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Remote Amazon Data Engineer Jobs in Milwaukee, WI

This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel ... Build and maintain data pipelines, model integration layers, and inference infrastructure for real ...

Senior Modeling Engineer

Milwaukee, WI · On-site +1

$103K - $141K/yr

What You Will Do Johnson Controls' Data Center Thermal Technology Solutions group is seeking a ... also be a remote opportunity for the right candidate! How You Will Do It * Develop numerical ...

... on PLCs and HMIs, and pulling data directly from manufacturing machines. Day to Day ... remote position. Application Deadline This position is anticipated to close on Sep 4, 2026. About ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Showing results 41-60

Remote Amazon Data Engineer information

See Milwaukee, WI salary details

$43.8K

$127.8K

$174.9K

How much do remote amazon data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote amazon 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 does a remote Amazon data engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What are the key skills and qualifications needed to thrive as a remote Amazon data engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by remote Amazon data engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

Can I work remotely as a remote amazon data engineer?

Yes, many Amazon Data Engineer roles are available as remote positions, allowing professionals to work from home or other locations. These roles typically require strong skills in data pipelines, cloud platforms like AWS, and relevant certifications, with companies often providing remote work options depending on the team and project needs.

How much do remote Amazon data engineers make?

Remote Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Salaries can vary based on factors such as certifications, expertise in tools like AWS and Spark, and the level of seniority in the role.

What are the most commonly searched types of Amazon Data Engineer jobs in Milwaukee, WI?

The most popular types of Amazon Data Engineer jobs in Milwaukee, WI are:

What are popular job titles related to Remote Amazon Data Engineer jobs in Milwaukee, WI?

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

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

The top searched job categories for Remote Amazon Data Engineer jobs in Milwaukee, WI are:

Lead Data Scientist - IntelliScript (Remote)

Milliman

Brookfield, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Milliman rating

8.5

Company rating: 8.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

What We Do
Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world.
Candidates who have their pick of jobs are drawn to IntelliScript's entrepreneurial and collaborative culture of innovation, excellence, exceptional customer service, balance, and transparency. Every single person has a voice in our company, and we challenge each other to push the outer limits of our full, diverse potential. And we've shown sustained growth that ensures you'll have room to grow your skillset, responsibilities, and career.
Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our LinkedIn page for a closer look at our company and learn more about our cultural values here.
Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our website to learn more about Milliman's commitments to our people, diversity and inclusion, social impact, and sustainability.
What this position entails
Milliman, Inc. is recognized as a top firm that provides data, products, and professional services to the insurance industry. IntelliScript is a practice within Milliman that provides health and life insurers with real-time data and underwriting decision support tools via software-as-a-service (SaaS). IntelliScript offers an innovative suite of products which interpret and deliver electronic medical data (such as prescription histories, diagnoses, treatment data, etc.) to help our clients make effective underwriting and pricing decisions. Our company offers a unique entrepreneurial culture that also promotes work / life balance. IntelliScript has enjoyed consistent growth and is the leader in the markets we serve, where our scoring products are industry standards.
The Lead Data Scientist will be integral as we continue to bring innovative new products to market in response to client needs and opportunities. The Lead Data Scientist will build upon their data science, machine learning, and/or GenAI and Natural Language Processing (NLP) expertise to develop intimate knowledge of our current product capabilities and provide advanced analytical expertise to enhance these products through new solutions. Projects will include construction, validation, documentation and delivery of sophisticated GenAI and machine learning solutions for a variety of healthcare-related problems.
What you will be doing
The key area of responsibility in the role of Lead Data Scientist is to work in conjunction with our business development and product teams to develop and implement commercially viable model-based solutions to the healthcare, insurance, life sciences and adjacent markets.
  • Research, develop, deploy, and maintain traditional AI/ML models following industry best practices
  • Work extensively with available GenAI models; construct exciting solutions to internal and external use cases across markets and enhance our internal capabilities through centralized internal tooling and thought leadership
  • Coordinate with Product, Business Development, ML Engineering, and IT to bring new and exciting data science products to market, as well as support existing industry leading products
  • Help drive best practices and continuous improvement on the data science team; influencing model design and experimentation strategy through planning, audit, peer review, and other coaching

