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