Jobs › Companies › Clearcapital › Data Engineer

Sobre esta vaga de Data Engineer na Clearcapital

Clearcapital · Híbrido · Reno, NV

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.
  • Preferred

  • 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.
  • 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.

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    Como este salário de Data Engineer se compara

    Esta vaga paga $136,850/yr — em linha com da faixa típica para vagas de Data Engineer.

    $101,500 a mediana $164,500 $240,000

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