Senior Data Engineer: Scalable ETL & ML Pipelines, Remote

VORKIS; Los Angeles (CA); Remote; USD 90,921 - 129,494; Full time

Job summary

A dynamic tech company in Los Angeles is seeking a Senior Software Engineer with expertise in Data Engineering. The role involves designing microservices, developing ETL workflows, and enhancing data quality through third-party integrations. Ideal candidates will have a strong background in Java and cloud environments, along with a proactive attitude. This position is remote-friendly and offers opportunities to engage with various data challenges in a fast-paced environment.

Qualifications

• Strong experience in Data Engineering with Java and cloud environments.
• Proficient in building robust, scalable, and maintainable data pipelines.
• Ability to tackle data duplication, governance, and high availability.

Responsibilities

• Design and develop microservices using Java on Kubernetes.
• Develop and maintain end-to-end ETL workflows.
• Enrich financial data through third-party integrations.

Skills

Testing

Machine Learning

Azure

Business Intelligence

Agile

Snowflake

Service Level Agreement (SLA)

ClickHouse

Data Engineering

BigQuery

Prometheus

SQL

JAVA

Redis

Data Pipelines

Kafka

Apache

Grafana

Communication Skills

Data Warehousing

Information Security

Big Data

Spark

AWS

Pipeline

Monitoring

Python

Job description

A dynamic tech company in Los Angeles is seeking a Senior Software Engineer with expertise in Data Engineering. The role involves designing microservices, developing ETL workflows, and enhancing data quality through third-party integrations. Ideal candidates will have a strong background in Java and cloud environments, along with a proactive attitude. This position is remote-friendly and offers opportunities to engage with various data challenges in a fast-paced environment.