Data Capital Inc

Data Capital Inc

SR.Google Cloud Platform Data Engineer

Sunnyvale, California · Senior

Sponsorship not specifiedDetected 119 days ago
PythonJavaScalaSQLNoSQLBigQuerySnowflakeDatabricksGCPCloud PlatformsDockerKubernetesKafkaSparkData EngineeringAI Orchestration

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

80% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 2 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Walmart · O`Reilly Auto

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • • Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing.
  • • Build and optimize data solutions using Apache Spark (PySpark) and streaming technologies.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing.
  • Build and optimize data solutions using Apache Spark (PySpark) and streaming technologies.
  • Develop and manage data lakes, data warehouses, and cloud-based data platforms on Google Cloud Platform.
  • Optimize Spark jobs, SQL queries, and data workflows for performance and cost efficiency.
  • Implement data quality, monitoring, and alerting frameworks.

Nice to have

  • Scala/Java knowledge.
  • Experience with Kafka, Databricks, Docker, Kubernetes, Snowflake, or NoSQL databases.

Skills

  • Strong experience in Big Data technologies, especially Apache Spark and PySpark.
  • Expertise in ETL processes and workflow orchestration using Apache Airflow.
  • Strong programming skills in Python and SQL.
  • 4+ years of hands-on experience with Google Cloud Platform services (e.g., BigQuery, Pub/Sub, Dataflow).
  • Experience with real-time data streaming and scalable data architectures.
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This listing is sourced directly from Data Capital Inc's careers page and normalized into a canonical job model.