Staff Analytics Engineer at Upside

Austin, Texas, United States

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$215,000 – $250,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Retail, CommerceIndustries

Requirements

6+ years of experience in data or analytics engineering, with a track record of owning complex, business-critical data systems end to end
Deep expertise in SQL and Python, particularly for transforming, testing, and orchestrating very large datasets
Fluent with platforms like AWS, Snowflake, dbt, and Dagster, and can design extensible patterns to be used across teams
Experience with DevOps practices

Responsibilities

Drive the design and implementation of foundational data products and analytics platform capabilities that power Upside’s most critical product and business use cases
Lead cross-functional workstreams and shape patterns and architecture across teams
Design and deliver highly complex, domain-critical data products used by analysts, data scientists, and product teams to unlock new product features, ML models, and strategic decisions
Architect scalable, extensible patterns for modeling, orchestration, and data transformation—balancing flexibility, reusability, and cost-efficiency
Own platform evolution projects such as migrating the data platform to Snowflake Semantic Views, extending Cortex, or improving orchestration tooling for analytics workflows
Lead technical planning and delivery across cross-functional teams, breaking down complex data initiatives into scoped, sequenced workstreams implemented by you and others
Drive platform adoption and best practices, mentoring other engineers, building internal documentation and tooling, and raising the overall bar for analytics engineering across the company
Influence upstream and downstream teams, partnering with engineering, product, data science, and business stakeholders to align on requirements and deliver end-to-end solutions
Represent Analytics Engineering in technical design forums and contribute to roadmap discussions that shape the future of data at Upside

Skills

Snowflake

Semantic Views

Cortex

Data Modeling

Orchestration

Data Transformation

Analytics Engineering

Upside

Cash-back app for everyday purchases

About Upside

Upside offers a cash-back app that rewards users for everyday purchases like gas, groceries, and food. Users can claim cash-back offers at local retailers, which increases their purchasing power while helping retailers boost sales and customer loyalty. The company earns revenue through partnerships with retailers, sharing commissions with users as cash-back rewards. Upside aims to create a fair economic model in retail, focusing on user privacy, environmental sustainability, and fostering an inclusive workplace.

Washington, District of ColumbiaHeadquarters

2015Year Founded

$63.2MTotal Funding

SERIES_DCompany Stage

Consulting, Cybersecurity, Consumer GoodsIndustries

201-500Employees

Benefits

Health, vision, & dental insurance

Free lunch

Stock options

Unlimited PTO

Risks

Increased competition from fintech companies like Chime could dilute Upside's value proposition.

Dependency on specific retail partners may limit Upside's flexibility in diversifying partnerships.

Reliance on the volatile fuel sector could impact Upside's profitability.

Differentiation

Upside offers personalized cash-back deals, enhancing consumer purchasing power.

The company invests 1% of revenue in sustainability initiatives, appealing to eco-conscious consumers.

Upside's partnerships with major retailers boost retailer profits without altering operations.

Upsides

Partnerships with Chime and Schnucks expand Upside's reach and user base.

The rise of digital wallets enhances Upside's integration opportunities, increasing user engagement.

Sustainability focus attracts environmentally conscious consumers, differentiating Upside from competitors.

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