Senior Data Engineer

🕒 August 25

🇺🇸 United States – Remote

💵 $155k - $165k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Evolve

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Evolve is a vacation rental company that provides a seamless booking experience for travelers seeking private, professionally-cleaned rental homes. With a focus on hospitality, they offer 24/7 guest support and guarantee the best rates on vacation rentals. Evolve also ensures customer satisfaction with a 'Rest Easy' promise, addressing any issues that may arise. The company offers a wide variety of rental properties, including homes with specific features like pools, pet-friendliness, and proximity to popular destinations such as ski slopes and beaches. Evolve also supports the community through its Building Hospitality program and provides services for homeowners to start, manage, and grow their rental businesses.

📋 Description

• Serve as a senior technical contributor shaping scalable, modular, and performant data systems • Partner with cross-functional teams to deliver reliable data pipelines for analytics, reporting, and data science • Develop and optimize ELT workflows using Airbyte, Fivetran, dbt, and Python • Design and maintain Snowflake data models, including star schemas and dimensional modeling techniques • Optimize datasets for AI tools and text-to-SQL interfaces • Improve data observability through alerting, monitoring, and incident response • Explore and implement open table formats such as Apache Iceberg • Collaborate with DevOps and Cloud teams to optimize AWS infrastructure for performance, cost, and reliability • Establish engineering best practices including version control, code reviews, CI/CD, and automated testing • Mentor engineers and analytics professionals • Evaluate emerging technologies and recommend platform improvements

🎯 Requirements

• 6+ years 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 dbt, Airbyte, Fivetran, and Snowflake • Strong understanding of AWS, including S3, Lambda, EC2, and IAM • Familiarity with open data formats and scalable data lakehouse principles, such as Iceberg • Experience with workflow orchestration tools such as Airflow • Knowledge of observability and monitoring frameworks • Comfortable working in Git-based environments with strong CI/CD practices • Ability to communicate technical concepts to technical and non-technical audiences • Ability to mentor, coach, and collaborate across a multidisciplinary data team • Must live in an approved U.S. location; hiring is available anywhere in the U.S. except D.C. and Hawaii • Some restrictions may apply in California, Maryland, New York, Pennsylvania, Rhode Island, and Washington

🏖️ Benefits

• Industry-competitive pay • Equity in the company • 401(k) 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 • Infertility coverage • Comprehensive medical, dental, and vision plans • 100% employer-paid dental and vision for individual coverage • Low-cost medical option • 10 free mental health visits • Pet insurance • Generous PTO • RTO for full-time exempt employees • Sick leave • Holidays • Personal holiday • Annual Evolve travel credit after one year • Discounts on stays at all Evolve properties • World-class onboarding programs • Learning and development resources • Employee Resource Groups