Junior Data Engineer

Talantir; United States; On-site; USD 65,000 - 85,000; Full time

Job summary

Talantir is seeking a motivated Junior Data Engineer to help design, build, and maintain scalable data pipelines and infrastructure. This entry-level role offers hands-on experience with data processing, ETL workflows, and collaboration with data teams to support business analytics.

You will work with SQL, Python, and cloud platforms to collect, clean, and transform data from diverse sources, ensuring data quality and availability for analytics and decision-making.

Qualifications

• Bachelor's degree in a computing-related field or equivalent

Responsibilities

• Assist in designing, building, and maintaining data pipelines for ETL/ELT processes using Python, SQL, and cloud platforms.
• Collect, clean, and transform data from databases, APIs, and files in JSON/CSV/XML formats to ensure quality and usability.
• Support database management, optimization, and basic troubleshooting to enable efficient data storage and retrieval.
• Perform data quality checks, validation, and monitoring to identify and resolve issues in pipelines.
• Document processes, pipelines, and code for team collaboration and knowledge sharing.
• Collaborate with data analysts, scientists, and stakeholders to understand data needs and contribute to projects.

Skills

SQL

Python

Git

Data formats

Education

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

Tools

Spark

Hadoop

AWS

GCP

Job description

Overview

We are looking for a motivated Junior Data Engineer to assist in building and maintaining scalable data pipelines and infrastructure. This entry-level role offers hands‑on experience with data processing, ETL workflows, and collaboration with data teams to support business analytics.

Key Responsibilities

• Assist in designing, building, and maintaining data pipelines for ETL/ELT processes using tools like Python, SQL, and cloud platforms.
• Collect, clean, and transform data from various sources (e.g., databases, APIs, files in JSON/CSV/XML formats) to ensure quality and usability.
• Support database management, optimization, and basic troubleshooting to enable efficient data storage and retrieval.
• Perform data quality checks, validation, and monitoring to identify and resolve issues in pipelines.
• Document processes, pipelines, and code for team collaboration and knowledge sharing.
• Collaborate with data analysts, scientists, and stakeholders to understand data needs and contribute to projects.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Proficiency in SQL, Python (or Java), and basic data tools; familiarity with ETL processes and databases.
• 0-2 years of relevant experience or internships; strong problem-solving and analytical skills.
• Experience with version control (e.g., Git) and data formats is a plus.

Preferred Attributes

• Knowledge of big data tools (e.g., Spark, Hadoop) or cloud platforms (e.g., AWS, GCP).
• Attention to detail, eagerness to learn, and collaborative team mindset.

What You'll Gain

• Mentorship in modern data engineering practices and real-world projects.
• Opportunities to grow into senior roles while contributing to data-driven decisions.