What we need
  • 10+ years of professional experience using AI/ML to create high return on investment commercial data science solutions
  • Expertise with Electronic Health Records or unstructured data analysis
  • Expert data scientist with demonstrable capability building traditional AI/ML models
    • Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting (XGBoost, LightGBM, CatBoost), and ensemble methods
    • Unsupervised Learning: K-means clustering, hierarchical clustering, PCA, and anomaly detection algorithms
    • Model Validation: Cross-validation strategies, hyperparameter optimization (Grid Search, Random Search, Bayesian optimization), and A/B testing frameworks
    • Deep Learning Architectures: Neural networks, transformers, and transfer learning methodologies
    • NLP Algorithms: Text preprocessing, TF-IDF, word embeddings (Word2Vec, GloVe), topic modeling (LDA), sentiment analysis, and named entity recognition
  • Expert understanding of NLP and generative AI; able to effectively use, fine-tune, and evaluate commercially available models as well as deploy and integrate local LLMs into the data science process
  • Hands-on experience building GenAI applications (e.g., RAG systems, LLM evaluation frameworks, or GenAI-powered internal tools)
  • Expert level Python programmer, with some experience in R and/or SQL
  • Expert user of Databricks or similar cloud-based model development ecosystem including mlflow, experimentation organization, data catalogs, and compute cluster configuration
  • Sufficient understanding of software engineering best practices such as Git for version control, unit testing, local development, and environment management
  • Knowledge of ML Engineering and ML Ops related concepts and tools including CICD pipelines, GitHub Actions, Docker, AWS Lambda, and Linux
  • Degree in a relevant field (computer science, data science, statistics, mathematics, applied math, actuarial science, economics, etc.)

What you bring to the table
  • Excellent communication skills, in person and through phone / email
  • Proven ability to understand client analytical needs, translate them into an action plan, then execute and deliver
  • Customer-centric approach to finding solutions
  • Focused on results and able to explain findings in a way that answers business problems
  • Constructive, "can do" approach to overcoming obstacles
  • Can quickly learn new techniques and technologies
  • Proactive in identifying process improvements
  • Strong work ethic, willing to pitch in wherever needed
  • Thrive in a small team, without micromanagement
  • Ability to manage projects and timelines, including directing the work of others

Wish List
  • PhD in relevant field or Actuarial designation (FCAS/FSA)
  • Experience in one of the following industries: healthcare, insurance (L&H or P&C), finance, life sciences, or similar fields
  • Experience at an InsurTech or FinTech
  • Past experience working in a HIPAA / PHI / PCI compliant environment

Location
The expected application deadline for this job is December 31, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events.
Compensation
The overall salary range for this role is $117,500 - $249,780. For candidates residing in:
  • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia:
    • $135,125 - $222,985 if overall experience is less than 15 years; and
    • $151,340 - $249,780 for experience greater than 15 years.
  • All other states:
    • $117,500 - $193,900 if overall experience is less than 15 years; and
    • $131,600 - $217,200 for experience greater than 15 years.

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.
Benefits
We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include:
  • Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners
  • Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges
  • 401(k) Plan - Includes a company matching program and profit-sharing contributions
  • Discretionary Bonus Program - Recognizing employee contributions
  • Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses
  • Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis
  • Holidays - A minimum of 10 paid holidays per year
  • Family Building Benefits - Includes adoption and fertility assistance
  • Paid Parental Leave - Up to 11 weeks of paid leave for employees who meet eligibility criteria
  • Life Insurance & AD&D - 100% of premiums covered by Milliman
  • Short-Term and Long-Term Disability - Fully paid by Milliman

Equal Opportunity
All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.
#LI-Remote
#IntelliScript
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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About Milliman

Sourced by ZipRecruiter

Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

Industry

Business management consulting and fitness and sports centers

Company size

1,001 - 5,000 Employees

Headquarters location

Seattle, WA, US