1

Contract Aws Data Engineer Jobs in Wisconsin (NOW HIRING)

Senior Staff Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Senior Staff Data Engineer Our Enterprise Data & Analytics (EDA) is looking for an experienced ... Hands-on experience with AWS services (S3, Glue, EMR, Athena, Snowpipe, Kubernetes, Terraform)

Senior Staff Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Senior Staff Data Engineer Our Enterprise Data & Analytics (EDA) is looking for an experienced ... Hands-on experience with AWS services (S3, Glue, EMR, Athena, Snowpipe, Kubernetes, Terraform)

Lead Forward Deployed Engineer - AWS

Milwaukee, WI · On-site

$101K - $133K/yr

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...

WI · On-site

$125 - $150/hr

The AI Data Engineer is responsible for building and operating high‑quality, governed, and ... Professional certification(s) in area of expertise a plus * -AWS Machine Learning Specialty, Azure ...

WI · On-site

$125 - $150/hr

Data Engineer in the IT Front Data Team. Goal of the mission: Support the projects: Transparency ... SQL (advanced), Python, AWS (Glue, S3, Redshift). Competencies: Strong experience building and ...

WI · On-site

$100 - $125/hr

Je hebt ervaring met het opzetten van dataplatformarchitecturen (Azure, AWS of on‑prem - Azure is ... Een vast contract van onbepaalde duur met een aantrekkelijk loon aangevuld met extralegale ...

GCP, AWS, or Azure (preferred) * Familiarity and experience with XP (Extreme Programming ... Knowledge of data mesh and data-as-a-product principles * Experience with Kafka Connect and ...

New

WI · On-site

$100 - $125/hr

Overview We're looking for a skilled Data Engineer with strong Palantir Foundry experience to build ... Experience with cloud platforms (AWS, Azure, or GCP) * Knowledge of Spark, distributed computing ...

WI · On-site

$60 - $80/hr

Learn to integrate Databricks with cloud‑native services (like Azure Data Lake, AWS S3, or Google ... The Senior Azure Cloud‑Native Developer/Architect will be responsible for architecting ...

Data Engineer (West Bend)

West Bend, WI · Hybrid

$111K - $134K/yr

DATAE002046 Description Our Data Engineers help Delta Defense turn complex data into clear ... Ability to work efficiently within AWS cloud technologies such as S3, EMR preferred * 1+ years ...

WI · On-site

$125 - $150/hr

The Data Engineer designs and builds the pipelines and data models that our reporting, analytics ... AWS preferred; Azure or GCP considered. * Data warehouse and dimensional modeling experience ...

New

Lead Data Engineer

Madison, WI · On-site

$103K - $136K/yr

Establish data engineering standards, best practices, and architectural patterns * Conduct code ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

New

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Cloud Infrastructure services (i.e., AWS, SQS, S3, and GitLab). * Agile development tools ...

WI · On-site

$60 - $80/hr

* Build and maintain data pipelines for machine learning models. * Develop Python code to run feature ... Programming languages: SQL, Python * Distributed Computing: Spark * Cloud Infrastructure: AWS

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Cloud Infrastructure services (i.e., AWS, SQS, S3, and GitLab). * Agile development tools ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Cloud Infrastructure services (i.e., AWS, SQS, S3, and GitLab). * Agile development tools ...

WI · On-site

$125 - $150/hr

Senior Data Engineer We are looking for a highly skilled Senior Data Engineer to lead the evolution ... data solutions. * 5+ years of cloud experience across platforms such as AWS, Azure, and/or GCP.

Senior Data Engineer

Milwaukee, WI · On-site

$104K - $141K/yr

Experience with AWS services such as S3, Lambda, IAM, and related cloud data services, plus Agile ... engineers. Pay Range: $105,590.00 - $179,510.00 This range aligns with current market data and ...

Showing results 41-60

Contract Aws Data Engineer information

What is a contract AWS data engineer?

Contract AWS Data Engineers are professionals hired on a temporary basis to design, develop, and manage data solutions using Amazon Web Services (AWS) technologies. They are responsible for building and maintaining data pipelines, processing large datasets, and ensuring data is secure and accessible. These engineers typically work with services like AWS Glue, Redshift, S3, and Lambda to enable efficient data workflows and analytics. Their contract roles allow organizations to scale their data engineering capabilities for specific projects or periods without long-term commitments.

What skills and qualifications are needed to thrive as a contract AWS data engineer?

