matchpoint solutions

matchpoint solutions

Data Engineer

Milpitas, Santa Clara County · Mid

Sponsorship not specifiedDetected 34 days ago
SQLDatabricksAWSGCPAzureCloud PlatformsCI/CDGrafanaDatadogDevOpsKafkaSparkAirflowData EngineeringCommunicationProblem Solving

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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

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Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

50% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 3 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: SANOFI · BNY MELLON · STELLANTIS

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.

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About the role

  • We are seeking a highly skilled Data Engineer with strong expertise in Databricks and PySpark.

Responsibilities

  • Design, build, and maintain scalable data pipelines using Databricks and PySpark.
  • Develop and manage ETL workflows and data integration processes.
  • Implement data orchestration and workflow automation using Apache Airflow.
  • Build real-time and batch data streaming solutions leveraging Apache Kafka.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.
  • Optimize data workflows for performance, scalability, and reliability.
  • You will play a key role in building, optimizing, and maintaining our data infrastructure to support data-driven decision-making across the organization.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 3+ years of experience in data engineering or a similar role.
  • Strong hands-on experience with Databricks and PySpark.
  • Proficiency in SQL and working with large-scale data processing.
  • Familiarity with data modeling, warehousing, and governance best practices.
  • The ideal candidate will also have hands-on experience with Airflow for orchestration and Kafka for streaming data pipelines.

Nice to have

  • Experience with Delta Lake, Spark Streaming, or other big data technologies.
  • Knowledge of CI/CD tools and DevOps practices for data workflows.
  • Exposure to monitoring tools like Datadog, Grafana, or similar.
  • Experience with cloud platforms (AWS, Azure, or GCP) is a plus.

Company info

  • Job Title: Data Engineer Location: [Your Location or "Remote"] About the Role: We are seeking a highly skilled Data Engineer with strong expertise in Databricks and PySpark.
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