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Streaming Software Engineer Jobs in Schenectady, NY

... live streaming, digital signage, and accessibility-focused solutions. Engineers perform hands-on ... software, and system configuration. Technicians may also coordinate with court personnel and ...

Network Systems Series

Albany, NY ยท On-site

$64K - $84K/yr

... live streaming, digital signage, and accessibility-focused solutions. Engineers perform hands-on ... software, and system configuration. Technicians may also coordinate with court personnel and ...

Salesforce architect

Albany, NY ยท On-site

$68.50 - $85/hr

Job Summary : SonSoft Inc. is a USA based corporation specializing in Software Development ... Streaming and Metadata API โ€ข Understand and follow the governor limits โ€ข Create custom force ...

Salesforce architect

Albany, NY ยท On-site

$68.50 - $85/hr

Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development ... Streaming and Metadata API * Understand and follow the governor limits Create custom force.com ...

Showing results 21-28

Streaming Software Engineer information

See Schenectady, NY salary details

$61.4K

$142.7K

$198.8K

How much do streaming software engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for streaming software engineer in Schenectady, NY is $142,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $167,400.00 per year, depending on experience, location, and employer.

What is a streaming software engineer?

Streaming Software Engineers are professionals who design, develop, and maintain software systems that enable the real-time delivery of audio, video, or data streams over networks. They work with technologies such as video encoding, adaptive bitrate streaming, real-time protocols, and distributed systems to ensure seamless and efficient content delivery. Their responsibilities often include optimizing streaming performance, ensuring low latency, and integrating with various platforms and devices. Streaming Software Engineers typically collaborate with product teams, operations, and other engineers to build scalable and robust streaming solutions.

What are the key skills and qualifications needed to thrive as a streaming software engineer?

A Streaming Software Engineer should have a solid background in computer science, programming (often in C++, Java, or Python), and real-time data processing, typically supported by a relevant degree or equivalent experience. Familiarity with streaming platforms and protocols (such as Kafka, Flink, or Spark Streaming), as well as cloud infrastructure and containerization tools, is commonly required. Strong problem-solving abilities, collaboration, and effective communication are essential soft skills for this role. These competencies ensure efficient development, deployment, and maintenance of reliable, high-performance streaming systems that handle large-scale real-time data.

What are some common challenges faced by streaming software engineers when optimizing real-time data delivery?

Streaming Software Engineers often encounter challenges related to latency, data consistency, and scalability when optimizing real-time data delivery. Maintaining low latency while handling large volumes of concurrent data streams requires careful architecture choices and efficient resource management. Additionally, ensuring data reliability and accuracy across distributed systems can be complex, especially as user demand grows. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges and deliver seamless streaming experiences.

What cities near Schenectady, NY are hiring for Streaming Software Engineer jobs?

Cities near Schenectady, NY with the most Streaming Software Engineer job openings:

Data Architect with InfoSphere and DataStage experience : Albany, NY

Albany, NY โ€ข Remote

Software People, Inc.
IT Servicesย โ€ขย 1 - 10 employees

Contractor

Re-posted 25 days ago


Job description

Please Let me know your Interest and rate for this position.

Phone/Skype Hire. Onsite from day 1

Candidates with fake experience are advised not to apply. All candidates will be required to provide completed I9 form for verification at the time of resume submission. Please don’t apply if you are not able to provide it.

Location: Albany, NY

Duration: 12+ months

Responsibilities

  • Design, implement, and document processes to convert relational data from multiple sources to be used by IBM InfoSphere Identity Insight building graph database entities for relationship analysis.
  • Design, implement, and document ETL and ELT data integration solutions sourcing data from Db2, streaming services (ex. IBM Event Streams/Kafka), and messaging services (ex. IBM MQ) utilizing DataStage and/or custom solutions written in Python.
  • Provide expert knowledge on, and support for analysts who use, graph databases.
  • Design and perform data transformations utilizing tools such as DataStage NextGen and Data Refinery running on IBM’s Cloud Pak for Data.
  • Design and implement data visualizations utilizing tools such as i2 Analyst’s Notebook and Cognos Analytics.
  • Provide expert analysis and support for developers and analysts working on predictive models in either SPSS or Cloud Pak for Data.
  • Provide expert data and business analysis to help build and maintain data governance definitions, rules and data lineage.

Skills Needed

84 months of experience working with IBM InfoSphere Identity Insight to identify true identities across multiple data sources, and to discover and analyze relationships between identities.

84 months of experience utilizing visual analysis tools, such as IBM i2 Analyst’s Notebook, to design data visualizations for uncovering criminal or fraudulent activity.

84 months of experience designing and documenting information systems architectures

84 months of experience of troubleshooting and optimization experience of tiered and cloud architectures

84 months of experience with Db2 running on AIX, zLinux, and/or z/OS

48 months of experience designing, building, and refining predictive models