Staff Data Engineer

About the Company
Cardone Ventures is one of the fastest-growing business services and software companies in the United States. In six years, the company has grown to over $225M in annual revenue, serves thousands of business owners, operates from offices in Phoenix and Miami, and employs more than 420 team members, including a technology organization of approximately 70 engineers, product managers, designers, data professionals, and technology leaders. We are building an AI-native operating platform that combines customer onboarding, workflow automation, operational data, analytics, benchmarking, and AI agents into a single system used by business owners and advisors to scale their companies. Unlike most startups, we are not building in search of a business model. We are building against a large, growing customer base with real operational complexity, real data, and real business outcomes.
About the Role
We are establishing a founding engineering team in Hyderabad and are looking for a Senior Data Platform Engineer to help build it. This is not a traditional reporting or ETL role. It is a software and data engineering role focused on building the foundation that powers analytics, AI systems, customer onboarding, benchmarking, and operational workflows across our platform.
Responsibilities
Build data ingestion systems that connect to APIs, SaaS platforms, customer databases, files, and event streams.
Design and develop Apache Spark pipelines that clean, normalize, validate, and enrich customer data.
Create canonical data models, metric-ready datasets, and trusted business definitions.
Build data quality, lineage, reconciliation, and observability capabilities into the platform.
Partner with AI, product, and platform engineering teams to power analytics, benchmarks, and AI-driven experiences.
Qualifications
4-9 years of experience in data engineering, backend engineering, platform engineering, or distributed data systems.
Strong Computer Science, Data Engineering, Engineering, Mathematics, or STEM background; master's degree preferred.
Required Skills
Strong SQL, data modeling, API integration, and pipeline engineering skills.
Experience with Apache Spark and modern data platforms such as Microsoft Fabric, Databricks, Snowflake, Synapse, or similar technologies.
Strong understanding of data quality, schema evolution, lineage, reconciliation, observability, and production reliability.
High ownership, strong engineering judgment, and the ability to operate in ambiguous environments.

Work arrangement
No