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
