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Weekend Amazon Data Engineer Jobs in Portland, ME

Senior Healthcare Data Engineer

Portland, ME ยท On-site +1

$108K - $147K/yr

Experience with Amazon Web Services (AWS), Azure, and Snowflake. * Data Visualization: Proficiency in data visualization tools such as Tableau, Power BI, or similar, with the ability to create ...

Sr. Software Engineer

Westbrook, ME ยท On-site

$124K - $164K/yr

... data correctness. Hands-on experience with document stores such as Amazon DocumentDB and Google Cloud Datastore is a plus. Familiarity with cloud service providers, particularly Amazon Web Services ...

Senior Software Engineer

Westbrook, ME

$124K - $164K/yr

... data correctness. * Familiarity with cloud service providers, particularly Amazon Web Services and Google Cloud Platform. * Experience with modern engineering practices: version control (Git ...

Experience with cloud integrations including Amazon Web Services and client-to-cloud data flows is a plus * Experience with Elixir and/or React programming or troubleshooting is a plus Qualification ...

Experience with cloud integrations including Amazon Web Services and client-to-cloud data flows is a plus * Experience with Elixir and/or React programming or troubleshooting is a plus Qualification ...

Software Developer II - Android Apps

Portland, ME ยท On-site

$57 - $75/hr

From frontline workers collecting real-time data to teams managing critical field operations, your ... Submitted Android apps to Google Play/Amazon Appstore/other Android marketplaces * Prior experience ...

Sr. Software Developer - Android Apps

Portland, ME ยท On-site

$59.25 - $75.25/hr

Develop software for use in field mapping, data collection, sensor networks, street navigation, and ... Submitted Android apps to Google Play/Amazon Appstore/other Android marketplaces * Prior experience ...

Fire Protection Engineer

Portland, ME ยท On-site +1

$84K - $114K/yr

Summer office hours from Memorial Day Weekend to Labor Day Weekend Skillcloud HCM Solutions has ... If you would like more information about how your data is processed, please contact us. apply for ...

Fire Protection Engineer

Portland, ME ยท On-site

$84K - $114K/yr

Summer office hours from Memorial Day Weekend to Labor Day Weekend Skillcloud HCM Solutions has ... If you would like more information about how your data is processed, please contact us.

Senior Software Engineer

South Portland, ME

$127K - $167K/yr

Support production deployments, which occur on evenings and weekends. Contribute to post-deployment ... Measure, inspect, and drive decisions using data. * Design, test, code, and instrument new ...

Architect

Portland, ME ยท On-site

Engineering is a privately held, multi-disciplinary team of engineers (civil, mechanical ... Summer office hours from Memorial Day Weekend to Labor Day Weekend Responsibilities of the ...

Architect

Portland, ME ยท On-site +1

Engineering is a privately held, multi-disciplinary team of engineers (civil, mechanical ... Summer office hours from Memorial Day Weekend to Labor Day Weekend Responsibilities of the ...

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Showing results 1-20

Weekend Amazon Data Engineer information

See Portland, ME salary details

$45.5K

$132.7K

$181.6K

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

As of Jun 14, 2026, the average yearly pay for weekend amazon data engineer in Portland, ME is $132,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $140,700.00 per year, depending on experience, location, and employer.

What are Weekend Amazon Data Engineers?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for an Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

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

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

Senior Healthcare Data Engineer

Senior Healthcare Data Engineer

BerryDunn

Portland, ME โ€ข On-site, Remote

$108K - $147K/yr

Full-time

Posted 10 days ago


Job description

Overview

BerryDunn's Healthcare Analytics Practice Group is looking for aย Senior Healthcare Data Engineer to join and grow with our practice. Our Data Management and Strategy Practice provides end-to-end data management services to clients across public and private sectors.ย This position is an attractive opportunity if you're looking to pivot into the consulting space and have a strong interest in developing a wide range of skills and expertise in healthcare data management and analytics. You can expect a range of projects including, but not limited to:

  • Enterprise data management advisory
  • Data quality and system analysis
  • Business requirements solicitation and analysis
  • Designing and building data pipelines, warehouses, data integration, and business intelligence solutions.

You can be in-office in eitherย Portland, ME or Manchester, NH or potentially remoteย 

