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Weekend Amazon Data Engineer Jobs in Anchorage, AK

Cruz Construction, Inc

Project Engineer

Palmer, AK · On-site +1

Weekend work required to complete assignments is typical. Mandatory overtime based on seasonal ... analyze data. * Knowledge of materials, methods, and the tools involved the heavy remote ...

Cruz Construction

Project Engineer

Palmer, AK · On-site

Weekend work required to complete assignments is typical. Mandatory overtime based on seasonal ... analyze data. * Knowledge of materials, methods, and the tools involved the heavy remote ...

Cruz Construction

Project Engineer

Palmer, AK · On-site

Weekend work required to complete assignments is typical. Mandatory overtime based on seasonal ... analyze data. * Knowledge of materials, methods, and the tools involved the heavy remote ...

Cruz Construction, Inc

Project Engineer

Palmer, AK · On-site

$90K - $130K/yr

Weekend work required to complete assignments is typical. Mandatory overtime based on seasonal ... analyze data. * Knowledge of materials, methods, and the tools involved the heavy remote ...

Cruz Construction

Project Engineer Intern

Palmer, AK · On-site

$16.50 - $21.50/hr

Weekend work required to complete assignments is typical. Mandatory overtime based on seasonal ... Document project activities and data, as required. * Confer with supervisor to determine project ...

Cruz Construction, Inc

Project Engineer Intern

Palmer, AK · On-site

$16.50 - $21.50/hr

Weekend work required to complete assignments is typical. Mandatory overtime based on seasonal ... Document project activities and data, as required. * Confer with supervisor to determine project ...

Cruz Construction, Inc

Project Engineer Intern

Palmer, AK

$16.50 - $21.50/hr

Weekend work required to complete assignments is typical. Mandatory overtime based on seasonal ... Document project activities and data, as required. * Confer with supervisor to determine project ...

Cruz Construction

Project Engineer Intern

Palmer, AK · On-site

$16.50 - $21.50/hr

Weekend work required to complete assignments is typical. Mandatory overtime based on seasonal ... Document project activities and data, as required. * Confer with supervisor to determine project ...

LINKAN ENGINEERING LTD

Operator III

Wasilla, AK · On-site

$30 - $55/hr

Record operating data, chemical usage, meter readings, laboratory results, inspections, and ... Coordinate with project managers, engineers, supervisors, clients, and fellow operators to ensure ...

Shannon & Wilson Inc

Lab Technician (Mid-Level)

Anchorage, AK · On-site

$19.50 - $25.75/hr

Since 1954, we have delivered comprehensive engineering and environmental solutions for the most ... Process test data using computer software. * Communicate test progress and present test results.

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Anchorage, AK

Weekend Amazon Data Engineer information

See Anchorage, AK salary details

$45.5K

$132.6K

$181.4K

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

As of Aug 8, 2026, the average yearly pay for weekend amazon data engineer in Anchorage, AK is $132,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $140,500.00 per year, depending on experience, location, and employer.

How much do Weekend Amazon Data Engineers make?

Weekend Amazon Data Engineers typically earn between $50,000 and $100,000 annually, depending on experience, location, and skill set. Compensation may include benefits such as flexible schedules, cloud tools, and data processing platforms like AWS and Spark.

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.

Weekend Amazon Data Engineer jobs near you

Software Engineer, Data Infrastructure & Acquisition - Anchorage, AK, USA

Speechify

Anchorage, AK • On-site

$117K - $140K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do
  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have
  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer
  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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