Python Data Engineer

Jobs via Dice; Charlotte (NC); Hybrid; USD 100,000 - 125,000; Full time

Job summary

A dynamic role is available for a Python Data Engineer at a prestigious client in the Banking and Financial Industry in Charlotte, NC. This contract opportunity involves designing scalable data pipelines, optimizing SQL queries, and collaborating with teams to deliver high-quality data solutions. If you have a strong background in Python, the Hadoop ecosystem, and several years of relevant experience, apply today to seize this exciting opportunity!

Benefits

Health insurance (medical, dental, vision)

401(k)

Paid sick leave

Qualifications

• 5+ years of experience in software development or data engineering roles.
• Strong hands-on experience with Python libraries: pandas, NumPy, PySpark, Spark.
• Solid understanding of the Hadoop ecosystem.

Responsibilities

• Design, develop, and deploy scalable data pipelines using Python and Hadoop-based tools.
• Write efficient and maintainable Python code using libraries like pandas, NumPy, and PySpark.
• Develop and optimize SQL queries across large datasets using Hive and Impala.

Skills

Python

pandas

NumPy

PySpark

SQL

Hadoop

Spark

Apache Kafka

Problem-solving

Communication

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Jupyter Notebook

Notepad++

Job description

Join to apply for the Python Data Engineer role at Jobs via Dice.

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Pyramid Consulting, Inc., is seeking the following. Apply via Dice today!

Immediate need for a talented Python Data Engineer. This is a 12+ months contract opportunity with long-term potential, located in Charlotte, NC (Hybrid). Please review the job description below and contact us ASAP if interested.

Job ID: 25-72215

Pay Range: $60 - $70/hour. Employee benefits include health insurance (medical, dental, vision), 401(k), and paid sick leave (depending on work location).

Key Responsibilities:

• Design, develop, and deploy scalable data pipelines using Python and Hadoop-based tools.
• Write efficient and maintainable Python code using libraries like pandas, NumPy, and PySpark.
• Work with Spark to process large-scale datasets.
• Develop and optimize SQL queries across large datasets using Hive and Impala.
• Collaborate with cross-functional teams to understand business requirements and deliver solutions.
• Participate in code reviews, testing, and debugging.
• Ensure performance, quality, and responsiveness of applications.

Key Requirements and Technology Experience:

• Proficiency in Python, pandas, NumPy, Hadoop ecosystem (Hive, Impala, PySpark, Spark).
• Strong hands-on experience with Python libraries: pandas, NumPy, PySpark, Spark.
• Solid understanding of the Hadoop ecosystem.
• Proficiency with Hive, Impala, and writing complex SQL queries.
• Experience using Jupyter Notebook, Notepad++, or similar tools for development and documentation.
• Exposure to Apache Kafka for real-time data processing.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5+ years of experience in software development or data engineering roles.
• Strong problem-solving and communication skills.

Our client is a leading Banking and Financial Industry, and we are currently interviewing to fill this and similar contract positions. If interested, please apply online for immediate consideration.

Pyramid Consulting, Inc. provides equal employment opportunities and prohibits discrimination and harassment of any type.

By applying, you agree to receive calls, texts, or emails from Pyramid Consulting, Inc. and its affiliates, with message/data rates applying. Reply STOP to cancel, HELP for assistance. Access our privacy policy here.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Software Development