To thrive as a Contract AWS Data Engineer, you need strong expertise in data engineering concepts, proficiency in SQL and Python, and a solid understanding of AWS cloud services like Redshift, S3, and Glue, often supported by a degree in computer science or a related field. Familiarity with data pipeline tools (e.g., Apache Airflow), ETL frameworks, and certifications such as AWS Certified Data Analytics are highly valued. Excellent problem-solving, communication, and adaptability help you collaborate effectively with teams and respond to changing project requirements. These skills and qualities ensure efficient data solutions, robust cloud infrastructure, and successful project delivery in dynamic environments.

What are common challenges faced by contract AWS data engineers, and how can they be addressed?

Contract AWS Data Engineers often encounter challenges such as quickly onboarding to new environments, understanding existing data architectures, and ensuring secure data handling within AWS services. Since contract roles require rapid integration, it's important to proactively communicate with team members and utilize available documentation to get up to speed. Additionally, keeping up-to-date with AWS best practices and automation tools can help streamline tasks and ensure compliance with security standards.

What are the most commonly searched types of Aws Data Engineer jobs in Wisconsin?

The most popular types of Aws Data Engineer jobs in Wisconsin are:

What are popular job titles related to Contract Aws Data Engineer jobs in Wisconsin?

For Contract Aws Data Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Contract Aws Data Engineer jobs in Wisconsin look for?

The top searched job categories for Contract Aws Data Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Contract Aws Data Engineer jobs?

Cities in Wisconsin with the most Contract Aws Data Engineer job openings:

Infographic showing various Contract Aws Data Engineer job openings in Wisconsin 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.

Senior Staff Data Engineer

Zendesk

Madison, WI • On-site

$106K - $145K/yr

Full-time

Posted 5 days ago


Job description

Job Description

Senior Staff Data Engineer

Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Staff Data Engineer to lead the design, development, and scaling of our enterprise data platform. You'll work in a collaborative Agile environment using the latest engineering best practices with involvement in all aspects of the software development lifecycle.

As a Senior Staff Engineer on our EDA Engineering Team, you will be pivotal in building and supporting significant aspects of our data services and pipelines, that powers the next generation reporting and analytics platform. You'll partner with architects, engineers, analysts, and business stakeholders to ensure our data platforms are reliable, observable, secure, and governed. This role is ideal for someone who thrives at the intersection of data architecture and engineering execution, influencing technical direction across multiple teams while remaining hands-on with data platforms.

What you get to do every single day:
  • Lead data engineering projects at scale in a high visibility role working across multiple teams

  • Successfully plan and deliver complex, multi-team or system, long-term projects, including ones with external dependencies

  • Owns one or more large, mission-critical systems or multiple complex, team level projects, overseeing all aspects from design through implementation and operation

  • Cross functional and team collaboration on researching and brainstorming different solutions for technical challenges we face

  • Design and build end to end analytics solutions that provide practical insights into customer 360, finance, product, sales and other key business domains; can do critical R&D, PoC, vendor evaluation

  • Establish engineering best practices and mentoring other engineers in making technical decisions on projects and foster a culture of technical excellence and continuous learning

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery

What you bring to the role:

Basic Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.

  • 10+ years of experience in data engineering, data architecture, or distributed systems, with at least 5 years in technical leadership roles.

  • 7+ years of data engineering experience building, working & maintaining scalable data platforms

  • 5+ years of experience with Cloud columnar databases (Snowflake, Google BigQuery etc)

  • 3+ years of production experience with dbt and modern ELT pipelines.

  • Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Fivetran, DBT, AWS, GitHub Actions, Docker, Kubernetes, terraform.

  • Hands-on experience with AWS services (S3, Glue, EMR, Athena, Snowpipe, Kubernetes, Terraform).

  • Understanding of data governance, security controls, and access management.

  • Solid experience in observability, alerting, and incident management for data systems.

  • Ability to work optimally in multifaceted, occasionally interrupt driven environment that includes geographically spread teams and customers

  • Intermediate experience with any of the programming language: Python, Go, Java, Scala, we use primarily Python

  • Excellent communication skills to collaborate with executives, data scientists, analysts, and engineers.

  • Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions.

  • Proven ability to mentor staff and senior engineers, raising the technical bar across teams.

What does our data stack looks like:
  • ELT (MYSQL CDC, Kafka, Snowflake, Fivetran, dbt Core & DBT Cloud, Astronomer, Alation, Montecarlo)

  • BI (Tableau, Looker)

  • Infrastructure (AWS, Kubernetes, Terraform, Github Actions)

The US annualized base salary range for this position is $200,000.00-$300,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.

Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.