Senior Data Engineer

Evolve

8d • $155,000 - $165,000 • Remote

About The Position

At Evolve, the Senior Data Engineer helps build and evolve the company’s data ecosystem. This senior technical contributor shapes scalable, modular, and performant data systems and develops architecture and pipelines supporting reporting, analytics, data science, and machine learning workloads. The role also leads initiatives to improve cost efficiency, performance, data accessibility, observability, and reliability. It collaborates with cross-functional teams, including DevOps and Cloud, and mentors engineers and analytics professionals while promoting engineering standards and knowledge sharing.

Requirements

• At least 6 years of experience in data engineering, architecture, or related technical roles working with large-scale data systems.
• Deep experience with SQL and Python for data transformation and automation.
• Hands-on experience with modern data stack tools such as dbt, Airbyte, Fivetran, and Snowflake.
• Strong understanding of cloud technologies, particularly AWS, including services such as S3, Lambda, EC2, and IAM.
• Familiarity with open data formats and scalable data lakehouse principles, such as Iceberg or similar.
• Experience building and operating workflow orchestration tools such as Airflow.
• Knowledge of observability and monitoring frameworks for data platform health and alerting.
• Comfort working in Git-based environments with strong CI/CD practices.
• Ability to communicate technical concepts effectively to technical and non-technical audiences.
• Demonstrated ability to mentor, coach, and collaborate across a multidisciplinary data team.

Responsibilities

• Shape the design of scalable, modular, and performant data systems as a senior technical contributor.
• Partner with cross-functional teams to design and deliver reliable data pipelines for analytics, reporting, and data science use cases.
• Develop and optimize ELT workflows using tools such as Airbyte, Fivetran, dbt, and Python.
• Design and maintain performant Snowflake data models, including star schemas and other dimensional modeling techniques, producing well-structured, accessible datasets, including datasets optimized for AI tools and text-to-SQL interfaces.
• Lead improvements to data observability through proactive alerting, monitoring, and incident response capabilities.
• Explore and implement open table formats such as Apache Iceberg to support flexibility, scalability, and interoperability across data systems.
• Collaborate with DevOps and Cloud teams to optimize AWS infrastructure for performance, cost, and reliability.
• Establish and maintain engineering best practices, including version control, code reviews, CI/CD pipelines, and automated testing.
• Mentor engineers and analytics professionals, encouraging knowledge sharing and high standards for quality and consistency.
• Stay current with emerging technologies and recommend improvements to platform capabilities, performance, or efficiency.

Benefits

• Industry-competitive pay, equity in the company, and a 401(k) with a 4% immediate vesting match.
• 16–18 weeks of paid parental leave for birthing parents and 10 weeks for non-birthing parents, plus infertility coverage.
• Comprehensive medical, dental, and vision plans, including 100% employer-paid dental and vision for individual coverage and a low-cost medical option.
• 10 free mental health visits and pet insurance.
• Generous PTO, RTO for full-time exempt employees, sick leave, holidays, and a personal holiday.
• Annual Evolve travel credit after one year and discounts on stays at Evolve properties.
• Onboarding programs and learning and development resources.
• Employee Resource Groups.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed