Match score not available

ML/Data Engineer (Remote) – 4406

Remote: 
Full Remote
Salary: 
180 - 250K yearly
Work from: 

Offer summary

Qualifications:

Hands-on experience in data engineering., Proficient in Golang and Python., Expertise in Kafka and Postgres., Solid experience in AWS environments..

Key responsabilities:

  • Build and maintain data platform and infrastructure.
  • Design and implement efficient ELT pipelines.
HIRECLOUT logo
HIRECLOUT
51 - 200 Employees
See more HIRECLOUT offers

Job description

Our client is a leading member of the cloud cybersecurity community.

What You Will Be Doing

  • Build and maintain the data platform and infrastructure to enable data transformation, machine learning workflows, and analytics.
  • Design and implement efficient ELT pipelines, enhance data transformations, and manage data movement across systems using event-driven architectures.
  • Perform ML model training, fine-tune large language models (LLMs), and establish ML Ops best practices.
  • Evaluate and recommend technologies to improve scalability and performance, optimizing tools like Kafka, Apache Hudi, StarRocks, Trino, and more.
  • Work closely with data scientists, engineers, and stakeholders to support domain-specific products and applications.
  • Contribute to maintaining a highly available, secure, and scalable system on AWS, leveraging Kubernetes and other cloud-native tools.

What You Will Need

  • Strong generalist with hands-on experience in data engineering, machine learning, and infrastructure.
  • Proficient in Golang and Python, with a deep understanding of event-driven microservices architectures.
  • Expertise in Kafka, Postgres, and building ELT pipelines. Familiarity with tools like AWS Glue, Dagster, DBT, Clickhouse, and Apache Superset is a plus.
  • Solid experience in cloud environments, preferably AWS, with containerized applications using Kubernetes.
  • Knowledge of modern data architectures, including lakehouses and real-time data processing with tools like Apache Hudi.
  • Experience with ML Ops, including model training, deployment, and fine-tuning.

Why Us

Benefits And Perks

  • Competitive Salary : $180,000 – $250,000 per Year
  • Full Health, Vision, and Dental Coverage

Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.

This position does not offer sponsorship.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Problem Solving

Data Engineer Related jobs