Senior Data Engineer
Company websiteevolve.com (Evolve, opens in new tab)
Base salary $155K to $165K
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
At Evolve, we’re on a mission to make vacation rental easy for everyone. Our high-performing, customer-obsessed team runs on curiosity, communication, and accountability—working together to create exceptional experiences for our owners and guests. Whether solving big challenges, delivering outstanding results, or celebrating wins, we approach every day with purpose and passion. If you’re ready to join a mission-driven company where every teammate has the opportunity to thrive, Evolve might just be the place for you.
Why This Role
At Evolve, data powers every aspect of how we transform the vacation rental industry. From optimizing guest experiences to enabling smarter homeowner engagement, our data platform supports scalable decision-making, operational excellence, and future-forward innovation.
As a Senior Data Engineer, you'll be a key technical leader responsible for building and evolving our data ecosystem. You'll help design and optimize pipelines and architecture that support core reporting, analytics, and machine learning workloads, while also leading initiatives focused on cost efficiency, performance, and data accessibility.
This role is ideal for an engineer who is passionate about modern data architecture, cloud-native infrastructure, and mentoring others while delivering high-impact systems that make data a true asset.
What You'll Do
- Serve as a senior technical contributor helping shape the design of scalable, modular, and performant data systems.
- 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 modern tools such as Airbyte, Fivetran, dbt, and Python.
- Design and maintain performant data models in Snowflake, including star schemas and other dimensional modeling techniques that support clean, well-structured, and easily consumable datasets - including those optimized for AI tools and text-to-SQL interfaces.
- Lead efforts to improve data observability, including proactive alerting, monitoring, and incident response capabilities.
- Explore and implement open table formats (e.g., Apache Iceberg) to enable flexibility, scalability, and interoperability across data systems.
- Collaborate with DevOps and Cloud teams to ensure our AWS-based infrastructure is optimized for performance, cost, and reliability.
- Establish and maintain engineering best practices, including version control, code reviews, CI/CD pipelines, and automated testing.
- Act as a mentor to other engineers and analytics professionals, fostering knowledge sharing and high standards for quality and consistency.
- Stay current on emerging technologies and bring forward recommendations for improving platform capabilities, performance, or efficiency.
What Makes You a Great Fit
- 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 modern data stack tools such as dbt, Airbyte, Fivetran, and Snowflake.
- Strong understanding of cloud technologies, particularly AWS (e.g., S3, Lambda, EC2, IAM).
- Familiarity with open data formats and scalable data lakehouse principles (e.g., Iceberg or similar).
- Experience building and operating workflow orchestration tools such as Airflow.
- Knowledge of observability and monitoring frameworks to support data platform health and alerting.
- Comfortable working in Git-based environments with strong CI/CD practices.
- Ability to communicate technical concepts effectively to both technical and non-technical audiences.
- Demonstrated ability to mentor, coach, and collaborate across a multidisciplinary data team.
Compensation
Annual base salary range: $155,000-$165,000, depending on experience and qualifications. This role is also eligible for a variable annual bonus based on both company and individual performance.
Location
All Evolve team members must live in one of our approved locations by their first day. We can hire from anywhere in the U.S. except D.C. and Hawaii. Some positions may also have restrictions based on compensation in the following states: California, Maryland, New York, Pennsylvania, Rhode Island, and Washington. If you live in Colorado, you can work remotely anywhere in the state, at our downtown Denver office, or a hybrid of both! If you're planning to move soon, please let us know, and we'll be happy to review your application again.
California Applicant Privacy Policy | Evolve
How we reward Evolvers
We’re intentional about offering benefits that empower every Evolver to thrive both professionally and personally because they’re more than perks—they’re investments in our customer-obsessed, high-performing team.
We believe in treating others as they want to be treated, providing benefits that deliver real value, and challenging the status quo to meet the diverse needs of our team. Whether it’s helping you take care of your health, plan for the future, or celebrate life’s milestones, our offerings are designed to support you every step of the way.
- Financial Wellness: Industry-competitive pay, equity in the company, and a 401(k) with a 4% immediate vesting match.
- Family Support: 16-18 weeks of paid parental leave for birthing parents and 10 weeks for non-birthing parents, plus infertility coverage.
- Health & Wellness: Comprehensive medical, dental, and vision plans, with 100% employer-paid dental and vision for individual coverage, a low-cost medical option, 10 free mental health visits, and pet insurance.
- Time to Recharge: Generous PTO, RTO (for full-time exempt employees), sick leave, holidays, and a personal holiday to celebrate what matters most to you.
- Travel Perks: Annual Evolve travel credit after one year and discounts on stays at all Evolve properties.
- Growth Opportunities: World-class onboarding programs, learning, and development resources to help you grow your impact.
- Connection: Employee Resource Groups celebrating our diverse communities at Evolve.
How we work together
With our core values as our guide, every Evolver helps shape the company we want to work for and the people we want to be. We’ve cultivated a culture of collaboration, care, and responsibility that we can all be proud of, and we’re excited to see what you’ll bring as your authentic self.
Still curious about who we are and what we do? Read more about our business and our culture at evolve.com.
EEO
At Evolve, we are committed to diversity and inclusion. As an equal opportunity employer, all qualified candidates will be considered for employment without regard to race, color, creed, religion, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, national origin, ancestry, citizenship status, military service or veteran status, physical or mental disability, or any other legally protected characteristic. Evolve participates in e-Verify for all positions.
If you have a disability or special need that requires accommodation at any point in the hiring process, please let your recruiter know.
Source: Evolve on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($155,000) is above 39% of the 3,552 Data & ML roles nationwide listed on this site; 15 others list the same floor. Their median floor is $170,000; the middle half runs from $137,700 to $200,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 5, 2026.
This listingSenior Data Engineer$155K to $165K
Staff Machine Learning Engineer$160K to $208K
Senior Product Designer, Growth$141K to $184K
Principal Product Manager, Pro$170K to $205K
Principal Product Manager- Activation$190K to $210K
Chart as a table
| Role | Published base |
|---|---|
| Senior Data Engineer (this listing) | $155K - $165K |
| Staff Machine Learning Engineer | $160K - $208K |
| Senior Product Designer, Growth | $141K - $184K |
| Principal Product Manager, Pro | $170K - $205K |
| Principal Product Manager- Activation | $190K - $210K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Absent from the employer's board; confirmation pending
- Closure observed on Oct 21, 2026
- Reappeared on the employer's board
- Observed since
- Employer-stated posting date
- 2026-08-25
Where this pay comes from
Location as the employer wrote it: Remote - US
Annual base salary range: $155,000-$165,000, depending on experience and qualifications. This role is a
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
