Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain ELT pipelines that convert raw data into modular, thoroughly tested dbt models within Snowflake.

• Create and manage dependable data orchestration and workflows as the platform's complexity increases.

• Compose and uphold dbt tests to identify issues before they escalate.

• Document models and sources to ensure the discoverability of data meaning.

• Establish monitoring and alerting systems for pipeline failures and data anomalies.

• Enhance Snowflake table design and materialization strategies for optimal performance and cost efficiency.

• Advance Snowflake access controls and governance, including roles, grants, and security measures.

• Comprehend the data needs of internal teams and external clients, translating them into effective solutions.

• Implement engineering practices through version control, CI/CD, and code reviews.

• Construct data infrastructure and governance to support AI/ML use cases and ensure reliable access to high-quality data.

• Collaborate across data platforms, analytics engineering, and data infrastructure while influencing architecture and data practices.

⛳️ Requirements

• Over 6 years of experience in data engineering.

• Proven ability to autonomously manage complex data systems from design to production and make informed architectural decisions.

• Strong instincts for product and stakeholder engagement; adept at translating vague business requirements into robust data solutions.

• Extensive expertise in SQL and Snowflake at a production level.

• Significant experience with dbt, encompassing testing, documentation, dependencies, and deployment.

• Proficient in Git-based version control.

• Familiarity with CI/CD processes for data pipelines.

• Strong Python programming skills for developing data pipelines, orchestration, and custom transformations.

• Proven track record of integrating testing, monitoring, and alerting into pipelines proactively.

• Knowledge of BI/analytics tools, preferably Sigma.

• Experience with orchestration and workflow tools.

• In-depth understanding of cloud platforms.

• Exposure to supporting ML/AI pipelines or streaming and real-time data.

• A curious mindset and eagerness to become a subject matter expert.

• A passion for tackling real problems while upholding high standards.

• Empathy and recognition of diverse perspectives.

• A customer-centric approach.

• Enthusiasm for exploring and implementing AI technologies.

• Authorized to work in the U.S. without sponsorship.

🏝️ Benefits

• Competitive salary and equity options.

• Remote-first work environment.

• Flexible PTO policy.

• 401(k) retirement plan.

• Comprehensive medical, dental, and vision coverage.

• 16 weeks of paid parental leave for both primary and secondary caregivers.

• $1,000 reimbursement for work-from-home technology setup.

• $1,000 reimbursement for learning and development opportunities.

• Company-funded sustainability subscription to maintain carbon neutrality for employee activities like travel.