Data Engineer - Remote, AI/ML & Databricks Pipelines

V4C.ai; United States; Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Remote work opportunities

Flexible hours

Professional growth and development

Job summary

V4C.ai is seeking a data engineer in the United States to design, develop, and maintain large-scale data systems. The role focuses on building robust ETL pipelines and data models, leveraging Hadoop, Spark, PySpark, and Kafka, with an eye toward Databricks and AI/ML projects.

Ideal candidates will have strong Python and SQL skills, experience with multiple data tools, and a willingness to learn new technologies in a dynamic, remote-friendly environment.

Qualifications

• Experience developing and maintaining data systems.
• Strong SQL and Python proficiency for data processing.
• Experience designing and implementing ETL pipelines and data models.
• Familiarity with cloud data platforms and big data tools is a plus.

Responsibilities

• Design, develop, and maintain large-scale data systems.
• Develop and implement ETL processes using various tools and technologies.
• Collaborate with cross-functional teams to design and implement data models.
• Work with big data tools like Hadoop, Spark, PySpark, and Kafka.
• Develop scalable and efficient data pipelines.
• Troubleshoot data-related issues and optimize data systems.

Skills

Python

SQL

ETL

Data modeling

Tools

Teradata

Informatica

Hadoop

Spark

PySpark

ADF

Snowflake

Big Data

Scala

Kafka

Job description

V4C.ai is seeking a data engineer in the United States to design, develop, and maintain large-scale data systems. The role focuses on building robust ETL pipelines and data models, leveraging Hadoop, Spark, PySpark, and Kafka, with an eye toward Databricks and AI/ML projects.

Ideal candidates will have strong Python and SQL skills, experience with multiple data tools, and a willingness to learn new technologies in a dynamic, remote-friendly environment.