TripleLift
Data Scientist
New York, US•4 months ago
$90K – $120K
data sciencemachine learningpython
Data Science2 days agoOn-site
TripleLift
Senior Data Engineer
data engineeringbig datasparkkafkaml pipelinesdata pipelinesqlpythonscalajavamlflowfeastraycontainerizationkubernetesargocddata modelingetl
Key details
Salary
$130K – $170K
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
New York, US
Full job description
TripleLift seeks a Senior Data Engineer to expand and optimize data pipeline architecture and data flow for cross-functional teams. Responsibilities include creating and maintaining data pipelines, assembling complex data sets, improving processes by automating and optimizing data delivery, building ETL infrastructure using Spark, EMR, Kafka, and collaborating with product managers, engineers, and analysts to support data infrastructure needs. Requirements include a bachelor's degree or equivalent experience, 5+ years in software engineering focused on data and ML pipelines, experience with Spark and Kafka at scale, knowledge of ML/AI operations, familiarity with MLFlow, Feast, Ray, and databases like OpenSearch, Druid, Clickhouse, InfluxDB. Strong SQL skills and proficiency in Python, Scala, or Java required. Experience with containerization, Kubernetes, and ArgoCD is a plus. Benefits include medical, dental, vision plans, flexible PTO, and 401k with employer match. Salary range is $130,000 to $170,000 USD.
What you'll do
- Create and maintain optimal data pipeline architecture
- Explore and assemble large, complex data sets that meet functional and non-functional business requirements
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