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Senior Data Engineer

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Work setup
Remote stated — work setup source
Listed location: Remote
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Employment
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What you’ll work on

Full posting
  • You will work with engineers to build and operate a big data platform that processes and refines data and enables efficient access to those data.

From the employer’s posting
We are a small team and our Senior Data Engineers deliver outsize impact. You will work with engineers to build and operate a big data platform that processes and refines data and enables efficient access to those data. You are expected to be goal-oriented and driven to deliver high-quality, scalable solutions in a collaborative, fast-paced environment.

What you’ll bring

All qualifications

Core experience

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

Tools in this posting

  • Python
  • SQL
  • Azure
  • BigQuery
  • Airflow
  • Google Cloud (GCP)
  • Google Cloud Storage
  • PostgreSQL
  • SQL Server
Source — Tool mentions in context
- Warehouses: BigQuery, Microsoft Fabric - Proven ability in writing clean, scalable code with significant programming experience in Python and solid understanding SQL. - Experience refactoring and upgrading in-place data systems to modern data engineering standards; comfortable working with messy real-world datasets.
- Storage: Google Cloud Storage, Azure Blob Storage - OLTP: Postgres, Microsoft SQL Server - Warehouses: BigQuery, Microsoft Fabric
Successful candidates exhibit many of the following traits: - At least 5+ years experience building cloud-native data solutions, preferably on Google Cloud and/or Azure:- Orchestration: Apache Airflow, Azure Data Factory - Storage: Google Cloud Storage, Azure Blob Storage
- At least 5+ years experience building cloud-native data solutions, preferably on Google Cloud and/or Azure:- Orchestration: Apache Airflow, Azure Data Factory - Storage: Google Cloud Storage, Azure Blob Storage - OLTP: Postgres, Microsoft SQL Server
- OLTP: Postgres, Microsoft SQL Server - Warehouses: BigQuery, Microsoft Fabric - Proven ability in writing clean, scalable code with significant programming experience in Python and solid understanding SQL.

Job description

View original posting ↗

Actifai is seeking experienced Senior Data Engineers.

The Company

Actifai is an AI company helping broadband and telecom providers optimize high-value decisions through SaaS applications. Our platform supports real-world decision-making and business processes across acquisition, retention, pricing, and upselling by combining machine learning, experimentation, reinforcement learning, and emerging agentic orchestration.

The Position

The Actifai Data Engineering team needs great engineers to architect and build the next-generation cloud enterprise data platform. Our team owns the data powering our SaaS application and data products. Our responsibility covers the whole data lifecycle including ingestion, storage, querying, data quality, operations, and governance.

We are modernizing our data ecosystem into an enterprise-grade platform, creating the foundation for our next-generation AI applications. We are looking for strong engineers who love taking ownership and solving complex technical problems.

Successful candidates exhibit many of the following traits:

  • At least 5+ years experience building cloud-native data solutions, preferably on Google Cloud and/or Azure:
    • Orchestration: Apache Airflow, Azure Data Factory
    • Storage: Google Cloud Storage, Azure Blob Storage
    • OLTP: Postgres, Microsoft SQL Server
    • Warehouses: BigQuery, Microsoft Fabric
  • Proven ability in writing clean, scalable code with significant programming experience in Python and solid understanding SQL.
  • Experience refactoring and upgrading in-place data systems to modern data engineering standards; comfortable working with messy real-world datasets.
  • An advocate of software development best practices that focuses on engineering and operational excellence.
  • Can effectively communicate software engineering issues to business professionals, and business issues to software engineers.
  • Exceptional time management and organization skills and can incrementally deliver against tight schedules. Experience planning and executing work modules that span several months.
  • An eye for detail in both data and design.

Description

We are a small team and our Senior Data Engineers deliver outsize impact.

  • You will work with engineers to build and operate a big data platform that processes and refines data and enables efficient access to those data.
  • You are expected to be goal-oriented and driven to deliver high-quality, scalable solutions in a collaborative, fast-paced environment.
  • You are expected to work with other senior engineers and to collaborate with them professionally.

Education and Experience

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

Benefits and Culture

Actifai offers an extremely competitive compensation package, including bonuses and/or equity grants, employer-covered health/vision/dental insurance (with an optional FSA) and 401k matching. Employees receive a generous PTO allowance, and can work both remotely and from our office in downtown Washington, D.C. Successful candidates will join a small team of ambitious, supportive co-workers with ample opportunities to take on responsibilities beyond their assigned role.

For additional information on benefits and what it's like to work at Actifai, please visit actif.ai/careers.

Excellence has no single mold, particularly in a field as rapidly evolving as AI. We're looking for excellent candidates of all backgrounds with strong business intuition and coding skills, and welcome applicants regardless of ethnic/national origin, gender, race, religious beliefs, disability, sexual orientation or age.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on actifai.applytojob.com. The employer’s form will show what is required.

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Source & posting history

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Pay

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Location & working pattern

Remote

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Work authorization

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Status in our records
Active
First seen by us
Aug 10, 2026
Recorded sightings
13
Last seen by us
Oct 1, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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