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# Data Engineer

- **Company:** REMOTE JOBS LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Training Data, A/B Testing, Artificial Intelligence, Airflow, Business Analytics Applications, Data Analysis, Automation of Tests, BigQuery, Software as a Service, Cloud Computing, Code Review, Continuous Integration, Customer Data Management, Data Architecture, Information Engineering, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Python (Programming Language), Query Optimization, Power BI, Salesforce.Com, SQL Databases, Tableau (Software), Workflow Management Systems, Data Processing, Snowflake, Git, Data Layers, Data Analytics, Tools for Reporting, Hubspot, Code Restructuring, Looker Analytics, Data Pipelines, Databricks
- **Published:** November 13, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28179644/Data-Engineer-Any-All-Cities-9382

## About the Role

3+ years of commercial experience in Data Engineering or Analytics Engineering.
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Strong hands-on experience with GCP (BigQuery) and Snowflake.
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Advanced proficiency in Python and SQL, including complex data transformations, data processing, and query optimization.
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Strong practical experience with dbt, including developing, testing, and optimizing data models.
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Solid understanding of data warehousing, data modelling, ETL/ELT processes, and data architecture best practices.
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Hands-on experience with BI and reporting tools, such as Looker, LookML, Omni, Power BI, or Tableau.
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Experience with workflow orchestration tools, such as Apache Airflow or equivalent solutions.
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Experience with Git, CI/CD pipelines, code reviews, and automated testing.
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Good understanding of data quality, monitoring, and data governance practices.
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Strong analytical and problem-solving skills, with the ability to work independently and collaborate with business stakeholders.
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Excellent English communication skills (C1 minimum).

Nice to have:
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Knowledge of CRM systems, such as HubSpot or Salesforce.
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Experience with semantic layers, BI migrations, or data warehouse refactoring.
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Background in fintech, SaaS, or commercial analytics.
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Familiarity with A/B testing, product analytics, or AI-ready data solutions.

## Description

We are looking for an experienced Data Engineer with strong skills in GCP, Snowflake, dbt, Python, SQL, and Data Analytics to join our team. You will work on international data engineering and analytics projects, focusing on building scalable data solutions, modernizing data warehouses, and supporting data-driven business decisions.

Project areas include:
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Data Warehouse & BI Modernization - refactoring data models and supporting migrations between BI platforms (e.g., Looker to Omni).
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CRM Data Integration - developing and optimizing data models to support CRM migrations and integrations (e.g., HubSpot).
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Commercial & Growth Analytics - building analytical solutions for customer acquisition, retention, churn, revenue, and business performance.
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Data Quality & Self-Service Analytics - improving data reliability, implementing semantic layers, and enabling accessible analytics and AI-ready datasets.

Your main responsibilities:
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Design, develop, and optimize data pipelines and data models using modern cloud technologies.
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Build and maintain dbt models and complex data transformations using Python and SQL.
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Support data warehouse modernization, BI migrations, and integration of multiple data sources.
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Develop analytical datasets and reporting solutions to support business decisions.
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Ensure data quality, testing, monitoring, and documentation.
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Collaborate with engineering teams, analysts, and business stakeholders to deliver scalable data solutions., Engage with top-tier global enterprises and cutting-edge startups on international projects.
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Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
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Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including partnerships with Databricks and Anthropic, which offer industry-leading training materials and certifications.
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Participate in team-building events and utilize the integration budget.
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Celebrate work anniversaries, birthdays, and milestones.
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Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
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Get full work equipment for optimal productivity, including a laptop and other necessary devices.
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With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
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Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.