Remote Data Engineer (Research) - Platform & Pipelines

United States Digital Space LLC; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Training budget

Birthday off

Parental leave day

Equipment provided

Private medical care

English learning platform

Wellbeing platform

Remote work option

Job summary

United States Digital Space LLC is seeking a Data Engineer to join our Core Data Platform team. You will design and build scalable data pipelines, integrate multiple data sources, and contribute to architectural standards across the data platform.

You will work with Python, SQL, and Spark/PySpark, develop CI/CD for data solutions, and ensure data quality and reliability in a global fintech context.

Qualifications

• 3+ years as a Data Engineer or similar software role.
• Proficiency in Python and producing clean, testable production code.
• Hands-on Apache Spark experience.
• Advanced SQL and large data set optimization.
• Knowledge of data warehouse design and data modeling.
• Experience with ETL/ELT and data quality and monitoring.

Responsibilities

• Design, build, and maintain scalable data pipelines using SQL, Python, Spark/PySpark.
• Integrate raw data into the data platform from multiple sources.
• Develop CI/CD pipelines for data solutions.
• Create and maintain Infrastructure as Code.
• Integrate the data platform with other systems and apps.
• Participate in architectural decisions and set engineering standards.
• Conduct code reviews and share knowledge within the team.

Skills

Python

SQL

Apache Spark

ETL/ELT

Data modeling

CI/CD

Airflow

Dagster

REST/gRPC

Problem solving

Tools

dbt

Kafka

Databricks

Job description

United States Digital Space LLC is seeking a Data Engineer to join our Core Data Platform team. You will design and build scalable data pipelines, integrate multiple data sources, and contribute to architectural standards across the data platform.

You will work with Python, SQL, and Spark/PySpark, develop CI/CD for data solutions, and ensure data quality and reliability in a global fintech context.