Technical Support Engineer at Sigma Computing

New York, New York, United States

Apply Now

Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data AnalyticsIndustries

Requirements

2+ years of industry experience supporting enterprise products for data analytics
Computer Science fundamentals
Strong domain expertise in databases and business intelligence
SQL proficiency (JOINs, Partitions, Window Functions, Aggregations, CTEs, Sub-queries etc.)
SQL query performance troubleshooting and plan generation understanding
Proficient in data modeling concepts
Ability to properly chart data into logical visualizations
Proven track record of building trust with customers and bringing issues to resolution quickly
Excellent verbal and written communication skills
Strong desire to build scalable processes for issue resolution (documenting common patterns, building tooling etc.)
Strong collaboration skills and ability to work with multiple departments and coordinate issue triaging, diagnosis, and resolution
Desire to be a great teammate and have fun at work
Highly Desirable Skills & Experiences
Supporting a cloud service in production
Experience working with Snowflake, Databricks, Redshift, BigQuery
Knowledge of GCP, AWS
Startup experience

Responsibilities

Work with Sigma’s customers and the pre-sales team to assist with the diagnosis and resolution of complex technical issues
Work closely with the development team to develop best practices and tools for diagnosing issues and optimizing the service for performance
Collaborate with cross-functional groups (backend, frontend, devops, design, product, and go-to-market teams) to create a first-class experience for users
Participate in quarterly projects, perform periodic on-call duties, and other assignments as needed to improve automation and processes

Skills

SQL

JOINs

Partitions

Window Functions

Aggregations

CTEs

Sub-queries

SQL query performance troubleshooting

data modeling

data visualization

databases

business intelligence

Sigma Computing

Cloud-based data analytics platform for businesses

About Sigma Computing

Sigma Computing offers a cloud-based data analytics platform that enables businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features such as data collection, territory management, and revenue planning without needing coding skills. The platform is scalable, allowing for the analysis of billions of rows of data, and promotes self-service capabilities for faster insights. Recently, Sigma introduced AI features like data classification and natural language processing to enhance data analysis and support Enterprise AI initiatives.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$550.9MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Competitive pay - Looking for a great salary and solid stock options? You’ve come to the right place.

Flexible schedule - Do the work you need to get done in the time you have to get it done

Amazing benefits - Medical, dental, vision, 401k, FSA, commuter… we’ve got you covered. Literally.

Flexible vacation - At Sigma, we work to live, not live to work. So go on, book that dream vacation.

Health & wellness - A healthy body supports a healthy mind, so we partner with Crunch Fitness and CorePower.

Family-friendly - From flexible scheduling to parental leave to kids’ birthdays off, we support Sigma families.

Risks

Competition from Tableau and Power BI could threaten Sigma's market share.

Reliance on platforms like Snowflake may impact service delivery if disruptions occur.

High valuation pressures Sigma to deliver rapid growth, risking strategic misalignment.

Differentiation

Sigma offers a spreadsheet-like interface for non-technical users to analyze data.

The platform integrates with major data warehouses like Snowflake and BigQuery.

Sigma's AI features include natural language processing and sentiment analysis.

Upsides

Sigma raised $200M in Series D funding, valuing it at $1.5 billion.

The platform's scalability allows analysis of billions of data rows efficiently.

Sigma's partnerships enhance data accessibility and integration for users.

Land your dream remote job 3x faster with AI

Try Jobo Free