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Weekend Amazon Data Engineer Jobs in Rochester, NY

SpaceX

Yield Engineer (Starlink/Akoustis)

Canandaigua, NY · On-site

$95K - $130K/yr

Strong analytical skills with demonstrated ability in data analysis, root cause identification, and ... Must be willing to work extended hours and weekends as needed to meet critical milestones * This ...

Amazon

Sr. Operations Manager

Rochester, NY · On-site

... overnight, weekends and holidays - 7+ years direct management experience, including a salaried ... in Engineering, Operations or related field. MBA preferred Amazon is an equal opportunity employer ...

Deloitte

Software Product Architect

Rochester, NY · On-site

... programming languages, data science, and modern frameworks, consistently demonstrating your ... Azure, Amazon Web Services, or Google Cloud Platform * 2+ years of experience with prompt ...

SpaceX

RF Test Engineer (Starlink/Akoustis)

Canandaigua, NY · On-site

$95K - $130K/yr

Proven experience with: automated wafer probe station, VNA systems, design of probe cards and data ... Must be willing to work extended hours and weekends as needed to meet critical milestones * This ...

SpaceX

RF Test Engineer (Starlink/Akoustis)

Canandaigua, NY · On-site

$95K - $130K/yr

Proven experience with: automated wafer probe station, VNA systems, design of probe cards and data ... Must be willing to work extended hours and weekends as needed to meet critical milestones * This ...

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Weekend Amazon Data Engineer information

See Rochester, NY salary details

$43.9K

$128K

$175.1K

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

As of Jun 4, 2026, the average yearly pay for weekend amazon data engineer in Rochester, NY is $127,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

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 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 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 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 Rochester, NY? The most popular types of Amazon Data Engineer jobs in Rochester, NY are:
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Weekend Amazon Data Engineer jobs near you

Go-to-Market Engineer - Rochester, NY, USA

Speechify

Rochester, NY • On-site

$150K - $200K/yr

Full-time

Posted 5 days ago

Job description

Mission
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. 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. 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.
About SIMBA Voice Agents by Speechify
SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We're growing fast and need the systems to match - which means building the outbound engine, sales infrastructure, and automation stack that fills pipeline and keeps it moving.
About the Role
We're hiring our first GTM Engineer for SIMBA. You'll build and own the technical systems that power our outbound motion - from lead enrichment and sequencing to CRM architecture and AI-powered personalization at scale.
This is purely an infrastructure and systems role. You'll be the person behind the scenes making sure the right prospects get the right message at the right time, and that the Sales team has the tooling and data to close. If you've built outbound systems from scratch, live inside Clay and Apollo, and measure your work in pipeline influenced - read on.
What You'll Do
  • Build and maintain SIMBA's outbound infrastructure - lead sourcing, enrichment pipelines, scoring models, and sequencing workflows that run at scale
  • Own the GTM tech stack end-to-end: CRM (HubSpot/Salesforce), enrichment (Clay, Apollo, Clearbit), sequencing (Outreach, Instantly), and the glue between them
  • Deploy AI agents for automated prospect research, personalized outreach generation, and follow-up workflows - reducing manual work for the Sales team
  • Instrument the full top-of-funnel: track what's working, cut what isn't, and continuously optimize for meetings booked and pipeline created
  • Build integrations and automations via APIs, webhooks, and tools like Zapier/Make to keep data clean and systems in sync
  • Evaluate and adopt new AI and GTM tooling rapidly - be the team's resident expert on what's emerging and what's worth building on

What We're Looking For
  • Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean
  • You've personally built outbound systems from scratch - enrichment pipelines, multi-step sequences, lead scoring - not just managed existing ones
  • Deep hands-on experience with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, Outreach or Instantly, Zapier/Make, Webhooks, REST APIs
  • You think in funnels and measure everything - pipeline influenced, reply rates, meeting conversion, and cost per opportunity are metrics you track obsessively
  • You ship fast, keep things simple, and don't wait for permission

Nice to Have
  • Experience building GTM systems for an AI, voice, or developer-tools product
  • Familiarity with contact center, CX, or telephony buyer personas
  • Background at a B2C company that also runs a B2B or API sales motion

Why Speechify SIMBA
Build a product that genuinely impresses prospects - sub-second latency and 71+ languages speaks for itself. You'll have high ownership with direct input on GTM strategy, work alongside a team that stays embedded with customers, and operate in a fast-moving environment where your systems have outsized impact.
The United States Salary range for this role is - $105,000-$140,000 base salary. On-target earnings of $150,000-$200,000.
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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