Middle Data Engineer

GR8 Tech

full-time

Posted on: 1/5/2026

Location Type: Remote

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About the role

Working with large datasets (100+ TB) with updates at least hourly;
Developing and supporting ETL/ELT processes across multiple data sources;
Building and maintaining data warehouses and data marts on AWS (S3, Athena, Redshift), GCP (Cloud Storage, BigQuery), and PostgreSQL;
Designing and implementing RESTful APIs (Aiohttp, Flask, FastAPI) for internal and external data consumption;
Collecting and processing data from Kafka, Google Analytics, Firebase, Appsflyer, Cloudflare, and other third-party applications;
Designing and maintaining a centralized data catalog with well-validated and documented data models;
Automating data quality and integrity tests to ensure high data reliability;
Developing and integrating semantic layers to standardize data access across teams;
Creating and maintaining comprehensive project documentation;
Collaborating with cross-functional teams to understand business requirements and translate them into scalable data solutions;
Driving continuous improvement in data engineering processes, tools, and best practices;
Monitoring data pipelines, resolving incidents, and optimizing performance.

Minimum of 2+ years of experience in Python / Data Engineering;
Hands-on experience with ETL, Data Warehousing, and relational databases (PostgreSQL, Microsoft SQL Server, etc.);
Experience with job scheduling and task queues;
Familiarity with cloud providers: AWS (S3, Athena, Redshift), GCP (Cloud Storage, BigQuery), or similar;
Proficiency in Linux and containerization (Docker);
Experience with BDD, TDD, or unit testing frameworks;
Extensive knowledge of software design best practices and design patterns;
Solid Computer Science fundamentals and database theory (types, pros/cons);
Experience in performance tuning of ETL jobs, SQL queries, partitioning, and indexing;
Hands-on experience with version control systems (git) and CI/CD pipelines;
Familiarity with web/mobile application data sources is a plus;
Knowledge or experience with Kubernetes, Apache Airflow, DBT, NoSQL databases (MongoDB, Elasticsearch, Redis), Kafka ecosystem, IaC tools (Terraform, Ansible), Salesforce platforms, and Graph databases (Neo4j, AgensGraph) is a plus;
Experience in near real-time data processing and data visualization tools (Tableau, PowerBI, Metabase, Grafana, Kibana, Apache Superset) is a plus;
Strong problem-solving, analytical, and data-driven decision-making skills;
Excellent communication skills, with the ability to collaborate across technical and non-technical teams;
Intermediate English or higher.

Benefits

An annual fixed budget that you can use based on your needs and lifestyle. You decide how to allocate it:
Sports – gym, yoga, or any activity to keep you active;
Medical – insurance and wellness services;
Mental health– therapy or coaching support;
Home office – ergonomic furniture, gadgets, and tools;
Languages – courses to improve or learn new skills.
Parental support with paid maternity/paternity leave and monthly childcare allowance;
20+ vacation days, unlimited sick leave, and emergency time off;
Remote-first setup with full tech support and coworking compensation;
Regular team events – online, offline, and offsite;
Learning culture with internal courses, career development programs, and real growth opportunities.

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonETLData WarehousingPostgreSQLAWSGCPLinuxDockerSQLData Engineering

problem-solvinganalytical skillsdata-driven decision-makingcommunication skillscollaboration