Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
- Pay
$120,000–153,700/year · BaseLocation-specific pay — pay source
What You Can Expect Compensation: The base salary for this position ranges from $120,000 to $153,700 annually, depending on your location, experience, and qualifications. Additional compensation offerings include company profit-sharing bonus program, communication stipends, and referral bonuses. Inclusive benefits package offering: Comprehensive medical, dental, and company paid vision insurance, 401(k) retirement plan with employer match, voluntary life and AD&D insurance options, voluntary supplemental insurances for accident, critical illness, and legal services, paid time off (PTO) and paid holidays, employee assistance and wellness programs, company paid short term disability coverage, company contributions to health saving funds (with participation in the high deductible health plan. We offer company paid access to Galileo for virtual primary care and Rula for virtual mental health resources.
Read the full posting- Work setting
Working pattern needs review — work setting source
What We Value Wherever it Leads, Whatever it Takes® - No matter how remote, complex, or unexpected. Our commitment never wavers. Hire NICE people - Skills can be taught but character shines through. We seek those who bring integrity, kindness, and grit.
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-Time
Employment type in the employer’s posting: Full-Time
From the employer’s posting
What you’ll work on
Full postingYou will work closely with the entire engineering organization to turn large, messy, multi-source datasets into reliable, product-ready data.
From the employer’s posting
Clear Capital is building the future of real estate data. Our goal is knowing more about a property than anybody else and in the process, making home ownership valuations more fair and equitable for millions of people.Every project our data team works on ships as a product or directly supports one that does. We are not a reporting team, our work moves Clear Capital's revenue. As a Data Engineer, you will design, build, and operate the data pipelines and platforms behind our data & analytics products. You will work closely with the entire engineering organization to turn large, messy, multi-source datasets into reliable, product-ready data. You will also be a force multiplier for your team. You will raise the technical bar through design reviews, mentorship, and clear documentation, and you will anticipate what others need before they ask. What You Will Work On
Education & alternatives
Who We Are Looking For - Bachelor's degree in a technical field, or equivalent practical experience. - 3-5+ years of overall experience in software or data engineering.
About Clearcapital
Clear Capital is a national real estate analytics, data solutions and valuation technology company with a simple purpose: to build confidence in real estate decisions to strengthen communities and improve lives.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 2026today
- Recorded sightings
- 1
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 0
Early. Similar jobs usually come down between day 6 and day 55.
From 13,214 similar postings that came down. Coming down is not always a hire.
Clearcapital 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
- AWS
- dbt
- Docker
- DynamoDB
- Iceberg
- Kubernetes
- S3
- Airflow
Where the posting names them
- 3-5+ years of overall experience in software or data engineering. - 3+ years of professional Python development. - Strong understanding of data modeling, data lake architecture, and master data management concepts.
- Hands-on experience with AWS services such as IAM, S3, Glue, RDS or Aurora, EKS, SQS, DynamoDB, and Lambda. - Experience with workflow orchestration (e.g., Airflow) and SQL-based transformation (e.g., dbt). - Experience with containerization and orchestration (e.g., Docker, Kubernetes).
- Familiarity with ELT standards and best practices. - Hands-on experience with AWS services such as IAM, S3, Glue, RDS or Aurora, EKS, SQS, DynamoDB, and Lambda. - Experience with workflow orchestration (e.g., Airflow) and SQL-based transformation (e.g., dbt).
- Experience with workflow orchestration (e.g., Airflow) and SQL-based transformation (e.g., dbt). - Experience with containerization and orchestration (e.g., Docker, Kubernetes). - Proficiency with Git and collaborative development on a shared codebase.
Preferred - Experience with open table formats such as Apache Iceberg. - Experience working with MLS, real estate, property, or other large public-record datasets.
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Applying through Lever
- No account needed: one form, and Lever reads your resume into the profile recruiters search.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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
Clear Capital is building the future of real estate data. Our goal is knowing more about a property than anybody else and in the process, making home ownership valuations more fair and equitable for millions of people.Every project our data team works on ships as a product or directly supports one that does. We are not a reporting team, our work moves Clear Capital's revenue.
As a Data Engineer, you will design, build, and operate the data pipelines and platforms behind our data & analytics products. You will work closely with the entire engineering organization to turn large, messy, multi-source datasets into reliable, product-ready data. You will also be a force multiplier for your team. You will raise the technical bar through design reviews, mentorship, and clear documentation, and you will anticipate what others need before they ask.
What You Will Work On
- Design, build, and maintain ELT pipelines that ingest data from APIs, object stores, databases, and streaming or queue-based sources.
- Build scalable data models and transformations that serve analytics, machine learning, and operational use cases.
