Pay
In line with similar jobs
$155K–$165K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer
Remote - US
Live, first seen by us 72 days ago- Pay
$155,000–165,000/year · Base — pay source
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
Read the full posting- Work setting
Remote — work setting source
Listed location: Remote - US
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDevelop and optimize ELT workflows with Airbyte, Fivetran, dbt and Python
Design and maintain star-schema data models in Snowflake
Lead data observability, alerting, monitoring and incident response
Explore and implement open table formats such as Apache Iceberg
Mentor engineers and analytics professionals
From the employer’s posting
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
Lead efforts to improve data observability, including proactive alerting, monitoring, and incident response capabilities.
Explore and implement open table formats (e.g., Apache Iceberg)
Act as a mentor to other engineers and analytics professionals
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 25, 202672 days ago
- Recorded sightings
- 28
- Last seen by us
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 72
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,283 similar postings that came down. Coming down is not always a hire.
Evolve is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Airbyte
- AWS
- dbt
- Fivetran
- Iceberg
- S3
- Snowflake
- Airflow
Where the posting names them
- 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.
- 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.
- 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.
- 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).
- 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.
- 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).
- 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.
- 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.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
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Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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 details
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- Pay
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
- Location & working pattern
Remote - US
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
- Work authorization
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.