You Will
  • Contribute to all aspects of the Systems Development Lifecycle: Engage in planning, analysis, design, and development of data management, data integration, data warehouse, and business intelligence solutions.
  • Participate in Goal Setting: Engage in discussions with the team, clients, and project sponsors to determine project goals and set priorities.
  • Translate Requirements: Convert business and technical requirements into detailed data analysis and system design specifications.
  • Implement and Maintain Data and Analytic Solutions: Utilize database, programming, and ETL tools to implement and maintain data management and warehousing solutions, creating valuable data analytics assets for clients.
  • Collaborate with Interested Parties: Work closely with clients and the BerryDunn team to analyze systems, gather requirements, map data pipelines, and assess data quality.
  • Ensure Data Quality: Conduct data quality analysis, investigate and resolve issues to ensure data integrity and accuracy.
  • Develop Reports and Analytics: Create and deliver reports and analytic applications using suitable business intelligence or custom tools to meet client needs.
  • Optimize Processes: Improve efficiency and reliability of client and BerryDunn data processes through innovative solutions and best practices.
  • Leverage AI: Use Artificial Intelligence tools to enhance productivity and improve project deliverables.
  • Support Cross-Functional Teams: Collaborate with other groups within BerryDunn to provide support for data and system analysis, data pipeline engineering, and data architecture.
  • Mentor and Lead: Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.
  • Stay Current with Industry Trends: Keep abreast of the latest trends and technologies in data engineering, healthcare analytics, and data science to ensure BerryDunn remains at the forefront of the industry.
  • Ensure Compliance and Security: Ensure all data solutions comply with industry standards, regulations, and security protocols, particularly those specific to healthcare.
You Have
  • Extensive Data Engineering Experience: A minimum of five years of experience in data engineering, database development, or data warehouse ETL development.
  • Business and System Analysis: A minimum of five years of experience in gathering, analyzing, and defining business and system requirements.
  • Programming Proficiency: Intermediate to advanced SQL and Python skills, with a proven ability to write complex queries and optimize database performance. Experience with SAS and other technologies is a plus.
  • Cloud Technologies: Experience with Amazon Web Services (AWS), Azure, and Snowflake.
  • Data Visualization: Proficiency in data visualization tools such as Tableau, Power BI, or similar, with the ability to create insightful and actionable visual reports.
  • API Integration: Experience in developing and consuming APIs for data integration and ensuring seamless data flow between systems.
  • Agile Methodologies: Experience working in Agile/Scrum environments, with the ability to adapt to fast-paced, iterative development processes.
  • Security Best Practices: Knowledge of data security best practices, including encryption, access controls, and compliance with data privacy regulations (e.g., HIPAA).
  • Data Quality Expertise: Strong ability to analyze data with a focus on identifying and resolving data quality issues, ensuring data integrity and accuracy.
  • Analytical and Problem-Solving Skills: Demonstrated interest in developing a wide range of data analytics skills to be applied across multiple, diverse projects in a dynamic and changing environment.
  • Team Orientation: A team-oriented mindset with a friendly and professional demeanor, coupled with the ability to remain flexible amid changing needs and priorities.
  • Collaboration Skills: Ability to work effectively with coworkers and diverse clients through periods of both intense interaction and self-directed work.
  • Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Project Management Abilities: Experience in managing projects or leading teams, with strong organizational skills and attention to detail.
  • Healthcare Knowledge: Prior experience or familiarity with healthcare data standards, regulations, and practices is a plus.
  • Educational Background: A bachelor's degree in computer science, mathematics, statistics, economics, engineering, or another discipline with substantial quantitative coursework. Advanced degrees or relevant certifications are a plus.

Preferred Qualifications:

  • Healthcare claims data experience.
  • Experience working for or directly with a Medicaid agency.
  • Basic understanding of machine learning concepts and experience with implementing machine learning models.
  • Ability to support work in multiple time zones, as needed.ย 

We welcome professionals at various experience levels to apply. Level of hire will be commensurate with experience level.ย 

Compensation Details

The base salary range targeted for this role is $85,000 to $125,000. This salary range represents BerryDunn's good faith and reasonable estimate of the range of possible compensation at the time of posting. If an applicant possesses experience, education, or other qualifications in excess of the minimum requirements for this posting, that applicant is encouraged to apply and a final salary range may then be based on those additional qualifications; compensation decisions are dependent on the facts and circumstances of each case. The salary of the finalist selected for this role will be based on a variety of factors, including but not limited to, years of experience, depth of experience, seniority, merit, education, training, amount of travel, and other relevant business considerations.

BerryDunn Benefits & Culture

Our people are what make BerryDunn special, and in return we strive to support our employees and help them thrive. Eligible employees have access to benefits that go beyond what's expected to support their physical, mental, career, social, and financial well-being. Visit our website for a complete list of benefits and a look into our culture:ย Experience BerryDunn.

We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process or perform essential job functions. Please contactย careers@berrydunn.comย to request an accommodation.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

ย 

About BerryDunn

BerryDunn is the brand name under which Berry, Dunn, McNeil & Parker, LLC and BDMP Assurance, LLP, independently owned entities, provide services. Since 1974, BerryDunn has helped businesses, nonprofits, and government agencies throughout the US and its territories solve their greatest challenges. The firm's tax, advisory, and consulting services are provided by Berry, Dunn, McNeil & Parker, LLC, and its attest services are provided by BDMP Assurance, LLP, a licensed CPA firm.ย 

BerryDunn is a client-centered, people-first professional services firm with a mission to empower the meaningful growth of our people, clients, and communities. Led by CEO Sarah Belliveau, the firm has been recognized for its efforts in creating a diverse and inclusive workplace culture, and for its focus on learning, development, and well-being. Learn more atย berrydunn.com.

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Employment Type: FULL_TIME