Data Engineer

re-zoo-me; Nevada (IA); Hybrid; USD 70,000 - 95,000; Full time

Job summary

re-zoo-me is seeking an Entry-level Data Engineer to join our data team in the United States. You will develop data pipelines, work with Python and SQL, and contribute to AI-driven initiatives as part of a growing analytics group.

The role requires 1–4 years of experience in data engineering or related fields, strong Python coding, and a willingness to relocate for onsite client projects across the U.S. This is a full-time position with opportunities to grow in cloud and ML tooling.

Qualifications

• 1–4 years of experience in Data Engineering, Data Analytics, Machine Learning, or AI Engineering.
• Strong proficiency in Python programming.
• Good understanding of SQL and relational databases.
• Experience developing end-to-end data solutions.
• Knowledge of data processing, ETL concepts, and data transformation techniques.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.

Responsibilities

• Develop, test, and maintain data engineering and AI solutions using Python.
• Write, optimize, and maintain SQL queries for data extraction, transformation, and analysis.
• Design and support end-to-end data pipelines and workflows.
• Collect, clean, transform, and analyze structured and unstructured data.
• Collaborate with developers, data engineers, analysts, and business stakeholders to understand requirements.
• Support the development of machine learning and AI solutions.
• Automate repetitive data processing tasks using Python.
• Troubleshoot and resolve data pipeline and database-related issues.
• Document technical solutions, workflows, and development processes.
• Stay updated with emerging technologies and industry best practices.

Skills

Python

SQL

Data engineering

Data analytics

Machine learning

Communication

Teamwork

Education

Bachelor's degree in CS, IS, Math, or related field

Master's degree (plus)

Tools

AWS

Azure

Databricks

PySpark

AWS S3

Lambda

EC2

Airflow

GCP

Job description

Job Title: Entry-level Data Engineer

Full-Time

Candidate must be open to relocate.

We are seeking a motivated Data Scientist with a strong interest in data engineering, machine learning, and analytics. The ideal candidate will assist in developing scalable data solutions, building data pipelines, analyzing data, and supporting AI-driven initiatives. This role is ideal for candidates with 1–4 years of experience who are eager to build their careers in data engineering and artificial intelligence.

Key Responsibilities

• Develop, test, and maintain data engineering and AI solutions using Python.
• Write, optimize, and maintain SQL queries for data extraction, transformation, and analysis.
• Design and support end-to-end data pipelines and workflows.
• Collect, clean, transform, and analyze structured and unstructured data.
• Collaborate with developers, data engineers, analysts, and business stakeholders to understand requirements.
• Support the development of machine learning and AI solutions.
• Automate repetitive data processing tasks using Python.
• Troubleshoot and resolve data pipeline and database-related issues.
• Document technical solutions, workflows, and development processes.
• Stay updated with emerging technologies and industry best practices.

Required Skills

• 1–4 years of experience in Data Engineering, Data Analytics, Machine Learning, or AI Engineering.
• Strong proficiency in Python programming.
• Good understanding of SQL and relational databases.
• Experience developing end-to-end data solutions.
• Knowledge of data processing, ETL concepts, and data transformation techniques.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.

Preferred Skills

• Experience with one or more cloud platforms such as AWS, Azure, or Databricks.
• Knowledge of PySpark, AWS S3, Lambda, EC2, Airflow, or GCP.
• Familiarity with Machine Learning, Generative AI, or Computer Vision.
• Understanding of probability and statistical concepts.
• Experience with GitLab or other version control systems.
• Knowledge of R Programming is a plus.

Qualifications

• Bachelor's Degree in Computer Science, Information Systems, Mathematics, or a related quantitative field.
• A relevant Master's degree is a plus.
• Strong written and verbal English communication skills.
• Must be willing to relocate anywhere within the United States for onsite client projects.

Thank you