Data Engineer (100% Remote)

Job Details

  • ID#45405511
  • Address 92701 , Santaana,

    California

    Santaana USA
  • Job type

    Permanent

  • Salary USD $150,000 - $190,000 per year 150000 - 190000 per year
  • Hiring Company

    Jobot

  • Showed03rd September 2022
  • Date02nd September 20222022-09-02T00:00:00-0700
  • Deadline01st November 2022
  • Category

    Et cetera

Data Engineer (100% Remote)

Vacancy expired!

100% REMOTE Platform Architect - Education Management - Permanent, Base Salary, Benefits, 7.5% 401(k) Contribution, 100% Remote and Retirement PlanningThis Jobot Job is hosted by: Patrick MurrayAre you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $150,000 - $190,000 per year

A bit about us:Based in Orange County, CA, we are a leader in transforming educational systems in the most vulnerable districts in California. We achieve this by partnering with district and school teams to build and refine systems and practices that are grounded in equity, driven by data, and sustained through collaborative learning. Our mission is to ensure that all students receive a premium education that is TRUE, RIGHT, and JUST. We have a flexible, entrepreneurial environment which allows our employees to do their best work and achieve the professional growth that they have always wanted. We invest in our team and we pride ourselves on the power of human will to improve our lives and to change the world.We are seeking a Platform Data Architect w/ Kafka, AWS, and Python experience to join our growing engineering team. If you feel our Platform Software Architect role could be of interest to you, please do not hesitate to apply today or email your resume to https://jobot.com/apply/data-engineer-100-remote/1030120780?utmsource=Dice

Why join us?Compensation for Platform Data Software Developer:
  • Base Salary of $150,000 to $190,000
  • Generous 401(K) at 7.5% Contribution
  • Competitive Benefits Package
  • Flexible Work Schedules
  • Accelerated Career Growth
  • Excellent PTO
  • Steady, Stable Company
  • Modern Work Environment
  • Create Lasting Impact
  • Driving Equity in Education!

Job DetailsUnder the direction of the Head of Product, the Data Software Engineer will be a hands-on lead, providing direction to the engineering and development team and will play a key role in defining and building the technical strategy roadmap for enterprise data implementation and data management for new and current data sources, business-to-business partnerships, and data analytics systems.General Requirements for Enterprise Data Engineer:
  • Conceptualize and design the overall system architecture involving multiple big data sources, pre-existing applications, and APIs and third-party software
  • Build and maintain data pipelines and high-performance microservices and analyze data quality issues on big data systems
  • Design, implement and analyze performance optimization of code and architecture, including caching mechanisms
  • Bachelor's degree in Mathematics, Engineering, Economics, Computer Science, or related field
  • 6+ years of application development experience, architecting and building high-performance and scalable large data reporting systems with integrations to multiple backend and third-party system including conducting analysis and modeling data, handling data privacy, or related area.
  • 3+ years of experience with developing tools that help customers to take data driven decisions by generating automated reports and data visualization leveraging embedded analytics platforms such as PowerBI, Looker or Tableau
  • Experience with Big data and cloud technologies like Google Cloud Platform (BigQuery, Cloud Storage, Cloud Functions) or AWS (AWS: Snowflake, Lambdas/serverless)
  • Substantial SQL and NoSQL experience with both OLTP and OLAP
  • Solid understanding of data structures, query design and extensive experience with SQL across multiple platforms
  • Expert level familiarity with React, Node.js, JavaScript and/or Go, Python, or similar
  • Familiarity with API orchestration, cross-platform development, and API designing
Preferred but not necessary:
  • Prior experience working in a startup environment and new data analytics product development.
  • Experience with forming new teams and hiring data engineers, data analysts and full-stack engineers
  • Experience working with globally distributed product, software and testing teams
  • Experience using Kafka, RabbitMQ and/or similar message bus technologies to send and consume data
  • Experience with dbt and/or other data processing pipelines
  • Experience with data-level testing and data anomaly detection
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Vacancy expired!