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Full-Time

Principal Software Engineer

Data Product Background

Posted on 5/23/2024

Sisense

Sisense

501-1,000 employees

Scalable analytics solutions for data insights

Data & Analytics
Consulting
Consumer Software
Enterprise Software
AI & Machine Learning

Compensation Overview

$170k - $250kAnnually

+ Bonuses + Equity + Medical Benefits

Senior, Expert

Remote in USA + 1 more

Category
Backend Engineering
Software Engineering
Required Skills
Agile
SQL
Java
REST APIs
Data Analysis
Requirements
  • 3+ years of experience in a BI company as a Backend Software engineer, specializing in data modeling best practices and efficient querying.
  • 7 years of hands-on experience designing and developing Java applications
  • Bachelor's Degree in Computer Science or Software Engineering
  • Strong Object Oriented analysis and design using common design patterns
  • Experience working in a Product company with an Agile development process
  • Experience with complex SQL expressions - advantage
  • Experience with Spring, and related technologies (JSON, REST) - advantage
Responsibilities
  • Principle Engineer and tech lead in the core team of the Engineering.
  • Guide the team, share professional BI knowledge on Data Modeling and efficient Analytical Querying, and build the Data platform accordingly.
  • Be part of the steering team that plans, designs, and builds the next generation of Analytics platform for developers.
  • Lead large and complex projects end to end.
  • Skilled and experienced Java Software Engineer

Sisense provides scalable analytics solutions that help companies explore and understand their data. Their platform allows users to interactively analyze data, uncover insights, and make informed decisions. Unlike typical data visualization tools, Sisense offers a comprehensive solution that integrates seamlessly into existing systems, regardless of the cloud environment. A standout feature is the ability for clients to create unique data products that can be monetized, providing an additional revenue stream. Sisense also incorporates artificial intelligence and machine learning, enabling clients to enhance their data processes with advanced insights. Overall, Sisense aims to empower organizations to leverage their data effectively while also generating new revenue opportunities.

Company Stage

Series E

Total Funding

$346M

Headquarters

New York City, New York

Founded

2004

Growth & Insights
Headcount

6 month growth

2%

1 year growth

-6%

2 year growth

-12%
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Simplify's Take

What believers are saying

  • The launch of the GenAI Analytics Chatbot and enhanced narration features democratizes data insights, making advanced analytics accessible to a broader audience.
  • Sisense's partnerships, such as with Mytonomy for healthcare analytics, highlight its potential to drive innovation and optimize resource allocation in various industries.
  • The appointment of experienced leaders like Ayala Michelson and Brian Weinberger indicates strong leadership and a commitment to accelerating innovation and growth.

What critics are saying

  • Recent data breaches and CISA alerts could undermine client trust and impact Sisense's reputation in the market.
  • Multiple rounds of layoffs within a short period may indicate financial instability and could affect employee morale and productivity.

What makes Sisense unique

  • Sisense's platform not only provides data visualization but also enables clients to generate revenue through differentiated data products, setting it apart from competitors.
  • The integration of AI and ML capabilities, along with APIs and SDKs, allows for seamless embedding of advanced analytics into clients' workflows.
  • Sisense's Git Integration and CI/CD process control offer unparalleled flexibility and scalability, making it a robust choice for data product execution.
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