Senior Data Engineer

About Ascent Ascent Developer Solutions is a leading private lending platform, serving real estate developers nationwide in the acquisition, renovation, and construction of residential real estate. Founded by a leadership team with a deep understanding and personal experience in virtually every facet of real estate development, Ascent is uniquely positioned to create custom, innovative lending solutions for a variety of real estate development business strategies. The Role: We are seeking a skilled and motivated Senior Data Engineer to join our growing real estate data and analytics team. In this role, you will be a key driver of our strategic migration from Databricks to Snowflake, building the scalable, cloud-native data infrastructure that powers property analytics, market intelligence, and business reporting. The ideal candidate brings deep hands-on experience with Snowflake, Azure cloud services, PySpark, Python, and SQL, combined with a genuine understanding of real estate data — from property records and transaction data. You will work cross-functionally with data analysts, data scientists, and business stakeholders to ensure our data platforms are reliable, performant, and trusted across the organization. Core technology stack: Snowflake Azure Data Factory Azure Data Lake PySpark Python SQL FastAPI React Databricks Azure Synapse Git / CI/CD REST APIs Key Responsibilities: Snowflake 4+ years of hands-on experience with Snowflake: expertise in data modeling, performance tuning, Snowpark, tasks, streams, and dynamic tables Databricks / PySpark: 2+ years working with Apache Spark for large-scale data processing Python: 4+ years building production-grade data engineering solutions SQL: strong proficiency in complex querying, performance tuning, and data warehouse design FastAPI: 2+ years building and deploying RESTful APIs with FastAPI or similar Python frameworks (Flask, Django REST); experience with async patterns, authentication, and API versioning React: 2+ year working knowledge of React for building internal data tools, dashboards, comfort with hooks, state management, and consuming REST APIs Azure Cloud: hands-on experience with Azure Data Factory, Azure Data Lake Storage, and Azure Synapse Real Estate Domain: understanding of real estate data structures, MLS systems, property data, and related workflows Solid understanding of ETL/ELT processes, data modeling methodologies (Kimball, Data Vault), and performance tuning Experience with version control (Git) and CI/CD pipeline automation Demonstrated ability to work independently on complex, ambiguous migration, and modernization projects Preferred Qualifications: Experience with Delta Lake, including migration patterns from Delta to Snowflake Knowledge of dbt (data build tool) for transformation workflows Familiarity with real estate data providers such as CoStar, ATTOM, CoreLogic, or Zillow APIs The Pay Salary range is $120,000-$130,000 with a discretionary bonus of up to 20% per year The Work Environment This role works on-site from Ascent's Encino offices 2-3 days/week and remotely from southern California otherwise. Full-time, 40 hours per week; must be available for occasional overtime. Some nights and weekends required. Our Benefits We offer a comprehensive benefits package designed to support your health, well-being, and work-life balance. Our benefits include five health plans, two dental plans, health savings and flexible spending accounts, vision coverage, a 401(k) plan, and other optional benefits from which to choose. Our Pledge We pledge to be fair and considerate in hiring and promoting individuals, ensuring everyone can contribute their fullest potential regardless of background, identity, or personal circumstances. By promoting equal opportunity, we not only enhance our workplace but also contribute to a more just and equitable society. At Ascent, we stand united in building a community where everyone is empowered to succeed. Thank you for joining us on our journey towards a more inclusive future.

{
  "content_hash": "a78870d9a5c8a86dba8ff3a61f6507f7b837d9a311e43ff4b4d2d135a3adc3ea",
  "source_hash": "12acc8bbb1998f0bf8ab3a6b1c05b14c25b25de8be3442293fcbb30f90b9b479",
  "last_changed_at": "2026-05-29T22:40:32.174Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Encino, CA",
    "city": "Encino",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": 130000,
  "salary_min": 120000,
  "inferred_at": "2026-06-06T20:11:01.069Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Encino, CA",
      "city": "Encino",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}

{}

{
  "title": "Senior Data Engineer",
  "offices": [
    {
      "id": 4008228009,
      "name": "Encino HQ",
      "location": "15821 Ventura Blvd, Suite 135, Encino, CA 91436",
      "child_ids": [
        4008231009
      ],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "Encino, CA"
  },
  "metadata": [],
  "updated_at": "2026-05-19T12:51:31-04:00",
  "departments": [
    {
      "id": 4009062009,
      "name": "Data & Analytics",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "Ascent Developer Solutions",
  "requisition_id": 4015100009,
  "first_published": "2025-09-04T13:06:04-04:00",
  "application_deadline": null
}