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Full Stack Data Engineer Jobs in Alden, NY (NOW HIRING)

Lovable

Analytics Engineer

Boston, NY · On-site

What we're looking for We're looking for an Analytics Engineer with a background in Data Engineering or Analytics Engineering who operates as a true full-stack analyst, owning everything from raw ...

Linde Group

Senior Software Developer

Tonawanda, NY

$51.75 - $68.50/hr

Architect and lead full-stack development of large-scale operational software, owning engineering decisions to build robust and maintainable systems * Stay current with evolving technologies and ...

Linde

Senior Software Developer

Tonawanda, NY

$51.75 - $68.50/hr

Architect and lead full-stack development of large-scale operational software, owning engineering decisions to build robust and maintainable systems * Stay current with evolving technologies and ...

Compass

Senior Software Engineer I

Boston, NY

$115K - $152K/yr

Strong engineering fundamentals across the full stack, with a clear preference and passion for backend architecture, data systems, and API design . * Strong proficiency in backend languages such as ...

1 point system

Angular Developer

Buffalo, NY · Remote

$56 - $68.50/hr

Full stack developer with Java or .Net experience, interfacing with an Angular app (required) 1). .Net: 2). Java: 2). Angular: Microservices Front End (required) Banking and/or Financial domains ...

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Showing results 21-40

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Alden, NY

Full Stack Data Engineer information

See Alden, NY salary details

$42.3K

$128.1K

$181K

How much do full stack data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for full stack data engineer in Alden, NY is $128,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $150,100.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

What cities near Alden, NY are hiring for Full Stack Data Engineer jobs?

Cities near Alden, NY with the most Full Stack Data Engineer job openings:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Alden, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 10% Part Time, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,073 per year, or $61.6 per hour.

Founding AI Lead Engineer (YC experience)

Pragmatike

Boston, NY • On-site

$200K - $350K/yr

Full-time

Posted 2 days ago

New

Job description

Location: United States - Remote
Compensation: $200,000-$350,000 USD
Start Date: ASAP
Languages: Fluent English required
Type: Full-time
About the Opportunity
Pragmatike is recruiting on behalf of a fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms.
We are seeking a Founding AI Lead Engineer with experience in YC-backed start-ups to lead the company's AI engineering organization and establish the technical strategy for production AI systems.
What You'll Do
  • Lead 0→1 product initiatives from discovery through scale.
  • Partner directly with customers and Product leadership.
  • Design and implement full-stack product architectures.
  • Establish technical foundations for new products.
  • Translate ambiguous product problems into scalable solutions.
  • Balance speed, product quality, and technical sustainability.
  • Mentor engineers working on product initiatives.
  • Influence product roadmap and engineering priorities.

What We're Looking For
  • 7+ years of software engineering experience.
  • Strong full-stack and product engineering experience.
  • Proven 0→1 product development track record.
  • Excellent product judgment and technical depth.
  • Strong architecture and system design skills.
  • Ability to work independently in highly ambiguous environments.

Nice to Have
  • AI product development.
  • Startup/scale-up experience.
  • Experience working closely with founders or product leadership.
  • Experience taking products from prototype to significant scale.

Why Join?
Our client is building highly scalable technology that sits at the core of critical business operations, offering engineers the opportunity to work on complex systems, large-scale integrations, and real-world technical challenges.
You'll join a collaborative, fast-moving environment where ownership is encouraged, decisions are made quickly, and engineers have meaningful influence on architecture, product direction, and engineering culture.
This role offers the opportunity to tackle challenging backend problems, work with modern technologies, and grow alongside an ambitious team building for scale.
Full benefit package and competitive compensation.
Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You may request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

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