Senior Data Engineer

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

📋 Description

• Act as a senior technical expert in the development of scalable, modular, and high-performance data systems.

• Collaborate with cross-functional teams to design and implement dependable data pipelines for analytics, reporting, and data science initiatives.

• Create and enhance ELT workflows utilizing Airbyte, Fivetran, dbt, and Python.

• Design and uphold high-performance Snowflake data models, incorporating star schemas and dimensional modeling strategies.

• Optimize datasets for AI applications and text-to-SQL interfaces.

• Spearhead data observability initiatives, including alerting, monitoring, and incident management.

• Investigate and adopt open table formats such as Apache Iceberg.

• Work in conjunction with DevOps and Cloud teams to enhance AWS infrastructure for performance, cost-efficiency, and reliability.

• Set engineering best practices, encompassing version control, code reviews, CI/CD pipelines, and automated testing.

• Provide mentorship to engineers and analytics professionals.

• Keep abreast of emerging technologies and propose platform enhancements.

⛳️ Requirements

• Over 8 years of experience in data engineering, architecture, or related technical roles focused on large-scale data systems.

• Extensive experience with SQL and Python for data transformation and automation tasks.

• Practical experience with dbt, Airbyte, Fivetran, and Snowflake.

• Solid knowledge of AWS components, including S3, Lambda, EC2, and IAM.

• Understanding of open data formats and scalable data lakehouse concepts, such as Iceberg.

• Experience in building and managing workflow orchestration tools like Airflow.

• Familiarity with observability and monitoring frameworks.

• Proficiency in Git-based environments with strong CI/CD methodologies.

• Capability to articulate technical concepts to both technical and non-technical stakeholders.

• Proven ability to mentor, coach, and collaborate within a multidisciplinary data team.

🏝️ Benefits

• Competitive industry pay.

• Equity opportunities within the company.

• 401(k) plan with a 4% immediate vesting match.

• 16-18 weeks of paid parental leave for birthing parents.

• 10 weeks of paid parental leave for non-birthing parents.

• Coverage for infertility treatments.

• Comprehensive medical, dental, and vision insurance plans.

• 100% employer-covered dental and vision for individual plans.

• Affordable medical options available.

• 10 complimentary mental health visits.

• Pet insurance offerings.

• Generous paid time off (PTO).

• Remote work options for full-time exempt employees.

• Sick leave provisions.

• Paid holidays.

• Personal holiday allowance.

• Annual travel credit for Evolve after one year of service.

• Discounts on accommodations at all Evolve properties.

• Top-tier onboarding programs.

• Access to learning and development resources.

• Employee Resource Groups for support and community.