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

Senior Java Full Stack Developer

Buffalo, NY · On-site

$50.75 - $65.75/hr

I have an opportunity for "Java Full Stack Developer @ Scottsdale, AZ - Buffalo, NY or Irving, TX" and I am looking for a candidate who can join Immediately if you are interested, reply to me with ...

We are seeking a Full Stack .NET Developer to join a dynamic technology team supporting enterprise ... Design and optimize database solutions, write complex queries, and ensure data integrity.

Architect and lead full-stack development of large-scale operational software, owning engineering decisions and building sustainable systems * You are expected to stay current with evolving ...

Architect and lead full-stack development of large-scale operational software, owning engineering decisions and building sustainable systems * You are expected to stay current with evolving ...

SHEQ Software Developer

Tonawanda, NY · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Architect and lead full-stack development of large-scale operational software, owning engineering ... data science concepts * Experience designing and building ETL pipelines is required for this role ...

We're looking for a Senior Full Stack Engineer with a strong backend focus who thrives in fast ... Strong understanding of databases, data modeling, and system architecture. * Experience working ...

Lead AI Engineer

Boston, NY · On-site

$200K - $350K/yr

Design and implement full-stack product architectures. * Establish technical foundations for new ... In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and ...

New

Design and implement full-stack product architectures. * Establish technical foundations for new ... In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and ...

New

Develop full-stack features across frontend, backend, APIs, and infrastructure. * Rapidly prototype ... In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and ...

New

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Showing results 1-20

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 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.

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 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.

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 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:

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.

Cloud Engineer - Full Stack Developer

Innovative Solutions

Buffalo, NY • On-site

$100K - $160K/yr

Full-time

Re-posted 11 days ago


Job description

As a Full Stack Cloud Engineer, you’ll build and modernize scalable AWS-based applications — developing backend services, APIs, and integrations while also contributing to frontend dashboards and user interfaces. One engagement you may be migrating and refactoring a legacy application into a serverless, microservices architecture using Lambda and API Gateway, the next you’re building full-stack cloud-native applications using React, Python, or Java with secure, event-driven AWS services. You’ll collaborate closely with clients and project teams to design solutions, improve architectures, and deliver modern cloud applications that are secure, scalable, and business-driven. 


What You’ll Do:

  • Assisting in the designing and building modern and highly scalable cloud-based applications for customers
  • Migrating and modernizing customer legacy applications using AWS services
    Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs
  • Actively participating in team meetings and cross-functional interactions
  • Keeping team members and supervisors informed of progress and issues
  • Actively contributing to client project status meetings
  • Contributing to R&D projects to validate/invalidate new services offerings
  • Remaining current with technology trends and new technologies
  • Proposing the latest technology usage and integration standards
  • Developing and managing backend infrastructure, APIs and integrations to support cloud-based solutions, using programming languages like Python, Java, and PHP
  • Participating in code reviews, document infrastructure-as-code, and assist with UI/UX
  • Building out frontend interfaces and dashboards for applications and infrastructure using languages like Angular and React
  • Utilizing best practices for security, compliance, and business continuity in cloud solutions
 

Required Skills

  • 5+ years’ experience as a cloud engineer with hands-on expertise across AWS cloud services
  • Strong experience with infrastructure-as-code tools like CloudFormation
  • Experience coding in multiple languages including Node.js, Python, Angular, React, .NET Core, .NET Framework
  • Experience using AWS platforms including but not limited to Cognito and Amplify
  • Understanding of modern app architectures in cloud environments
  • Able to collaborate with cloud engineer and project management teams
 

Preferred

  • AWS Certification(s) a must have (can be obtained upon hire) - minimum requirement at 90 days is AWS Certified Developer Associates
  • In-depth experience with one or more programming languages like Java, JavaScript, Python, C# used for developing cloud-native applications.
  • Understanding of cloud computing concepts - IaaS, PaaS, serverless, containers etc.
  • Working knowledge of Amazon Web Services - key services like EC2, S3, Lambda, API Gateway, ECS, Fargate, RDS etc.
  • Experience using AWS command line tools and SDKs to manage infrastructure as code
  • Building, deploying, managing microservices applications on AWS
  • Working with AWS data storage solutions like DynamoDB, NoSQL, and Aurora RDS
  • Experience with containers & orchestration platforms like Docker, Kubernetes on AWS Security best practices for applications in the public cloud
  • Experience with CI/CD pipelines and automated testing
  • Building event-driven architectures on cloud platform
  • Using infrastructure as code tools like CloudFormation
  • Frontend JavaScript frameworks like React
  • Machine learning capabilities like SageMaker
  • Leveraging serverless architectures where applicable
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.