Senior Data Platform Engineer

100% REMOTE Senior Data Engineer / Lead Data Platform 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 "Apply Now" button and sending us your resume.

Salary: $145,000 - $235,000 per year

A bit about us:

We are a growing subsidiary of a large public company that is hiring multiple data engineers! If you are a Lead Data Engineer / Senior Data Infrastructure Engineer, please read on!

Why join us?

As a Lead Data Infrastructure Engineer / Principal Data Engineer in our company, we are able to offer:

• A competitive base salary between $95k and $235k, depending on seniority level!
• Stock grant of $12k to $40k, depending on experience!
• Bonus of 12-20%, depending on seniority!
• Work from home / work remote 100%!
• 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution!
• Comprehensive medical, dental, vision and life insurance!
• 17 paid holidays per year, including 3 floating holidays!
• Annual Paid Time Off (PTO), with separate sick days!
• 12 weeks paid Parental Leave!
• Caregiver Leave!
• Adoption and Surrogacy Assistance Plan!
• Flexible workplace accommodation!
• Fun team/company events at Sports games, concerts, etc.!
• Tuition reimbursement!
• Ability to attend conferences!
• A MacBook Pro and accompanying hardware to do great work!
• A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more!
• Generous company discounts!
• Eligible for donation matching to over 1.5 million nonprofit organization!
  
  

Job Details

As a Principal Data Platform Engineer / Staff Data Engineer on our team, we are looking for:

• 2+ years of experience as a Data Engineer for a Data Engineer role, 5+ years for a Senior, and 7+ for a Lead
• BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or other quantitative field
• Experience developing and maintaining data pipelines, infrastructure and architecture
• Experience writing code to extract, process and store data within different types of data stores (Snowflake, Postgres, DynamoDB, Kafka, Graph databases)
• Strong Python skills
• Experience building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks
• Experience with some or most of the following would be ideal: Snowflake, Fivetran, DBT Cloud, DataDog, Atlan, Monte Carlo, Airflow (MWAA), EKS (Kubernetes)
  
  

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Senior Data Platform Engineer

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