Engineering Jobs No Experience Jobs in Appleton Remote

Neenah, Wisconsin, Route 41 Pizza, LLC

Team Honey Badger- Where your dreams become reality!

Domino's, the industry leader in pizza delivery, is looking for enthusiastic and reliable Delivery Drivers to join our team. This is more than just a driving job! You'll be the face of Domino's, delivering hot meals and great customer service to our community.

Whether you're searching for a flexible part-time job, a second source of income, or a full-time career path, Domino's delivery driver positions can fit your lifestyle.

Why Drive With Domino's?

• Flexible Scheduling: Choose shifts that work for youmornings, evenings, weekends, or anything in between.
• Career Growth: Many Domino's managers started as delivery drivers. Advancement opportunities are always available for motivated team members.
• Competitive Pay & Perks: Hourly wages + tips + mileage reimbursement add up fast. Team members 18+ also have access to next-day pay through Branch.
• Fun Team Environment: Work with a supportive crew while delivering pizza, sides, and smiles.

What You'll Do:

• Safely deliver pizzas and other menu items to customers.
• Represent Domino's with excellent customer service.
• Navigate delivery routes efficiently using your own vehicle.
• Follow traffic laws and store safety procedures.
• Assist with basic in-store tasks between deliveries.

Compensation: $9.00 - $9.50 per hour plus tips and mileage! Earn up to $30/hr!

Start Driving Your Career With Domino's! Join the #1 pizza delivery company today. Apply online now and see why being a Domino's Delivery Driver is the perfect mix of fun, flexibility, and opportunity.

What You'll Need:

• At least 18 years old with 2 years of driving experience, OR 19 years old with 1 year of driving experience.
• A valid driver's license and good driving record.
• A reliable personal vehicle with insurance.
• A working smartphone.
• A positive attitude, punctuality, and reliability.
• Facial tattoos are not permitted. Some facial piercings may be allowed but limited.

All your information will be kept confidential according to EEO guidelines.

This job posting is for a position in a store owned and operated by an independent franchisee, not Domino's Pizza LLC, Domino's Pizza Franchising LLC, or Domino's Pizza, Inc. (\"Domino's Corporate\"). This means, among other things, that the independent franchisee is alone responsible for and will independently make all decisions concerning employment matters for the store, including those relating to hiring, firing, discipline, supervision, compensation and benefits, staffing, and scheduling. Domino's will not receive a copy of any application you submit for this job posting and will not have any control over whether you receive an interview and/or are ultimately hired. Further, Domino's does not control and is not responsible for the employment policies and practices of independent franchisees. If you are hired for this job posting, the independent franchisee will be your only employer, and you will not be an employee of Domino's.

Job Title: QA Automation Engineer II

Location: Jersey City, NJ(Hybrid)

Duration: 9+ Months (Extendable)

(\"US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.")

A reasonable, good faith estimate of the minimum and maximum hourly rate on W2 for this position is $55 to $67 with limited benefits.

Job Description:

• 7+ years of proven experience in software quality assurance with a strong focus on test automation.
• 2+ years of experience in testing and validating ETL processes and data workflows, including data integrity, transformation validation, and end-to-end data pipeline testing.
• Strong experience with automation frameworks using Selenium WebDriver with Java or C#.
• Hands-on experience in API and web services testing using automation tools such as Apache JMeter and Rest Assured.
• Experience designing, developing, and maintaining automated test suites for UI, API, and integration testing.
• Experience executing and managing automated test scripts within CI/CD pipelines using tools such as Jenkins and Bamboo.
• Ability to integrate automated test execution into continuous integration and continuous delivery workflows to support automated validation during builds and deployments.
• Experience analyzing test results, troubleshooting failures, and improving reliability of automated test frameworks.
• Good understanding of test orchestration, and automated test reporting in CI/CD environments.
• Good to have: Experience testing applications deployed in cloud environments such as Amazon Web Services.
• Strong collaboration skills with development, DevOps, and QA teams to ensure high-quality software delivery.

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION