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Weekend Amazon Data Engineer Jobs in Cape Cod, MA

Senior Data Engineer

Cambridge, MA ยท On-site

$115K - $157K/yr

We are looking for a Senior Data Engineer to join a multidisciplinary team focused on healthcare ... Retrieve, explore, and analyze data stored in Amazon S3 using AWS Athena and Amazon SageMaker

Data Engineer

Somerville, MA ยท On-site

$125K - $150K/yr

Experience working with cloud data platforms such as Snowflake, Azure Synapse, Amazon Redshift, etc ... Strong programming skills and proficient in other programming languages (e.g., SAS, R, and Python)

Data Engineer

Somerville, MA

$125K - $150K/yr

Experience working with cloud data platforms such as Snowflake, Azure Synapse, Amazon Redshift, etc ... Strong programming skills and proficient in other programming languages (e.g., SAS, R, and Python)

Strong knowledge of Oracle, PostgreSQL, Amazon Redshift, and Amazon Aurora databases * Experience ... data engineering experience * 5+ years of hands-on experience with Apache Kafka and event-driven ...

Principal, Data Engineer

Woburn, MA ยท On-site

$170K - $213K/yr

Deep experience with major cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and with modern data platforms such as Databricks or Snowflake. * Strong ...

Strong knowledge of Oracle, PostgreSQL, Amazon Redshift, and Amazon Aurora databases * Experience ... data engineering experience * 5+ years of hands-on experience with Apache Kafka and event-driven ...

Cloud Data Engineer

Quincy, MA ยท Hybrid

$120K - $144K/yr

Amazon Web Services (AWS) Certification or Cloud Data Engineer Certification * Informatica (IICS) and Airflow (Orchestration) experience * Snowflake certification * Cognos and/or Tableau reporting ...

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Principal Data Engineer

Boston, MA ยท On-site +1

$141K - $166K/yr

... Amazon Web Services (AWS), Snowflake, and Python. Manages data integration, ensuring high data ... Conferswith systems analysts and other software engineers/developers to design systems and to ...

Databricks Data Engineer II

Boston, MA ยท On-site

$124K - $149K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Sr Databricks Data Engineer

Boston, MA ยท On-site

$124K - $149K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Software Engineering Sr. Data Engineer

Boston, MA ยท On-site +1

$98K - $141K/yr

THE ROLE In conjunction with the Investment Data Management Office, the Senior Data Engineer ... Development Experience in Cloud based PAAS platforms like Microsoft Azure, Google GCP or Amazon AWS

Senior Data Engineer

Boston, MA ยท On-site

$115K - $156K/yr

The Crown Is Yours As a Senior Data Engineer, you'll build the data capabilities that power ... Experience working with cloud infrastructure, preferably Amazon Web Services (AWS), along with ...

Senior Data Engineer

Boston, MA

$115K - $156K/yr

The Crown Is Yours As a Senior Data Engineer, you'll build the data capabilities that power ... Experience working with cloud infrastructure, preferably Amazon Web Services (AWS), along with ...

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Showing results 1-20

Weekend Amazon Data Engineer information

See Cape Cod, MA salary details

$47.7K

$139.1K

$190.3K

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

As of Jul 26, 2026, the average yearly pay for weekend amazon data engineer in Cape Cod, MA is $139,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,700.00 and $147,400.00 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.

What are popular job titles related to Weekend Amazon Data Engineer jobs in Cape Cod, MA? For Weekend Amazon Data Engineer jobs in Cape Cod, MA, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Cape Cod, MA look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Cape Cod, MA are:
What cities near Cape Cod, MA are hiring for Weekend Amazon Data Engineer jobs? Cities near Cape Cod, MA with the most Weekend Amazon Data Engineer job openings:

Senior Data Engineer

Amaris Consulting

Cambridge, MA โ€ข On-site

$115K - $157K/yr

Other

Posted 10 days ago


Job description

We are looking for a Senior Data Engineer to join a multidisciplinary team focused on healthcare data engineering, analytics, and AI-driven solutions. In this role, you will work with large-scale physiological, medical device, and electronic medical record (EMR) datasets to support data quality, predictive modeling, and advanced analytics initiatives.

You will collaborate with data scientists, software engineers, biomedical specialists, and IT teams to ensure reliable data pipelines, investigate data integrity issues, and contribute to the development and validation of machine learning models.


Location

Cambridge, Massachusetts, USA (On-site)


Key Responsibilities

  • Retrieve, explore, and analyze data stored in Amazon S3 using AWS Athena and Amazon SageMaker.
  • Perform data wrangling by identifying missing data, time synchronization issues, anomalies, and measurement artifacts.
  • Transform and parse CSV and XML datasets into scalable databases such as InfluxDB.
  • Develop and maintain batch processing workflows using Python and Bash to inventory, process, and validate incoming device data.
  • Investigate data quality issues through Athena, SageMaker, and Jupyter Notebooks to identify problems related to data curation, system configuration, storage, or performance.
  • Troubleshoot data transfer and collection issues in collaboration with biomedical teams, IT stakeholders, and internal engineering teams.
  • Analyze physiological, vital sign, and EMR datasets to support predictive analytics and AI/ML model development.
  • Validate statistical and machine learning outputs by comparing Python-generated results with SAS analyses produced by biostatistics teams.
  • Simulate retrospective healthcare datasets using a Virtual Hospital Simulator to evaluate and test surveillance algorithms.
  • Contribute to continuous improvements in data engineering processes, data quality, and analytical workflows.


Required Qualifications

  • 7โ€“10 years of experience in Data Engineering, Data Analytics, or a related technical field.
  • Strong proficiency in Python for data processing and automation.
  • Experience with AWS services, particularly Amazon S3, Athena, and SageMaker.
  • Experience working with Jupyter Notebooks.
  • Solid understanding of ETL processes, data transformation, and data validation.
  • Experience handling structured and semi-structured data formats, including CSV and XML.
  • Familiarity with batch scripting using Bash.
  • Strong analytical and troubleshooting skills with a focus on data quality and integrity.
  • Experience working with SQL and large datasets.
  • Excellent communication and collaboration skills in cross-functional environments.


Nice to Have

  • Experience with InfluxDB or other time-series databases.
  • Knowledge of AI/ML workflows and predictive analytics.
  • Experience working with physiological, medical device, or EMR data.
  • Familiarity with SAS and statistical validation processes.
  • Experience in the healthcare, medical technology, or life sciences industry.
  • Exposure to biomedical data analysis or clinical data environments.


Why choose us

  • An international community bringing together more than 110 different nationalities
  • An environment where trust is central: 70% of our leaders started their careers at the entry level
  • A strong training system with our internal Academy and more than 250 modules available
  • A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)


Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.