Data Engineer – Entry Level

Talent Glider; United States; On-site; USD 70,000 - 90,000; Full time

Job summary

A leading data solutions provider in the United States is seeking an Entry Level Data Engineer to build and maintain data pipelines. You will work with SQL for analytics and assist in managing data warehouses. A Master’s degree in relevant fields is required, along with strong skills in SQL and knowledge of cloud platforms like AWS, GCP, or Azure. This full-time position offers an opportunity to grow in a dynamic IT environment.

Qualifications

• Master’s degree (required) in Data Science, Computer Science, Information Systems, or a related field.
• Strong proficiency in SQL (joins, window functions, aggregations).
• Working knowledge of Python for data processing and automation.

Responsibilities

• Build and maintain data pipelines (ETL/ELT) to ingest data from multiple sources.
• Develop and optimize SQL queries for analytics and reporting use cases.
• Assist in managing and scaling data warehouses and data lakes.

Skills

Strong proficiency in SQL

Knowledge of Python

Analytical thinking

Problem-solving skills

Excellent written and verbal communication

Education

Master’s degree in a relevant field

Tools

PostgreSQL

MySQL

SQL Server

Oracle

Git

Job description

Key Responsibilities

• Build and maintain data pipelines (ETL/ELT) to ingest data from multiple sources
• Develop and optimize SQL queries for analytics and reporting use cases
• Assist in managing and scaling data warehouses and data lakes
• Perform data validation, cleansing, and quality monitoring
• Collaborate with Data Analysts, Data Scientists, and Product teams
• Support cloud-based data solutions on AWS, GCP, or Azure
• Document data models, pipelines, and technical workflows
• Troubleshoot and resolve pipeline failures or data discrepancies
• Follow best practices related to data security, governance, and compliance

Required Qualifications

• Master’s degree (required) in Data Science, Computer Science, Information Systems, Engineering, Analytics, or a related field
• Strong proficiency in SQL (joins, window functions, aggregations)
• Working knowledge of Python for data processing and automation
• Understanding of data modeling, ETL concepts, and database design
• Familiarity with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle
• Exposure to at least one cloud platform (AWS, GCP, or Azure)
• Knowledge of Git or other version control systems
• Strong analytical thinking and problem‑solving skills
• Excellent written and verbal communication skills

Seniority level

Entry level

Employment type

Full‑time

Job function

Information Technology

Industries

IT Services and IT Consulting

Austin, TX