Data Engineer

{
  "content_hash": "57f51bcddd18b9b955a8b3d9b4c1d13207cb6795a964763f8bbb936019438cba",
  "source_hash": "e83393ceefd54de6498ee13b153ed9cddc212aef844f5bbe581bcaf60e8e17c8",
  "last_changed_at": "2026-06-06T07:55:21.894Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "San Francisco",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": 220000,
  "salary_min": 170000,
  "inferred_at": "2026-06-06T19:19:54.680Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}

{}

{
  "lists": [
    {
      "text": "Responsibilities:",
      "content": "\n<li>Construct data pipelines to ingest and merge billions of individual entities into Windfall’s core data asset</li>\n<li>Work closely with our data science team to run ML models on top of billions of data points</li>\n<li>Build supporting data services and applications to orchestrate and monitor our data systems</li>\n"
    },
    {
      "text": "Some technology you will use:",
      "content": "\n<li>Cloud platform - GCP</li>\n<li>Programming languages - Java, Python, and Kotlin</li>\n<li>Data warehouse &amp; databases - BigQuery, Postgres, Scylla/Cassandra</li>\n<li>Distributed processing frameworks - Dataflow (Apache Beam) and Apache Spark</li>\n<li>Orchestration - Airflow</li>\n"
    },
    {
      "text": "Requirements:",
      "content": "\n<li>4-8 years of professional data engineering experience</li>\n<li>Significant experience working with Apache Beam/Spark/Flink or MapReduce</li>\n<li>Strong Object-oriented programming ability in a JVM language</li>\n<li>Expert knowledge of distributed data processing</li>\n<li>Familiarity with different datastores, their differences, and appropriate usages</li>\n<li>Experience at a sub-200 person company</li>\n<li>You communicate as well as you code</li>\n<li>You can simplify complex problems into simple solutions</li>\n<li>You balance a strong sense of ownership and responsibility in your work with collaboration and team alignment</li>\n<li>You are comfortable making trade-offs between quality, complexity, and speed-of-delivery</li>\n"
    },
    {
      "text": "Preferred Qualifications:",
      "content": "\n<li>Proven experience taking a large project from ideation to production</li>\n<li>Experience leading greenfield projects</li>\n<li>Working knowledge of cloud-native data engineering infrastructure</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1780428554896,
  "updatedAt": null,
  "categories": {
    "team": "Engineering",
    "location": "San Francisco or Denver",
    "commitment": "Full-Time",
    "allLocations": [
      "San Francisco or Denver"
    ]
  },
  "salaryRange": {
    "max": 220000,
    "min": 170000,
    "currency": "USD",
    "interval": "per-year-salary"
  },
  "workplaceType": "hybrid"
}