- Own and improve existing production data pipelines, including modernizing legacy workflows.
- Standardize and match data across sources, including entity resolution and address normalization.
- Build and maintain data quality checks, monitoring, and alerting so issues are caught early.
- Partner with ML, BI, and data operations teams to understand their needs and deliver the data they rely on.
- Champion engineering best practices: code review, testing, documentation, and version
Who We Are Looking For
- Bachelor's degree in a technical field, or equivalent practical experience.
- 3-5+ years of overall experience in software or data engineering.
- 3+ years of professional Python development.
- Strong understanding of data modeling, data lake architecture, and master data management concepts.
- Familiarity with ELT standards and best practices.
- Hands-on experience with AWS services such as IAM, S3, Glue, RDS or Aurora, EKS, SQS, DynamoDB, and Lambda.
- Experience with workflow orchestration (e.g., Airflow) and SQL-based transformation (e.g., dbt).
- Experience with containerization and orchestration (e.g., Docker, Kubernetes).
- Proficiency with Git and collaborative development on a shared codebase.
- Comfortable with the command line.
- Experience with open table formats such as Apache Iceberg.
- Experience working with MLS, real estate, property, or other large public-record datasets.
- Experience building platforms or internal tools that other engineers use.
- Experience with data lake or lakehouse architectures at scale.
Preferred
Why Join Us
- Your work ships to customers and directly drives revenue. It is not BI or internal reporting.
- Work on data that affects how people value and finance their homes.
- Partner closely with product management on a roadmap that you help shape.
- Shape the architecture and standards for a growing data platform.
What You Can Expect
- Compensation: The base salary for this position ranges from $120,000 to $153,700 annually, depending on your location, experience, and qualifications. Additional compensation offerings include company profit-sharing bonus program, communication stipends, and referral bonuses.
- Inclusive benefits package offering: Comprehensive medical, dental, and company paid vision insurance, 401(k) retirement plan with employer match, voluntary life and AD&D insurance options, voluntary supplemental insurances for accident, critical illness, and legal services, paid time off (PTO) and paid holidays, employee assistance and wellness programs, company paid short term disability coverage, company contributions to health saving funds (with participation in the high deductible health plan. We offer company paid access to Galileo for virtual primary care and Rula for virtual mental health resources.
- Through our Anniversary Program, we celebrate the meaningful milestones and long tenure that reflect how much we value your contributions and commitment to our team.
- Career and skill development resources to help advance your career and personal growth.
- A mission-driven environment where your work makes a measurable impact on the real estate industry.
What We Value
- Wherever it Leads, Whatever it Takes® - No matter how remote, complex, or unexpected. Our commitment never wavers.
- Hire NICE people - Skills can be taught but character shines through. We seek those who bring integrity, kindness, and grit.
- Lift others up - We lead with empathy and strive to improve the lives of those around us.
- Sweat the details - Excellence lives in the little things. Getting it just so is how we make a big impact.
- Raise the bar - We don’t settle for industry standards, we redefine them.
About Us
Clear Capital is a national real estate analytics, data solutions and valuation technology company with a simple purpose: to build confidence in real estate decisions to strengthen communities and improve lives. Our goal is to provide customers with a complete understanding of nearly every U.S. property through our AI-driven analytics, data solutions, valuation services and automated appraisal review platforms. Our commitment to excellence - wherever it leads, whatever it takes® - is embodied by our team members across our brands and has remained steadfast in this pursuit since our first order in 2001.
Clear Capital is an equal-opportunity employer.
To all recruitment agencies: Clear Capital does not accept agency resumes. Please do not forward resumes to our jobs alias, Clear Capital employees, or any other company location. Clear Capital is not responsible for any fees related to unsolicited resumes.
Employment type
Full-Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
What You Can Expect Compensation: The base salary for this position ranges from $120,000 to $153,700 annually, depending on your location, experience, and qualifications. Additional compensation offerings include company profit-sharing bonus program, communication stipends, and referral bonuses. Inclusive benefits package offering: Comprehensive medical, dental, and company paid vision insurance, 401(k) retirement plan with employer match, voluntary life and AD&D insurance options, voluntary supplemental insurances for accident, critical illness, and legal services, paid time off (PTO) and paid holidays, employee assistance and wellness programs, company paid short term disability coverage, company contributions to health saving funds (with participation in the high deductible health plan. We offer company paid access to Galileo for virtual primary care and Rula for virtual mental health resources.
- Location & working pattern
Reno, NV
What We Value - Wherever it Leads, Whatever it Takes® - No matter how remote, complex, or unexpected. Our commitment never wavers. - Hire NICE people - Skills can be taught but character shines through. We seek those who bring integrity, kindness, and grit.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.