Senior Data Engineer

About the Position

We are looking for a Senior Data Engineer to join a project in the tech capital of the world – Silicon Valley.

Responsibilities

• Design, implement, and maintain scalable and reliable data pipelines using Python, dbt, and AWS Lambda;
• Build and optimize data architectures to support analytics, reporting, and machine learning use cases, including data warehouse and data mart modeling on PostgreSQL (Aurora Serverless);
• Develop and manage ELT workflows that extract data from MongoDB (using Atlas triggers) and load into staging and production layers in PostgreSQL;
• Ensure data consistency and lineage by applying robust data quality checks, auditing, and reconciliation logic;
• Collaborate with cross-functional teams to gather data requirements, understand business logic, and translate them into efficient data models and transformations;
• Monitor and troubleshoot SQS/Lambda-based ingestion pipelines, addressing issues related to concurrency, message processing, and data duplication;
• Contribute to the semantic layer design used by BI and reporting tools to ensure consistency and accessibility of business metrics;
• Maintain and evolve dbt models (staging, intermediate, and marts) aligned with software engineering and analytics best practices;
• Drive continuous improvement in data engineering processes and data governance standards, ensuring scalability, maintainability, and security.

Requirements

• 4+ years of experience in Data Engineering or related roles;
• Strong SQL skills and hands-on experience with PostgreSQL (including Aurora Serverless);
• Solid knowledge of Python for data processing and automation;
• Experience building and maintaining ETL/ELT pipelines using cloud-native tools (e.g., AWS Lambda, S3, SQS);
• Proven experience working with MongoDB and MongoDB Atlas, including event-driven architectures using Atlas Triggers, Stream Processing;
• Proficiency with dbt for building modular, testable, and well-documented data transformation workflows;
• Good understanding of data modeling principles for OLAP/OLTP systems, including normalization and dimensional modeling;
• Demonstrated experience designing and implementing data warehouses and data marts;
• Working knowledge of Node.js, particularly in backend logic tied to data ingestion or transformation workflows;
• Familiarity with cloud data platforms (e.g., AWS) and serverless computing patterns;
• A technical degree (e.g., Computer Science, Engineering, Math) is a plus;
• Upper-Intermediate English or higher for effective communication and documentation.

Soft Skills

• Proactive – you take ownership and act without waiting for direction;
• Detail-oriented – you deliver accurate, high-quality work;
• Initiative-driven – you’re eager to improve processes and take action.

Locations

• Delaware, United States
• Madrid, Spain
• Brussels, Belgium
• Tallinn, Estonia
• Lisbon, Portugal

We Offer

Work vibe

• Flexible full-time/part-time hours
• No micromanagement-time logging is for accounting only
• High-quality equipment (MacBook or your own device)
• Dynamic, low-bureaucracy environment
• Team events, swag, and a great crew to hang with

Holidays and leaves

• 20 days of paid annual vacation;
• 15 days of paid sick leaves;
• Possibility to use vacation during probation;
• Maternity and paternity leave;
• Days off on all government holidays.

Education

• $100 annual education allowance
• Mentorship program-learn or lead
• English lessons with biannual reviews
• Certification cost reimbursement
• Free access to Udemy courses on request

Perks

• Social package: medical insurance, sports compensation, or psychological training
• IT Club Loyalty card (Lviv IT Cluster)
• No overtime-work-life balance matters
• Transparent payments in EUR/USD, on time every month
• Assistance with military reservation procedure

Industries

• Healthcare
• Fintech
• Telemedicine

Services

• Dedicated Teams
• Custom Software Development
• Product Discovery
• UI/UX Design
• DevOps
• Cloud Development
• Data Engineering
• ETL Development
• Generative AI Development
• Project Health Audit
• Legacy Audit

Technologies

• Front-end
• Angular
• React
• Back-end
• Ruby & Ruby on Rails
• Node.js
• Python

Contact

Nataliya Bahan

Head of Recruitment

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