Data Engineer

justmarkets; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Remote work opportunities

20 paid vacation days per year

10 paid sick leave days per year

Public holidays as per company list

Medical insurance

Professional education budget

Language learning budget

Wellness budget

Job summary

Justmarkets is seeking an experienced Data Engineer to design and maintain robust data infrastructure across our systems. You will build scalable data pipelines, ensure data integrity, and integrate third-party data sources to enable analytics across the organization.

You will collaborate with cross-functional teams to turn raw data into actionable insights, develop data architecture, implement best practices, and contribute to data-driven decision making in a fully remote environment.

Qualifications

• 3+ years of commercial data engineering experience.
• Experience gathering business requirements and communicating with stakeholders.
• Strong knowledge of Data Warehouse architecture and principles.
• Hands-on experience designing data warehouses and ETL pipelines.
• Proficiency in SQL and relational databases (PostgreSQL, MySQL).
• Hands-on experience with columnar databases (ClickHouse, Snowflake, Cassandra, BigQuery).
• Intermediate English proficiency.

Responsibilities

• Communicate with technical and non-technical stakeholders to gather and clarify business requirements.
• Review and analyze data and business logic to ensure consistency, accuracy, and reliability.
• Design, implement, and maintain data pipelines for efficient and scalable data processing.
• Integrate, maintain, and support data solutions and third-party data sources.
• Research and evaluate third-party tools, services, and components for potential use.
• Follow engineering best practices, including code reviews, testing, refactoring, and continuous delivery.
• Design, optimize, and maintain data storage solutions.

Skills

Python

SQL

Data Warehousing

ETL pipelines

PySpark / Spark

Pandas

Data modeling

English communication

Tools

PostgreSQL

MySQL

ClickHouse

Snowflake

Cassandra

BigQuery

Job description

We are looking for an experienced Data Engineer to design and maintain robust data infrastructure across our systems. In this role, you will be responsible for building scalable data pipelines, ensuring data integrity, and integrating third-party data sources. Your primary focus will be to enable efficient data flow and support analytical capabilities across the organization. You will also contribute to the development of our data architecture, implement best engineering practices, and collaborate closely with cross-functional teams to turn raw data into actionable insights.

Responsibilities

• Communicate with technical and non-technical stakeholders to gather and clarify business requirements
• Review and analyze data and business logic to ensure consistency, accuracy, and reliability
• Design, implement, and maintain data pipelines for efficient and scalable data processing
• Integrate, maintain, and support data solutions and third-party data sources
• Research and evaluate third-party tools, services, and components for potential use
• Follow engineering best practices, including code reviews, testing, refactoring, and continuous delivery
• Design, optimize, and maintain data storage solutions

Requirements

• 3+ years of commercial experience in Data Engineering
• Experience gathering business requirements and communicating with stakeholders
• Strong knowledge of Data Warehouse (DWH) architecture and principles
• Hands-on experience designing data warehouses and building ETL pipelines
• Deep practical experience with Python
• Hands-on experience in one or more of the following areas: data processing using PySpark, Apache Spark, Pandas, or similar frameworks; data scraping; integration of third-party data sources and APIs
• Proficiency in SQL and relational databases such as PostgreSQL and MySQL
• Hands-on experience with column-oriented databases such ClickHouse, Snowflake, Cassandra, BigQuery (many tables with millions of records and above each)
• Solid understanding of software design patterns, algorithms, and data structures
• Intermediate English proficiency

Will be a plus

• Experience with messaging platforms such as RabbitMQ or Kafka
• Familiarity with DataOps practices and data pipeline automation
• Familiarity with CI/CD pipelines and Kubernetes environments
• Background in FinTech or Trading domains

We offer

• Tax expenses coverage for private entrepreneurs in Ukraine
• Expert support and guidance for Ukrainian private entrepreneurs
• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company's approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)