Analytics Engineer | Mid | Infrastructure DA team

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Analytics Engineer | Mid | Infrastructure DA team Poland The world's most advanced VPN, and a whole lot more. If you're a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet-tools that put privacy, security, and control back in people's hands. Your impact? Helping millions take back control of their online security, privacy, and data. Main Responsibilities - Acquire data from various data sources (APIs, relational and non-relational databases, queues …) by developing scripts, workflows, and ETL pipelines - Support ETL processes and data transformations to address stakeholder requests - Maintain existing data models' integrity and structure on the data warehouse - Use GitLab for version control, managing branches, creating merge requests, and conducting peer code reviews - Monitor and analyze pipeline performance and data accuracy - Participate in code reviews and writing unit tests to ensure high-quality solutions - Ensure all pipelines and processes comply with internal guidelines and requirements - Closely work with data analytics team to help them automate repetitive tasks, improve efficiency and consistency, also create ad-hoc datasets - Discover opportunities for data acquisition, diagnostics, mapping, and correction - Recommend and validate different ways to improve data reliability, efficiency, and quality - Collaborate closely with cross-functional teams to ensure accurate understanding of data and business processes Core Requirements - Advanced proficiency in Python, experience with PySpark - Basic knowledge of interacting with APIs (API requests) - Familiarity with MinIO or similar

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