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Sr. Data Engineer

Job in Irvine, Orange County, California, 92602, USA
Listing for: VORKIS
Full Time, Seasonal/Temporary position
Listed on 2026-05-09
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Company provides cutting-edge trade surveillance technology that protects investors, enhances transparency, and ensures regulatory compliance across traditional financial assets and crypto markets.

Salary: 80 - N/A per hour
Location: USA, Los Angeles
Employment option: Remote
Job type: Full time

Job Summary:
Company provides cutting-edge trade surveillance technology that protects investors, enhances transparency, and ensures regulatory compliance across traditional financial assets and crypto markets.

Skills

Must Have

Hard skills:

  • beginner in:
    Testing, Machine Learning, Azure, BI, Agile
  • competent in:
    Snowflake
  • proficient in:
    Service Level Agreement SLA, Click House, Data Engineering, Big Query, Prometheus, SQL, JAVA, Redis, Data Pipelines, Kafka, Apache, Grafana
  • expert in: ETL, Databases

Soft skills:

  • competent in:
    Communication Skills

Nice-to-have

Hard skills:

  • beginner in:
    Data Warehousing, Information Security
  • competent in:
    Big Data, Spark, AWS, Pipeline
  • proficient in:
    Monitoring, Python

Job Description

Additional Requirements

We’re looking for a strong Senior Software Engineer with Data Engineering experience. Someone who is proficient in building robust, scalable, maintainable and thoroughly monitored data pipelines on cloud environments.

As a young and ambitious company in an extremely dynamic space, we pride ourselves on being independent, accountable, and organized, have a self-starter attitude, and be willing to get their hands dirty with day-to-day work that might be out of their official scope, while keeping an eye on their goals and the big picture.

Responsibilities

  • Design and develop the data's team micro services - Java services running on K8S.
  • Tackle data duplication, velocity, schema adherence (and schema versioning), high availability, data governance, and more.
  • Develop, design, and maintain end-to-end ETL workflows, including data ingestion and transformation logic, involving different data sources.
  • Enrich financial data through third-party data integrations.
  • Develop and maintain our data pipeline written mostly in Java and running on K8S in a micro-service architecture.
  • Plan and communicate integrations with other teams that consume the data and use it for insights creation.
  • Ongoing improvement of the way data is stored and served. Improve queries and data formats to make sure the data is optimized for consumption by a variety of clients.
  • #J-18808-Ljbffr
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