AI-Driven Data Engineer — Build Scalable Data Products

United States Digital Space LLC; Warsaw (IN); Hybrid; USD 63,000 - 91,000; Full time

Benefits offered by this job

Health insurance with dental

Lunch catering

Career growth budget

Home office setup budget

Gym/Fitness reimbursement

Fertility healthcare support

Mental health support

Group life insurance

MacBooks with accessories

Job summary

United States Digital Space LLC is seeking a Data Engineer to design and scale data products in a Warsaw-based, office-centric hybrid setting. You will work with business stakeholders and the Data Infrastructure team to deliver data-driven insights and tooling across marketing and analytics domains.

The role requires 3+ years in data or software engineering, a CS/Engineering degree, and proficiency with Databricks, Spark, Airflow, SQL and at least one of Python/Scala/Java.

Qualifications

• 3+ years of hands-on data engineering or software engineering experience.
• Degree in computer science, engineering or equivalent technical field.
• Proficient in cloud-based data processing and storage technologies like Databricks, Spark, Airflow.
• Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java).
• Strong communication and ability to work with stakeholders.

Responsibilities

• Design, implement and scale end-to-end data products.
• Influence best practices in Databricks and cloud-based data engineering.
• Leverage AI to build self-serve tools and accelerate workflows.
• Establish trust and relationships across business and technical teams.

Skills

SQL

Python

Scala

Java

Data Pipelines

Education

Bachelor's or higher in CS/Engineering

Tools

Databricks

Spark

Airflow

Job description

United States Digital Space LLC is seeking a Data Engineer to design and scale data products in a Warsaw-based, office-centric hybrid setting. You will work with business stakeholders and the Data Infrastructure team to deliver data-driven insights and tooling across marketing and analytics domains.

The role requires 3+ years in data or software engineering, a CS/Engineering degree, and proficiency with Databricks, Spark, Airflow, SQL and at least one of Python/Scala/Java.