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Apollo

Data Engineer

Pay: $80,000–$90,000/yr

Posted: 2 weeks ago

Location: White Plains, NY (Onsite)

Last Updated: 1 week ago

Hours: Full-Time

Expires: 9/22/2026

Job Description

Data Engineer Apollo

3.6 White Plains, NY Job Details Full-time $80,000
$90,000 a year 21 hours ago Qualifications Tooling Spark SQL Kafka Python Full Job Description About the Role Apollo is building out a data lake using an already-established medallion architecture, and expanding it as we bring on new clients and migrate existing ones.

We're looking for a Data Engineer to lead this effort — owning the data lake's architecture and health, leading external data imports as we onboard new clients, and leading all API-based data imports, which flow directly into the data lake rather than our transactional database. This is a leadership role on the data side: you'll be the person setting direction on how data flows in, how it's structured, and how ETL pipelines are built and maintained, while also staying hands-on with the pipelines and queries themselves. What You'll Do

Lead the data lake build-out and expansion using our existing medallion architecture, onboarding both new and existing clients
Own external data imports as part of client onboarding
Lead all API-based data imports, ensuring API data is imported directly into the data lake rather than the transactional database
Design, build, and maintain ETL pipelines using Python
Write and optimize complex SQL queries against large datasets
Build web scraping tools to source external data as needed
Set technical direction and best practices for the team's data engineering work What We're Looking For
Experience with Azure Synapse (data lake)
Experience with Azure Data Lake Studio
Professional SQL experience in a leadership or senior capacity
Experience building and maintaining ETL pipelines
ETL experience using Python
Web scraping experience Nice to Have
Experience with PySpark
Experience with Kafka
Experience with Flink
Microsoft 365 experience How We Evaluate Our process includes a practical component — we're interested in how quickly you can get up to speed on an existing database/data lake architecture, and we'll ask you to work through some complex SQL queries.

Pay:

$80,000.00

$90,000.

00 per year

Work Location:

In person