[Remote] Senior Data Engineer at Vantage

Toronto, Ontario, Canada

Vantage  Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
SaaS, Retail Media, Advertising TechnologyIndustries

Skills

Key technologies and capabilities for this role

PythonDjangoSQLSnowflakeETLELTData WarehousingData ModelingDistributed SystemsGreat ExpectationsData Quality TestingPrivacy-Compliant Data ProcessingGDPRCCPAKafkaKinesisPub/SubData LakesMachine Learning Pipelines

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position as Vantage is a remote-first team spread across North America and beyond, headquartered in Toronto.

What are the minimum experience and key skills required for this Senior Data Engineer role?

Candidates need 5+ years of experience in data engineering, big data, and/or distributed systems for SaaS products, proficiency with Python, Django, and SQL, hands-on experience with Snowflake for ETL/ELT pipelines and data warehousing, Great Expectations for data quality, data modeling, and privacy-compliant processing like GDPR and CCPA.

What does the Measurement team focus on at Vantage?

The Measurement team focuses on enhancing the Insights Explorer feature of the platform, enabling partners to transform retail media data into actionable insights.

What leadership and collaboration aspects are involved in this role?

The role involves leading architectural conversations, coaching and developing the Measurement team, collaborating with engineering and product teams, and communicating with stakeholders for alignment and transparency.

What salary or compensation information is provided for this position?

This information is not specified in the job description.

Vantage

Cloud cost management and optimization platform

About Vantage

Vantage.sh is a platform designed to help businesses manage and optimize their cloud costs. It provides tools for creating detailed reports on cloud expenditure, allowing users to filter and group costs by various dimensions, set monthly budgets, and receive alerts when spending exceeds those budgets. The platform supports multiple cloud providers and offers in-depth resource-level analytics, enabling users to track costs across different subscriptions and projects. A standout feature is its Kubernetes cost optimization, which helps users allocate costs by service and identify areas for efficiency. Vantage.sh operates on a self-serve model, making it easy for businesses to start using the service and save on costs, charging a low fee of 5% of the savings generated. The goal of Vantage.sh is to provide businesses with a clear understanding of their cloud spending and help them find opportunities for cost reduction.

New York City, New YorkHeadquarters
2020Year Founded
$23.8MTotal Funding
SERIES_ACompany Stage
Data & Analytics, Enterprise SoftwareIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Company Equity
Professional Development Budget

Risks

Increased competition from new entrants like Tech1M in the cloud cost management space.
Potential over-reliance on major cloud providers could lead to vulnerabilities.
Rapid technological advancements in AI may require continuous innovation to stay competitive.

Differentiation

Vantage supports a wide range of cloud providers, including AWS, Azure, and Google Cloud.
The platform offers unique Kubernetes cost optimization and visibility features.
Vantage operates on a self-serve model with an industry-low fee of 5% of savings.

Upsides

Growing demand for cloud cost management tools as businesses adopt multi-cloud environments.
Increased interest in FinOps practices aligns with Vantage's cost optimization mission.
The rise of AI workloads presents opportunities for AI-specific cost optimization features.

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