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60 Innovative Solutions Data Software Engineer Jobs Hiring Near You

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What are the key skills and qualifications needed to thrive as a Data Software Engineer, and why are they important?

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

What are some common challenges Data Software Engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.

What are Data Software Engineers?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

What is the difference between Data Software Engineer vs Data Engineer?

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What other companies are hiring for Data Software Engineer jobs?
What are the most popular jobs at Innovative Solutions?
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Infographic showing various Data Software Engineer job openings at Innovative Solutions in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 89% Physical, and 11% Remote job distribution.
Cloud Engineer - Full Stack Developer

Cloud Engineer - Full Stack Developer

Innovative Solutions

Buffalo, NY • On-site

Other

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

Job description

Professional Services Team Member

As a member of our Professional Services team, you will assist in the building, deploying, and maintaining of critical customer applications. In this role, you will provide thought leadership and hands-on technical execution to optimize client environments and ensure robust, scalable applications.

Responsible for:

  • 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

How you will be successful:

  • Bridging the gap between technical complexity and business objectives through adept problem-solving abilities
  • Building trusting relationships with team members and collaborating departments
  • Comfortable with pushing boundaries and technical limits (maintain technical aptitude and knowledge of industry)
  • Confidently communicating with diverse stakeholders to translate requirements into impactful outcomes
  • Championing ongoing elevation of personal skills paired with knowledge transfer to teammates
  • Having the ability to rapidly learn new languages, frameworks, or business domains as needed to meet the diverse needs of multiple clients

Requirements of the role:

  • 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
  • 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

Additional valuable skills:

  • 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.

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