Senior Data Engineer

100% REMOTE Senior Data Engineer / Lead Data Engineer Needed for Growing Subsidiary of a Large Public Company!This Jobot Job is hosted by: Reed KellickAre you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $145,000 - $235,000 per yearA bit about us:We are a growing subsidiary of a large public company that is hiring all levels of data engineers!Why join us?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 organizations!Job DetailsAs a Senior Data 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 LeadBS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or other quantitative fieldExperience developing and maintaining data pipelines, infrastructure and architectureExperience writing code to extract, process and store data within different types of data stores (Snowflake, Postgres, DynamoDB, Kafka, Graph databases)Strong Python skillsExperience building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworksInterested in hearing more? Easy Apply now by clicking the "Apply Now" button.

#J-18808-Ljbffr