Data engineer in iGaming

GR8 Tech group; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-first

Learning culture

Team events

Growth programs

Job summary

GR8 Tech group ищет инженера по данным для проектирования и реализации масштабируемых конвейеров преобразования данных. Ваша работа будет включать создание семантических моделей, оптимизацию ETL/ELT пайплайнов и внедрение REST API для доступа к данным.

Требуется 3+ года в области data engineering и опыт работы с PostgreSQL, ClickHouse, BigQuery или Redshift. Предпочтение отдаётся кандидатам с опытом в Spark/Trino/Flink, Kafka/Kinesis и Terraform. Удалённая работа и международное сотрудничество.

Qualifications

• 3+ года опыта на продакшн-данных инженерии/соединённых системах.
• Стратегическое владение SQL и базами данных; опыт с PostgreSQL и аналитическими warehouses.
• Умение строить конвейеры данных, работать с распределёнными вычислениями (Spark/Trino/Flink).
• Опыт разработки на Python для data-платформ, REST API.
• Знания Linux, CI/CD (GitLab Actions, GitHub Actions) и Docker.
• Плюсом: Terraform и AWS; знания DataHub/OpenMetadata; образование в CS/SE.

Responsibilities

• Проектирование и внедрение масштабируемых слоёв преобразования данных.
• Разработка семантических моделей и стандартов данных.
• Построение и поддержка ETL/ELT пайплайнов (Kafka, Kinesis, внешние API).
• Обеспечение качества данных и мониторинга пайплайнов.
• Оптимизация запросов и производительности; настройка RBAC и TIL.
• Разработка REST API для доступа к данным.
• Автоматизация CI/CD через Docker и Terraform.
• Документация архитектуры и каталогов данных.

Skills

SQL

Python

Data pipelines

Distributed compute

REST APIs

Linux

CI/CD

Education

Degree in Computer Science or equivalent

Tools

PostgreSQL

ClickHouse

BigQuery

Redshift

Spark

Trino

Flink

Kafka/Kinesis

Docker

Terraform

AWS

Job description

Описание

GR8_TECH builds B2B iGaming platforms for operators who play to lead. We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions. With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos. Our ambition drives us. Our people make it real. If you’re a challenger in spirit and a champion in action — join us.

Задачи

Design and implement scalable data transformation layers, organizing raw data into validated, production-grade data marts. Build and optimize semantic layer models, ensuring consistent metrics and definitions across all reporting surfaces. Establish data modeling standards utilizing optimal storage formats (Parquet, ORC, AVRO) and storage engines (PostgreSQL, ClickHouse, Redshift/BigQuery). Ship and maintain end-to-end data ingestion pipelines integrating internal services and third-party event streams (Kafka, Kinesis, external APIs). Automate data quality and integrity testing to catch pipeline breaks and silent schema drifts before they reach downstream consumers. Tune query performance and pipeline bottlenecks, actively managing indexing, data partitioning, and job scheduling. Expose data-centric services by building and managing performant REST APIs using modern frameworks (FastAPI, Flask, or Aiohttp). Enforce granular access control across our data layers via RBAC, row-level security (RLS), and column-level masking. Automate CI/CD workflows and deployments using Docker, GitLab CI, and Terraform across our cloud infrastructure. Partner with product managers, software engineers, and analysts to translate business logic into maintainable technical requirements. Participate in thorough code and architecture reviews, upholding strict testing standards (unit, integration, TDD/BDD). Document system designs and data catalog schemas, making data discoverable and self-serve across the organization.

Требования

3+ years of production experience in Data Engineering, Software Engineering, or related distributed data systems. Proven SQL & Database expertise: Strong hands-on work with relational databases (PostgreSQL) and modern analytical/columnar data warehouses (ClickHouse, BigQuery, or Redshift). Demonstrated pipeline & distributed compute skills: Practical experience orchestrating distributed jobs (Spark, Trino, Flink) and handling event streaming engines (Kafka, RabbitMQ, or Kinesis). Solid software engineering foundations: Proficient in writing clean, modular Python for data applications, pipeline orchestration, and REST APIs. Linux, Container, & CI/CD literacy: Comfortable writing Dockerfiles, configuring CI/CD pipelines (GitLab CI, GitHub Actions), and utilizing Git version control. Data quality discipline: Direct experience implementing automated data testing, schema validation, and pipeline observability. Будет плюсом: Hands-on experience with Infrastructure as Code (Terraform) and AWS cloud services; Practical exposure to metadata management tools (DataHub, OpenMetadata); Understanding of resilience patterns in distributed systems (circuit breakers, rate limiting, connection pooling); Degree in Computer Science, Software Engineering, or equivalent practical experience

Условия

annual budget you allocate to: Sports, Medical, Mental health, Home office, Languages. Paid maternity/paternity leave + monthly childcare allowance. 20+ vacation days, unlimited sick leave, emergency time off. Remote-first + tech support + coworking compensation. Team events (online/offline/offsite). Learning culture with internal courses + growth programs.