau, Excel)
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare

The Sql Python Data Engineer focuses on building and maintaining data pipelines, working with large datasets, and ensuring data accessibility for organizations. In contrast, Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, data engineers emphasize programming and infrastructure, whereas data analysts focus on analysis and visualization.

Sql Python Data Engineer jobs near you
Infographic showing various Sql Python Data Engineer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,802 per year, or $61.4 per hour.

Sr Data Engineer

Menomonee Falls, WI • On-site

Milwaukee Tool
See more jobs at Milwaukee Toolexternal

$114K - $138K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Description:

Come beDISRUPTIVEwith us!At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success -- so we give you unlimited access to everything you need to create innovative new solutions on our engineering team. As a Sr. Data Engineer, you will design, build, and support scalable data solutions that enable faster, more reliable decision-making across engineering, test lab, and product development operations. You will partner with cross-functional teams to transform raw data into trusted, governed, analytics-ready data products through modern data pipelines, cloud platforms, data modeling, and data quality practices.

You must be permanently eligible to work in the U.S. without sponsorship for this position.

Duties and Responsibilities

  • aDesign, develop, and maintain scalable data pipelines, data models, and data integration solutions that support engineering and test operations.

  • Build reliable ETL/ELT processes to ingest, transform, validate, and deliver data from multiple source systems into analytics-ready environments.

  • Partner with engineering, lab operations, IT, analytics, and business stakeholders to understand data needs and translate them into technical solutions.

  • Establish and maintain data quality checks, validation rules, and monitoring processes to ensure trusted and accurate data.

  • Develop and optimize data warehouses, data lakes, and cloud-based data platforms for performance, reliability, and scalability.

  • Create reusable data assets, curated datasets, and documentation that enable self-service reporting, analytics, and operational visibility.

  • Collaborate with software developers and IT teams on secure data architecture, system integrations, source control, deployment, and development best practices.

  • Translate business strategy and operational needs into technical data solutions that improve efficiency, quality, and speed of decision-making.

  • Monitor pipeline performance, troubleshoot production issues, and proactively improve data reliability, observability, and maintainability.

  • Mentor team members on data engineering standards, coding practices, documentation, and data governance principles.

  • Adhere to timelines and excel in a fast-paced, high-energy environment while balancing technical excellence with practical business impact.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, Information Systems, or a related technical field; equivalent experience may be considered.

  • 5+ years of experience in data engineering, software engineering, analytics engineering, or related technical roles.

  • Strong proficiency in SQL and at least one programming language such as Python, C#, Java, or Scala.

  • Experience designing and supporting ETL/ELT pipelines, data warehouses, data lakes, relational databases, and cloud-based data platforms.

  • Experience working in cloud environments such as Azure or AWS, including data storage, compute, orchestration, and security concepts.

  • Working knowledge of data modeling, database design, data integration patterns, APIs, and scalable system architecture.

  • Familiarity with modern data engineering tools and practices such as Spark, Databricks, Airflow,dbt,Fabric, or automated testing.

  • Strong understanding of data quality, data governance, data security, documentation, and operational monitoring practices.

  • Ability to understand complex business processes, create process maps, and translate operational workflows into data solutions.

  • Strong analytical, problem-solving, and communication skills with the ability to influence technical decisions across cross-functional teams.

Milwaukee Tool is an equal opportunity employer.

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