Analytics Engineer

Cloud-native database company delivering speed and scale for data-intensive applications, unifying transactions and analytics.
Data
Mid-Level Software Engineer
Remote
4+ years of experience
AI · Enterprise SaaS · Database

Description For Analytics Engineer

SingleStore is seeking an Analytics Engineer to join their Product team, offering an exciting opportunity to shape the future of their real-time database platform. This role combines technical expertise in data engineering with strategic business impact, working with cutting-edge technology in a fast-paced environment.

The position involves working with large-scale data sets within one of the fastest distributed data platforms, requiring both technical proficiency and business acumen. You'll be responsible for designing and maintaining data pipelines, contributing to AI research initiatives, and translating complex data into actionable insights that drive product innovation and business strategy.

As an Analytics Engineer at SingleStore, you'll collaborate across multiple departments including Product, Engineering, Marketing, Sales, and Finance, making you a crucial bridge between technical implementation and business outcomes. The role demands expertise in data querying languages, scripting, and visualization tools, along with knowledge of AI/ML concepts and Large Language Models.

The company offers a comprehensive benefits package including technology and connectivity stipends, health and wellness benefits, flexible time off, and equity options. SingleStore's global presence, with offices across multiple countries, provides exposure to diverse perspectives and international collaboration opportunities.

This role is perfect for someone who combines strong technical skills with business acumen, enjoys working with cutting-edge technology, and wants to make a significant impact in the database technology space. The remote work option and SingleStore's commitment to diversity and inclusion make this an attractive opportunity for candidates seeking a balanced, progressive work environment.

Last updated 21 hours ago

Responsibilities For Analytics Engineer

  • Design, develop, and maintain performant data pipelines for collecting, processing, and transforming data
  • Contribute to AI research initiatives and validate model performance and accuracy
  • Assemble large, complex data sets meeting business requirements
  • Translate complex data into compelling insights for business and product decisions
  • Provide clean data sets and model data for self-serve analytics
  • Build analytics tools for actionable insights into customer acquisition and product adoption
  • Conduct ad hoc data analysis and data quality investigations
  • Identify and address performance bottlenecks in data processing
  • Scale analytics capabilities using ML/AI
  • Collaborate with stakeholders to define requirements
  • Apply software engineering best practices to analytics code

Requirements For Analytics Engineer

Python
  • 4+ years of work experience in analytics and data querying languages (SQL), scripting languages (Python), or statistical software (R)
  • Experience building & maintaining data pipeline processes using tools like Airflow, SQL Tasks & Stored Procedures
  • Experience with analytics visualization tools (Grafana, Superset, Tableau, Metabase)
  • Experience or coursework in AI/ML concepts
  • Basic understanding of Large Language Model (LLM) concepts

Benefits For Analytics Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • Technology Stipend for New Employees
  • Monthly Cell Phone and Internet Stipend
  • Health and Wellness benefit
  • In office catered lunches and monthly Grubhub credit
  • Company and team events
  • Flexible time off
  • Volunteer time off
  • Stock Options
  • Health Benefits
  • Retirement

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