Senior Data Engineer

The Role

The Senior Data Engineer will play a critical role in designing developing and maintaining our data infrastructure. This role requires a deep understanding of data architecture data modeling and ETL processes. The ideal candidate will have extensive experience with big data technologies cloud platforms and a strong ability to collaborate with cross-functional teams to deliver high-quality data solutions.

This position is not eligible to be performed in Hawaii.

What You’ll Do

• Design develop and maintain scalable data pipelines and ETL processes to support data integration and analytics

• Architect and implement data storage solutions including data warehouses data lakes and databases

• Collaborate with data scientists analysts and other stakeholders to understand data requirements and deliver solutions that meet business needs

• Optimize and tune data systems for performance reliability and scalability

• Ensure data quality and integrity through rigorous testing validation and monitoring

• Develop and enforce data governance policies and best practices

• Stay current with emerging data technologies and industry trends and evaluate their potential impact on our data infrastructure

• Troubleshoot and resolve data-related issues in a timely manner

Our Stack

• AWS RDS

• Snowflake

• Fivetran

• DBT

• Prefect

• Looker

• Datadog

Who You Are

• Bachelor’s or Master’s degree in Computer Science Information Technology or a related field

• 5+ years of experience in data engineering in a modern tech stack

• Proficiency in programming languages such as Python Java or Scala

• Strong experience with big data technologies

• Expertise in SQL and experience with relational databases (e.g. MySQL PostgreSQL) and NoSQL databases (e.g. MongoDB Cassandra)

• Hands-on experience with cloud platforms such as AWS Azure or Google Cloud

• Familiarity with data warehousing solutions like Redshift BigQuery or Snowflake

• Knowledge of data modeling data architecture and data governance principles

• Experience with IaaS technologies (e.g. terraform)

• Excellent problem-solving skills and attention to detail

• Strong communication and collaboration skills

Bonus Points

• Experience with containerization and orchestration tools like Docker and Kubernetes

• Knowledge of machine learning and data science workflows

• Experience with CI/CD pipelines and DevOps practices

• Certification in cloud platforms (e.g. AWS Certified Data Analytics Google Professional Data Engineer)

Benefits

Fundamentals:

• Medical / Dental / Vision / Disability / Life Insurance

• High Deductible Health Plan with Health Savings Account (HSA) option

• Flexible Spending Account (FSA)

• Access to coaches and therapists through Modern Health's platform

• Generous Time Off

• Company-wide Collective Pause Days

Family Support:

• Parental Leave Policy

• Family Forming Benefit through Carrot

• Family Assistance Benefit through UrbanSitter

Professional Development:

• Professional Development Stipend

Financial Wellness:

• 401k

• Financial Planning Benefit through Origin

But wait there’s more…!

• Annual Wellness Stipend to use on items that promote your overall well being

• New Hire Stipend to help cover work-from-home setup costs

• ModSquad Community: Virtual events like active ERGs holiday themed activities team-building events and more

• Monthly Cell Phone Reimbursement