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Неделя 310 ₽Месяц 630 ₽3 месяца 1 680 ₽Год 5 680 ₽

Data 357gFx4u nP - 100% Remote — United States

ML и AI, Data Engineering · сегодня, 16:16 · 15.11.2026

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Компания: ••••••••

Локация: United States

Формат: не указан

Занятость: Полная занятость

Грейд: не определён

About the Company

Actifai is an AI company that helps broadband and telecom providers make better business decisions through SaaS applications. Its platform supports customer acquisition, retention, pricing, and upselling by combining machine learning, experimentation, reinforcement learning, and emerging agentic orchestration.

About the Role

Actifai is seeking experienced Senior Data Engineers to help architect and build its next-generation cloud enterprise data platform. The Data Engineering team manages the data that powers the company's SaaS applications and data products, covering the full data lifecycle, including ingestion, storage, querying, data quality, operations, and governance.

The team is modernizing its data ecosystem to create an enterprise-grade foundation for next-generation AI applications. This role is suited to engineers who take ownership, enjoy solving complex technical problems, and can make a significant impact within a small team.

Key Responsibilities

• Work with engineers to build and operate a big data platform that processes and refines data while enabling efficient access.

• Develop high-quality, scalable solutions in a collaborative, fast-paced environment.

• Collaborate professionally with other senior engineers.

• Contribute to the modernization of existing data systems and the development of the next-generation data platform.

Required Qualifications and Experience

• At least 5 years of experience building cloud-native data solutions, preferably using Google Cloud and/or Azure.

• Experience with data orchestration tools such as Apache Airflow and Azure Data Factory.

• Familiarity with storage solutions such as Google Cloud Storage and Azure Blob Storage.

• Experience with OLTP databases such as PostgreSQL and Microsoft SQL Server.

• Experience with data warehouses such as BigQuery and Microsoft Fabric.

• Significant programming experience in Python and a solid understanding of SQL.

• Ability to write clean, scalable code.

• Experience refactoring and upgrading existing data systems to modern data engineering standards.

• Comfort working with complex, real-world datasets.

• Understanding of software development best practices, with a focus on engineering and operational excellence.

• Ability to communicate software engineering issues to business professionals and business requirements to software engineers.

• Strong time management and organizational skills, with the ability to deliver work incrementally against tight schedules.

• Experience planning and executing work modules spanning several months.

• Strong attention to detail in both data and design.

Education

• Degree in a STEM discipline or equivalent practical work experience.

Compensation and Benefits

Actifai offers a compensation package that includes:

• Bonuses and/or equity grants.

• Employer-covered health, vision, and dental insurance.

• Optional Flexible Spending Account (FSA).

• 401(k) matching.

• Generous paid time off (PTO).

Work Arrangement and Culture

Employees can work remotely or from Actifai's office in downtown Washington, D.C. The team is small, ambitious, and supportive, with opportunities to take on responsibilities beyond the assigned role.

Equal Opportunity

Actifai welcomes applicants from all backgrounds and considers candidates regardless of ethnic or national origin, gender, race, religious beliefs, disability, sexual orientation, or age. The company values strong business intuition and coding skills and recognizes that excellence can take many forms, particularly in the rapidly evolving field of AI.

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