Data Engineer

Quantum Technologies. LLC; Plano (TX); Remote; USD 88,000 - 125,000; Full time

Job summary

Quantum Technologies. LLC in Plano, TX (Remote) seeks a Data Engineer for a 24-month assignment.

The role requires strong expertise in AI/ML engineering with TensorFlow, PyTorch, or Scikit-learn, plus proficiency in Python, Java, or Scala, and extensive data modeling, ETL, and warehousing experience. The candidate should have hands-on experience with Hadoop, Spark, or Kafka, solid SQL skills (PostgreSQL/MySQL), NoSQL (MongoDB/Cassandra), and familiarity with cloud platforms (AWS/Azure/Google

Qualifications

• Strong expertise in AI/ML Engineering with TensorFlow, PyTorch, or Scikit-learn.
• Proficient in Python, Java, or Scala.
• Extensive experience with data modeling, ETL, and data warehousing.
• Hands-on with Hadoop, Spark, or Kafka.
• Strong SQL skills; experience with PostgreSQL, MySQL.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud).

Responsibilities

• Develop AI/ML solutions across data platforms.
• Build data pipelines and warehousing solutions.
• Work with Hadoop, Spark, and Kafka.
• Manage SQL and NoSQL databases.
• Leverage cloud data services.
• Collaborate with teams in an Agile environment.

Skills

AI/ML Engineering

Python

Java

Scala

Data Modeling

ETL

Data Warehousing

Big Data

SQL

PostgreSQL

MySQL

MongoDB

Cassandra

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Hadoop

Spark

Kafka

Docker

Kubernetes

AWS

Azure

Google Cloud

Tableau

Power BI

Looker

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Data Engineer
Location: Plano, TX(Remote)
Duration: 24 Months + Extension
Bill Rate: $77/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

• Strong expertise in AI/ML Engineering, including experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit learn.
• Proficient in programming languages such as Python, Java, or Scala.
• Extensive experience with data modeling, ETL processes, and data warehousing solutions.
• Hands on experience with big data technologies such as Hadoop, Spark, or Kafka.
• Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.

Preferred Skills

• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Knowledge of data governance and data privacy regulations.
• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
• Familiarity with Agile methodologies and DevOps practices.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; Master's degree preferred.
• 10 years of experience in data engineering or a related field, with a strong focus on AI/ML Engineering.
• Proven ability to work in a fast paced environment and manage multiple priorities.
• Excellent problem solving skills and attention to detail.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.