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Job details
100% REMOTE Lead Data Product Engineer / Senior Data Engineer Needed for Growing Subsidiary of a Large Public Company!
This Jobot Job is hosted by Reed Kellick
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary $165,000 - $235,000 per year
A Bit About Us
JOB DUPLICATED under different client. Please update this section!
Why join us?
JOB DUPLICATED under different client. Please update this section!
Job Details
As a Staff Data Product Engineer / Sr. Data Engineer on our team, we are looking for
- Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or other quantitative field
- 7+ years of experience as a Data Engineer writing code to extract, process and store data within different types of data stores (Snowflake, Postgres, DynamoDB, Kafka, Graph databases)
- 2+ years of leading a cross-functional team to deliver data projects, including 1+ year of experience as a reporting manager of a small team
- Strong programming skills in Python and understanding of core computer science principles
- Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks
- Knowledge of relational and dimensional data modeling concepts to build data products
- Experience with data quality checks, data monitoring solutions
- Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools
- Experience with Git, CI/CD pipelines, Docker, Kubernetes
- Experience with architecting solutions on AWS or equivalent public cloud platforms.
- Experience with developing data APIs, Microservices and event driven systems to integrate data products
Preferred
- Experience in assessing and implementing new data tools to enhance the data engineering stack
- Knowledge of data mesh concepts
- Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science
- Knowledge of vector databases, knowledge graphs, and other approaches for organizing & storing information
- Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Data Cataloging tools, Data Observability tools and Data Governance tools
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
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