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Sr Data Engineer

Milwaukee Tool

Menomonee Falls, Wisconsin • Today

Full-time

Senior Data Engineer

Sunrise Systems, Inc.

Hybrid in Milwaukee, Wisconsin • 3d ago

Easy Apply

Contract

65 - 70

Senior Data Scientist / Data Engineer Generative AI Engine Optimization

Projas Technologies, LLC

Remote • Today

Easy Apply

Contract

$80 - $95

Senior Data Engineer

International Solutions Group

Remote • 4d ago

Easy Apply

Contract

Depends on Experience

Senior Data Engineer (Data Bricks)

SRS Consulting Inc

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Senior Data Engineer

MHK TECH INC

Remote • 12d ago

Easy Apply

Contract

Depends on Experience

Sr Data Engineer

Boeing Employees Credit Union

Remote or Washington • Today

Full-time

USD 141,800.00 - 173,300.00 per year

Senior Data Engineer

CenterWell Home Health

Remote or Charleston, South Carolina • Today

Full-time

USD 117,600.00 - 161,700.00 per year

Senior Data Engineer

Atlassian Inc.

Remote • Today

Full-time

USD 167,400.00 - 218,550.00 per year

Senior Data Engineer

Shimento, Inc.

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

Senior Data Engineer

SPA

Remote • Today

Full-time

USD 156,423.94 per year

Sr. Data Engineer

Oteemo Inc

Remote or Virginia • Today

Full-time

Senior Data Engineer

NTT DATA, Inc.

Remote or Plano, Texas • Today

Full-time

USD 62.47 - 75.55 per hour

Senior Data Engineer

Metova Federal

Remote • Today

Full-time

Senior Data Engineer

Empower Annuity Insurance Company of America

Remote • Today

Full-time

USD 105,700.00 - 149,275.00 per year

Senior Data Engineer

Voyager Technologies, Inc.

Remote • Today

Full-time

USD 163,000.00 - 205,000.00 per year

Senior Data Engineer

Collectors Universe, Inc.

Remote or Los Angeles, California • Today

Full-time

USD 135,549.00 - 220,067.00 per year

Senior Data Engineer

Allstate Insurance Company

Remote • Today

Full-time

USD 98,100.00 - 167,850.00 per year

Sr Data Engineer

Protective

Remote or Nebraska • Today

Full-time

USD 84,000.00 - 128,667.00 per year

Senior Data Engineer

Brooksource

Remote • Today

Contract

$70.00 - $85.00

Remote Senior Data Engineer

Kforce Technology Staffing

Remote or Atlanta, Georgia • Today

Contract

$86 - $96 hourly

Senior Data Engineer

Redhorse Corporation

Remote • Today

Full-time

Senior Data Engineer - Remote

Med-Metrix

Remote or Tennessee • Today

Full-time

Senior Data Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 91,700.00 - 163,700.00 per year

Senior Data Engineer - Snowflake

iSpace, Inc

Remote • Today

Easy Apply

Contract

$60 - $66

Senior Data Engineer, Observability Engineering

CVS Health

Remote or Arizona • Today

Full-time

USD 92,700.00 - 222,480.00 per year

Senior Data Engineer - Analytics

Machinify

Remote • Today

Full-time

USD 170,000.00 - 200,000.00 per year

Sr. Data Engineer

Re:Build Manufacturing

Remote • Today

Full-time

USD 143,065.00 - 241,598.00 per year

Senior Data Engineer with Terraform

EPAM Systems

Remote • Today

Full-time

Senior Data Engineer - With DataBricks

Neurolynx Global inc

Remote • 18d ago

Easy Apply

Contract

Depends on Experience

Job Details

Skills

Product Development
Technical Support
Scalability
Reporting
Collaboration
Data Architecture
Version Control
Business Strategy
Decision-making
Mentorship
Microsoft Excel
Energy
Computer Science
Computer Engineering
Information Systems
Software Engineering
Analytics
SQL
Python
C#
Java
Scala
Extract
Transform
Load
ELT
Data Warehouse
Relational Databases
Cloud Computing
Microsoft Azure
Amazon Web Services
Data Storage
Orchestration
Data Modeling
Database Design
Data Integration
Systems Architecture
Data Engineering
Apache Spark
Databricks
Automated Testing
Data Quality
Data Governance
Data Security
Documentation
Business Process
Workflow
Analytical Skill
Conflict Resolution
Problem Solving
Communication

Product Development
Technical Support
Scalability
Reporting
Collaboration
Data Architecture
Version Control
Business Strategy
Decision-making
Mentorship
Microsoft Excel
Energy
Computer Science
Computer Engineering
Information Systems
Software Engineering
Analytics
SQL
Python
C#
Java
Scala
Extract
Transform
Load
ELT
Data Warehouse
Relational Databases
Cloud Computing
Microsoft Azure
Amazon Web Services
Data Storage
Orchestration
Data Modeling
Database Design
Data Integration
Systems Architecture
Data Engineering
Apache Spark
Databricks
Automated Testing
Data Quality
Data Governance
Data Security
Documentation
Business Process
Workflow
Analytical Skill
Conflict Resolution
Problem Solving
Communication

Summary

Job Description:

Come be DISRUPTIVE with 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10326413
Position Id: 10dec7db266b17d06f8e3cab24f043b
Posted 30+ days ago

Fitment

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Job Details

Skills

Product Development
Technical Support
Scalability
Reporting
Collaboration
Data Architecture
Version Control
Business Strategy
Decision-making
Mentorship
Microsoft Excel
Energy
Computer Science
Computer Engineering
Information Systems
Software Engineering
Analytics
SQL
Python
C#
Java
Scala
Extract
Transform
Load
ELT
Data Warehouse
Relational Databases
Cloud Computing
Microsoft Azure
Amazon Web Services
Data Storage
Orchestration
Data Modeling
Database Design
Data Integration
Systems Architecture
Data Engineering
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Databricks
Automated Testing
Data Quality
Data Governance
Data Security
Documentation
Business Process
Workflow
Analytical Skill
Conflict Resolution
Problem Solving
Communication

Product Development
Technical Support
Scalability
Reporting
Collaboration
Data Architecture
Version Control
Business Strategy
Decision-making
Mentorship
Microsoft Excel
Energy
Computer Science
Computer Engineering
Information Systems
Software Engineering
Analytics
SQL
Python
C#
Java
Scala
Extract
Transform
Load
ELT
Data Warehouse
Relational Databases
Cloud Computing
Microsoft Azure
Amazon Web Services
Data Storage
Orchestration
Data Modeling
Database Design
Data Integration
Systems Architecture
Data Engineering
Apache Spark
Databricks
Automated Testing
Data Quality
Data Governance
Data Security
Documentation
Business Process
Workflow
Analytical Skill
Conflict Resolution
Problem Solving
Communication

Summary

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.

Dice Id: 10326413
Position Id: 10dec7db266b17d06f8e3cab24f043b
Posted 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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