Senior Data Engineer

Posted 4 Hours Ago
Washington, DC, USA
In-Office
Senior level
Artificial Intelligence • Information Technology • Sales • Software
The Role
Build, operate, and modernize a cloud-native enterprise data platform powering SaaS AI products. Responsibilities include data ingestion, storage, querying, quality, governance, and operational excellence, collaborating with engineers to deliver scalable, maintainable solutions and refactor legacy systems.
Summary Generated by Built In

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.

Skills Required

  • At least 5+ years experience building cloud-native data solutions
  • Experience with Apache Airflow
  • Experience with Azure Data Factory
  • Experience with Google Cloud Storage
  • Experience with Azure Blob Storage
  • Experience with Postgres
  • Experience with Microsoft SQL Server
  • Experience with BigQuery
  • Experience with Microsoft Fabric
  • Significant programming experience in Python
  • Solid understanding of SQL
  • Experience refactoring and upgrading in-place data systems to modern standards
  • Advocate of software development best practices and operational excellence
  • Strong communication skills translating technical and business concerns
  • Experience planning and executing multi-month work modules; strong time management
  • Degree in a STEM discipline or equivalent practical work experience
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The Company
HQ: Washington, District of Columbia
26 Employees
Year Founded: 2019

What We Do

Actifai is broadband’s original AI-powered sales platform, helping providers grow since 2019. From small rural ISPs to multi-state operators, Actifai is the only AI solution explicitly built for broadband sales, driving measurable lifts in take rate, ARPU, and retention. Whether for website ecommerce, CSR-led calls, or door-to-door, our AI software helps ISPs maximize customer acquisition while transforming their subscribers' experience. For years, only the largest ISPs could meaningfully use AI—we changed that. We brought together the first and only anonymized dataset collected from millions of sales across the broadband industry and made it the foundation of our modern sales software. Now, regardless of subscriber base or network footprint, every provider can leverage cutting-edge AI to make their sales and customer experiences the strongest on the market. How we do it >>> 1. Data Discovery - In real-time, Actifai gathers customer background info, like home value, family size, and average neighborhood speeds, to illuminate customer needs, interests, and purchase capacity. 2. Machine Learning - Proprietary ML models analyze each new, unique customer interaction vs millions of previous Actifai-powered sales, helping to predict what each customer is most likely to buy. 3. AI Offer Recommendations - Considering all packages, up-sells, and cross-sells, AI identifies which of an ISP’s offers best suits every individual customer while also optimizing for sales conversion, ARPU, & retention. 4. Dynamic Sales Personalization - Adaptive, personalized selling statements highlight the value of an offer, contrast against competitors, and emphasize alignment with a customer’s interests — providing the rationale that motivates buying & wins new subscribers, profitably. A snapshot of ISPs' results >>> - 22x average ROI - 10-30% sales conversion improvement - 6-11% retention lift - 5-26% ARPU boost - 2x add-on sale attach rates

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