Hybrid Senior Data Engineer

Posted last month

Apply now

About the role

  • Design, implement, and maintain the organization’s data infrastructure, ensuring it meets business requirements and technical standards.
  • Deploy data pipelines to AWS infrastructure such as EKS, ECS, Lambdas and AWS Glue.
  • Develop and deploy data pipelines to clean and transform data to support other engineering teams, analytics and AI applications.
  • Extract and deploy reusable features to Feature stores such as Feast or equivalent.
  • Evaluate and select appropriate database technologies, tools, and platforms, both on-premises and in the cloud.
  • Monitor data systems and troubleshoot issues related to data quality, performance, and integrity.
  • Work closely with Product, Engineering, and Analytics teams to understand and cater to their data needs.
  • Define and document data workflows, pipelines, and transformation processes for clear understanding and knowledge sharing.
  • Ensure student data privacy and security, and adhere to PII compliance best practices.

Requirements

  • 3+ years of experience as a data engineer, and 8+ years of software engineering experience (including data engineering)
  • Proven experience as a Data Engineer or in a similar role with strong data modeling, architecture, and design skills.
  • Strong understanding of data engineering principles including infrastructure deployment, governance and security.
  • Experience with MySQL, Snowflake, Cassandra and familiarity with Graph databases (Neptune or Neo4J)
  • Proficiency in SQL, Python, (Golang)
  • Proficient with AWS offerings such as AWS Glue, EKS, ECS and Lambda
  • Excellent communication skills and ability to articulate complex technical concepts to non-technical stakeholders
  • Strong understanding of PII compliance and best practices in data handling and storage
  • Strong problem-solving skills, with a knack for optimizing performance and ensuring data integrity and accuracy.

Benefits

  • Competitive salary
  • Meaningful equity
  • Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
  • One Medical membership (in participating locations)
  • Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year.
  • 10 paid sick days per year (pro rated depending on start date)
  • Paid holidays
  • Paid bereavement leave
  • Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State.
  • Commuter and FSA plans

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

$150,000 - $200,000 per year

Degree requirement

No Education Requirement

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job