Python Developer

RetailData LLC; Glen Allen (VA); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, vision

401k + match

Hybrid onsite Tue/Wed/Thu

Diverse, international environment

Job summary

RetailData LLC is seeking a Python Developer to join our data-focused team, emphasizing Data Analysis, Data Science, Data Engineering, and Data Visualization projects. Strong Python skills and a passion for data are essential.

You will analyze large datasets with Pandas/PySpark, develop reports with SSRS and PowerBI, build ETL pipelines, apply AI/ML techniques, and collaborate with stakeholders to deliver actionable insights.

Qualifications

• Proficiency in Python with Pandas/PySpark.
• Experience with SSRS and PowerBI for reporting/visualization.
• Understanding of data engineering concepts and ETL processes.
• Exposure to AI/ML concepts and techniques.
• Willingness to learn Databricks and scalable data tasks.

Responsibilities

• Analyze and process large datasets using Python (Pandas, PySpark).
• Develop, maintain, and optimize reports and dashboards using SSRS and PowerBI.
• Build and maintain data pipelines and ETL workflows.
• Apply AI/ML techniques to extract insights and build predictive models.
• Collaborate with stakeholders to understand data requirements and deliver actionable insights.
• Work with Databricks for scalable data engineering tasks.
• Visualize data and communicate findings effectively.

Skills

Python

Pandas

PySpark

Databricks

SSRS

PowerBI

ETL

Data Visualization

AI/ML (basics)

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Job description

About the Role:

RDSolutions is seeking a resourceful Python Developer to join the team, focusing on Data Analysis, Data Science, Data Engineering, and Data Visualization projects. The ideal candidate will have hands-on experience with Python and a passion for working with data. Experience with Databricks is preferred, but motivated college graduates with strong Python skills are welcome to apply.

What You'll Do:

• Analyze and process large datasets using Python (Pandas, PySpark).
• Develop, maintain, and optimize reports and dashboards using SSRS and PowerBI.
• Build and maintain data pipelines and ETL workflows.
• Apply AI/ML techniques to extract insights and build predictive models.
• Collaborate with stakeholders to understand data requirements and deliver actionable insights.
• Work with Databricks for scalable data engineering tasks.
• Visualize data and communicate findings effectively.

What You'll Need:

• Proficiency in Python, especially with Pandas and PySpark.
• Experience with SSRS and PowerBI for reporting and visualization.
• Understanding of data engineering concepts and ETL processes.
• Exposure to AI/ML concepts and techniques.
• Knowledge of Databricks or willingness to learn.
• Strong analytical and problem-solving skills.
• Excellent planning, organizational, communication, and time management skills.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (recent graduates welcome).

Benefits:

• A competitive base salary plus annual bonus eligibility.
• Comprehensive benefits package including medical, dental, vision, 401k + match.
• An international and diverse work environment.
• Opportunity to work on ahybrid schedule - Tue/Wed/Thu onsite in our corporate headquarters office.
• Opportunity to begin making immediate contributions to the organization.