Data Engineer (Research)

United States Digital Space LLC; United States; Hybrid; 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

the company is a global company from the financial industry, focusing on online trading of financial instruments. We are the largest FinTech in Poland and a leader in Central and Eastern Europe, and the range of our operations covers several countries, including Asia and South America. At the company, we focus on the development of our employees, giving them opportunities to gain knowledge and skills in various fields, as well as offering a number of training and development programs. If you are looking for challenges and want to gain valuable experience in an international business environment, the company is the right place for you.

We are a certified Great Place to Work company.

We are looking for a Data Engineer to join the Core Data Platform team to co-create and develop a centralized data platform used by teams across the company. In this role, you will be responsible for building scalable data integration mechanisms from various source systems, developing shared platform components and standards, and ensuring high data quality, reliability, and consistency.

Responsibilities

• Designing, building, and maintaining scalable data processing pipelines using SQL, Python, and Apache Spark / PySpark.

• Working with raw data and designing methods for its integration into the data platform.

• Developing CI/CD pipelines for data engineering solutions.

• Creating and maintaining Infrastructure as Code solutions.

• Integrating the data platform with other systems and applications.

• Participating in architectural decision-making and defining engineering standards.

• Conducting code reviews, documenting solutions, and sharing knowledge with team members.

Requirements

• At least 3 years of experience as a Data Engineer or in a related software engineering role.

• Proficiency in Python and the ability to write clean, testable production code.

• Hands-on experience with Apache Spark.
• Advanced SQL skills (query optimization on large datasets).

• Strong understanding of data warehouse design principles and data modeling.

• Practical knowledge of ETL/ELT processes.

• Familiarity with data quality, monitoring, and pipeline reliability.

• Experience working with relational databases, including an understanding of how they work, data modeling, and optimization.

• Understanding of REST and gRPC standards for system integration.

• Experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar).

• Knowledge of CI/CD pipeline building and maintenance principles.

• Strong analytical problem-solving skills and attention to detail.

• Effective communication skills and the ability to collaborate in a team.

• Openness to learning and exploring new technologies and methodologies.

Nice to have

• Experience with dbt.
• Experience with Kafka, Pub/Sub, or other event streaming systems.

• Experience building near-real-time / real-time pipelines.

• Experience working with Infrastructure-as-Code tools.

• Understanding of CDC (Change Data Capture) and data integration from transactional systems.

• Experience with Databricks or other lakehouse platforms.

What we offer

• Real influence on the development of the company and the product.
• Work in an experienced team that is happy to share its knowledge.
• A clear vision of development thanks to regular feedback and clear career paths.
• Regular team-building meetings.

Benefits

• A training budget for courses and conferences that interest you.
• An extra day off on the birthday.
• An extra day off for parents.
• Equipment tailored to your needs.
• Private medical care and group insurance.
• Access to an e-learning platform for learning English and a benefits platform.
• Access to a wellbeing platform and the opportunity to take advantage of workshops and private therapy sessions.
• Remote work, from the office in Warsaw or from a coworking space in your city.