Junior Big Data Engineer

Drivenintelligence; United States; Hybrid; USD 70,000 - 100,000; Full time

Job summary

Drivenintelligence is seeking a Junior Big Data Engineer to help build and maintain modern data pipelines and analytics-ready datasets for AI-enabled business systems. You will work closely with senior engineers to learn practical data engineering skills and apply them to real-world use cases in a remote/hybrid US setting.

This early-career role focuses on Python/SQL, batch and streaming pipelines, data quality checks, and documentation to ensure reliable data flows for analytics, automation,

Qualifications

• Hands-on experience with Python and SQL through coursework, projects, internships, or professional work.
• Familiarity with ETL/ELT concepts, data modeling basics, and cloud data platforms.
• Interest in big data tools such as Spark, PySpark, Databricks, Snowflake, BigQuery, or similar platforms.
• Comfort learning new systems quickly and asking clear questions when requirements are ambiguous.
• Strong attention to detail and a bias toward clean, maintainable work.

Responsibilities

• Build and maintain batch and streaming data pipelines using Python, SQL, and cloud data tools.
• Support data ingestion, transformation, validation, and quality checks across structured and semi-structured sources.
• Work with senior engineers to design analytics-ready datasets, feature pipelines, and reporting layers.
• Document data flows, assumptions, and operational handoffs so client teams can maintain what we build.
• Troubleshoot pipeline failures, data quality issues, and performance bottlenecks.

Skills

Python

SQL

ETL/ELT concepts

Cloud data platforms

Big data tools (Spark, PySpark, Databr

Learning new systems

Detail-oriented, clean code

Tools

Airflow

Dagster

Prefect

dbt

Job description

Support the design, development, and maintenance of modern data pipelines, transformations, and analytics‑ready datasets for AI‑enabled business systems.

Remote / Hybrid United States Junior

Role Overview

This role is for an early‑career engineer who wants to grow in modern data engineering while working close to practical AI use cases. You will help build reliable pipelines, organize messy operational data, and prepare datasets that make analytics, automation, and AI agents useful inside real businesses.

What You Will Do

• - Build and maintain batch and streaming data pipelines using Python, SQL, and cloud data tools.
• - Support data ingestion, transformation, validation, and quality checks across structured and semi‑structured sources.
• - Work with senior engineers to design analytics‑ready datasets, feature pipelines, and reporting layers.
• - Document data flows, assumptions, and operational handoffs so client teams can maintain what we build.
• - Troubleshoot pipeline failures, data quality issues, and performance bottlenecks.

What We Are Looking For

• - Hands‑on experience with Python and SQL through coursework, projects, internships, or professional work.
• - Familiarity with ETL/ELT concepts, data modeling basics, and cloud data platforms.
• - Interest in big data tools such as Spark, PySpark, Databricks, Snowflake, BigQuery, or similar platforms.
• - Comfort learning new systems quickly and asking clear questions when requirements are ambiguous.
• - Strong attention to detail and a bias toward clean, maintainable work.

Nice To Have

• - Exposure to orchestration tools such as Airflow, Dagster, Prefect, or dbt.
• - Experience supporting AI, machine learning, or analytics projects.
• - Basic understanding of APIs, file formats, and data governance practices.

Role Snapshot

Level Junior

Category Data Engineering

Location United States

Work Style Remote / Hybrid

Position Junior Big Data Engineer