Data Engineer II
New
Continental US and Canada, Willing to attend online meetings with staff that are mainly in Eastern and Central timezonesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3–5 years
- Required Skills
- PostgreSQLPythonSQLAmazon RDSETLGitSnowflakeData modelingdbt
Requirements
- 3–5 years of hands-on experience in Data Engineering, Analytics Engineering, or a related data-focused role
- Experience working in a product-oriented data squad, partnering closely with Product, Analytics, and Engineering
- Experience working with modern data platforms and tools such as dbt (Core or Cloud), Amazon RDS, PostgreSQL
- Experience with Snowflake (primary data warehouse platform)
- Strong SQL skills with experience developing data transformations and data models
- Experience building and maintaining ETL/ELT pipelines
- Experience with Python or a similar programming language
- Understanding of data modeling, warehousing concepts, and relational databases
- Experience using Git-based development workflows
- Ability to independently manage assigned workstreams and deliver high-quality solutions
- Strong communication, collaboration, and problem-solving skills
Responsibilities
- Design, build, and maintain scalable data pipelines, transformations, and data models using modern ELT practices
- Participate in incident response and operational support activities, including occasional off-hours coverage for critical production issues, data incidents, and major platform deployments
- Develop and support data assets that enable reporting, analytics, and operational workflows
- Participate in technical design discussions and contribute to implementation planning and solution documentation
- Collaborate with analysts, data scientists, software engineers, and business stakeholders to understand requirements and deliver effective data solutions
- Troubleshoot data quality, reliability, and performance issues across data pipelines and systems
- Monitor and improve existing implementations by identifying gaps, inefficiencies, and opportunities for automation
- Contribute to engineering best practices around testing, version control, documentation, and data quality
- Support deployment and maintenance of data pipelines through established CI/CD processes
- Participate in code reviews and provide constructive feedback to peers
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