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Weekend Amazon Data Engineer Jobs in Boston, MA (NOW HIRING)

Beacon Biosignals

Principal Data Engineer

Boston, MA · On-site +1

$190K - $210K/yr

Beacon Biosignals is seeking a Principal Data Engineer to join our Datastore team. The Datastore ... Amazon Kinesis * Strong proficiency in a modern general-purpose language; proficiency in the ...

MFS

DBT Investment Lead Data Engineer

Boston, MA · Hybrid

$124K - $149K/yr

... Lead Data Engineer contributes to a long-term strategic initiative to unify and harmonize our ... Development Experience in Cloud based PAAS platforms like Microsoft Azure, Google GCP or Amazon AWS ...

Doist

Principal Data Engineer

Boston, MA · On-site

$190 - $210/hr

Beacon Biosignals is seeking a Principal Data Engineer to join our Datastore team. The Datastore ... Amazon Kinesis * Strong proficiency in a modern general-purpose language; proficiency in the ...

Beacon Biosignals

Principal Data Engineer

Boston, MA · On-site +1

$190K - $210K/yr

Beacon Biosignals is seeking a Principal Data Engineer to join our Datastore team. The Datastore ... Amazon Kinesis * Strong proficiency in a modern general-purpose language; proficiency in the ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Boston, MA

Weekend Amazon Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

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

As of Aug 23, 2026, the average yearly pay for weekend amazon data engineer in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 per year, depending on experience, location, and employer.

What is a Weekend Amazon Data Engineer?

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 a Weekend 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 the most commonly searched types of Amazon Data Engineer jobs in Boston, MA?

The most popular types of Amazon Data Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Weekend Amazon Data Engineer jobs?

Cities near Boston, MA with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Principal Data Engineer

Beacon Biosignals

Boston, MA • On-site, Remote

$190K - $210K/yr

Full-time

PTO

Posted 22 days ago

Job description

Beacon Biosignals is seeking a Principal Data Engineer to join our Datastore team. The Datastore sits at the heart of Beacon's platform. It defines our foundational data model and serves as the centralized repository and API for brain data collected from clinical studies, supporting the analytical tools, services, and applications used by our scientists, clinicians, and partners.

This role emphasizes the architecture and design of solutions spanning the Beacon Platform, with a focus on scalable data models to serve expanding business needs, event-driven pipelines, and engineering best practices. You will coach engineers and stakeholders of the Datastore on design patterns, collaborate with product and technical leads across platform and scientific teams, and help shape architectural direction and standards across Platform teams.

Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs available located in Boston, New York and Paris. This role is fully remote working anywhere in the US.

What success looks like

  • You partner with engineering and product leaders and Datastore stakeholders to guide architecture and solutions for the Beacon Datastore, and influence architectural standards across Platform teams
  • You implement features that model best practices, and coach team members to develop their skills. You hold the Datastore to ever higher standards for data integrity, design soundness, and maintainability as it grows
  • You draft RFCs to lead complex feature discovery and technical design phases, soliciting and incorporating input and building alignment on the decisions that guide development

What you will bring

  • 10+ years of backend development experience, including significant experience focused on data engineering, data platforms, and infrastructure for data-centric applications
  • Strong proficiency in SQL, with production experience working with PostgreSQL
  • Proficiency with data streaming and event processing, using tools such as Kafka, RabbitMQ, Pulsar, or a cloud-based equivalent like Amazon Kinesis
  • Strong proficiency in a modern general-purpose language; proficiency in the Datastore's specific stack (SQL/TypeScript/Julia) is not required, but you should be able and excited to learn quickly!
  • Experience with, or interest in, using LLM-assisted or agentic coding tools in a production setting, with good judgment about what guardrails are needed
  • Experience deploying and operating services in containerized environments, with familiarity in Kubernetes and Infrastructure as Code (IaC) tools such as Terraform and/or Helm
  • A collaborative mindset - you enjoy working across disciplines and believe people achieve more together than alone
  • Excellent written and verbal communication skills, especially in asynchronous and remote-friendly environments

We don't expect every candidate to check every box. If you bring strong fundamentals, care about data infrastructure for health, and are excited to learn, we'd love to hear from you!

The salary range for this role is $190,000 - $210,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location.The base salary is one component of the total compensation package, which includes equity, PTO, and other benefits.

At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.

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