Data Engineer / Senior Data Engineer
ArcadiaSalary not specified
Full Time
Senior (5 to 8 years)
Senior Analytics Engineer - Finance at Sigma Computing
San Francisco, California, United States
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, FinanceIndustries
Requirements
- Strong proficiency in SQL (dbt experience preferred) with a deep understanding of dimensional modeling and transformation design for finance use cases
- Experience working with financial systems (e.g., Netsuite, Anaplan, Stripe, Salesforce)
- Strong grasp of cloud data warehouses (Snowflake or Databricks preferred) and data version control (git)
- Demonstrated experience supporting Finance stakeholders at a B2B SaaS company
- Experience with data visualization tools (Sigma experience preferred - you will use Sigma every day!)
- Familiarity with at least one programming language (e.g., Python or R) for data processing or automation
- Excellent communication skills, especially in explaining financial data concepts to non-technical stakeholders
- Self-starter with high attention to detail and the ability to manage multiple priorities in a fast-paced environment
Responsibilities
- Design, build, and maintain core data models to power critical Finance workflows including revenue forecasting, cash flow modeling, financial planning, and board reporting
- Partner closely with FP&A and Accounting to understand business requirements and translate them into data products that improve accuracy, transparency, and operational efficiency
- Develop and maintain scalable workflows for financial systems integration, including enhancing and automating Netsuite-related pipelines and reconciliation processes
- Deliver reporting and dashboards in Sigma to enable real-time insights into key financial and operational metrics
- Implement a strong data privacy program to ensure sensitive financial information is accessible to a restricted number of stakeholders within our Finance team
- Mentor teammates and cross-functional partners on data modeling techniques and ensure adherence to best practices
Skills
SQL
dbt
dimensional modeling
Netsuite
Snowflake
Databricks
git
Anaplan
Stripe
Salesforce
data modeling
revenue forecasting
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.
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