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Contract Aws Data Engineer Jobs in Madison, WI (NOW HIRING)

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Experience with cloud data platforms (Google Cloud, Azure, or AWS); Google Cloud experience ... Scripting/programming experience (Python or similar) for automation and data transformation a plus.

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Madison, WI (Hybrid) Duration: 6+months C2H (Contract to Hire) * Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field. * 8-10+ years of Data Engineering ...

New

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Madison, WI (Hybrid) Duration: 6+months C2H (Contract to Hire) * Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field. * 8-10+ years of Data Engineering ...

New

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 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 ...

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 ...

Senior Data Engineer

Madison, WI · On-site

$106K - $145K/yr

AWS/GCP acceptable) * Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent * Object storage-based data lakes * Parquet format * Lakehouse concepts (Iceberg and/or Delta) Transformation & Modeling ...

Senior Software Engineer - Data

Madison, WI · On-site

$123K - $162K/yr

The Role We are looking for a Senior Software Engineer to drive the evolution of our shared data ... Cloud Native: Deep expertise in AWS infrastructure (RDS, ECS, S3, Lambda, OpenSearch)

DevOps Engineer

Janesville, WI · On-site

$48.50 - $66.50/hr

... s Engineer to own and evolve the cloud infrastructure behind our HIPAA-compliant healthcare ... Our stack is AWS-native and PHI-handling, built on PHP 8.3 / Symfony, React, Aurora MySQL, and ...

Experience with cloud ecosystem (Snowflake, Azure Synapse, AWS) * Experience with business ... Experience with data warehousing and data modeling techniques (Kimball, Data Vault) * Experience ...

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

Turn decades of data into intelligence that helps feed the world. VAS is the Operating System of ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

Turn decades of data into intelligence that helps feed the world. VAS is the Operating System of ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

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Showing results 1-20

Contract Aws Data Engineer information

See Madison, WI salary details

$44.8K

$130.7K

$178.9K

How much do contract aws data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for contract aws data engineer in Madison, WI is $130,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $138,500.00 per year, depending on experience, location, and employer.

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 popular job titles related to Contract Aws Data Engineer jobs in Madison, WI?

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

What job categories do people searching Contract Aws Data Engineer jobs in Madison, WI look for?

The top searched job categories for Contract Aws Data Engineer jobs in Madison, WI are:

Certified Cloud Engineer AWS

NAVA Software Solutions

Madison, WI • On-site

$56.25 - $75/hr

Full-time

Re-posted 8 days ago


Job description

NAVA Software solutions is looking for a Certified Cloud Engineer/ AWS Engineer
Details:
Certified Cloud Engineer/ AWS Engineer
Location: Remote project (Need to be based in WI state)
Duration: 12 months
The Enterprise Analytics Platform (EAP) team supports the development and support of the data lake for the UW System Office and member universities. We are seeking an experienced AWS Redshift Data Engineer to assist our team in designing, developing, and optimizing data pipelines for our AWS Redshift-based data lake house. Priority needs are cloud formation and event-based data processing utilizing SQS to support ingestion and movement of data from Workday to AWS Redshift for consumer and analytic use.
Key Responsibilities:
  • Collaborate with data engineering, business analysts, and development teams to design, develop, test, and maintain robust and scalable data pipelines from Workday to AWS Redshift.
  • Architect, implement, and manage end-to-end data pipelines, ensuring data accuracy, reliability, data quality, performance, and timeliness.
  • Provide expertise in Redshift database optimization, performance tuning, and query optimization.
  • Assist with design and implementation of workflows using Airflow.
  • Perform data profiling and analysis to troubleshoot data-related challenges / issues and build solutions to address those concerns.
  • Proactively identify opportunities to automate tasks and develop reusable frameworks.
  • Work closely with version control team to maintain a well-organized and documented repository of codes, scripts, and configurations using Git/Bitbucket.
  • Provide technical guidance and mentorship to fellow developers, sharing insights into best practices, tips, and techniques for optimizing Redshift-based data solutions.

Required Qualifications and Skills:
  • Advanced hands-on experience designing AWS data lake solutions.
  • Experience integrating Redshift with other AWS services, such as DMS, Glue, Lambda, S3, Athena, Airflow.
  • Proficiency in Python programming with a focus on developing efficient Airflow DAGs and operators.
  • Experience with Pyspark and Glue ETL scripting including functions like relationalize, performing joins and transforming dataframes with pyspark code.
  • Competency developing CloudFormation templates to deploy AWS infrastructure, including YAML defined IAM policies and roles.
  • Experience with Airflow DAG creation.
  • Familiarity with debugging serverless applications using AWS tooling like Cloudwatch Logs & Log Insights, Cloudtrail, IAM.
  • Ability to work in a highly complex python object oriented platform.
  • Strong understanding of ETL best practices, data integration, data modeling, and data transformation.
  • Proficiency in identifying and resolving performance bottleneck and fine-tuning Redshift queries.
  • Familiarity with version control systems, particularly Git, for maintaining a structured code repository.
  • Strong coding and problem-solving skills, and attention to detail in data quality and accuracy.
  • Ability to work collaboratively in a fast-paced, agile environment and effectively communicate technical concepts to non-technical stakeholders.

Additional Useful Experience:
  • Docker
  • Airflow Server Administration
  • Parquet file formats
  • AWS Security
  • Jupyter Notebooks
  • API Best Practices, API Gateway, Route Structuring and standard API authentication protocols including tokens
  • Git, Git flow best practices
  • Release management and DevOps
  • Shell scripting
  • AWS certifications related to data engineering or databases are a plus.
  • Experience with DevOps technologies and processes.
  • Experience with complex ETL scenarios, such as CDC and SCD logics, and integrating data from multiple source systems.
  • Experience in converting Oracle scripts and Stored Procedures to Redshift equivalents.
  • Experience working with large-scale, high-volume data environments.
  • Exposure to higher education, finance, and/or human resources data is a plus.
  • Proficiency in SQL programming and Redshift stored procedures for efficient data manipulation and transformation.

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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