Senior Data Engineer

Job not on LinkedIn

🕒 August 11

☕ Washington – Remote

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⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 27%

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Airflow

Apache

Azure

BigQuery

Cloud

MS SQL Server

Postgres

Python

SQL

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Logo of Actifai

Actifai

11 - 50 employees

Founded 2019

🔌 API

🤖 Artificial Intelligence

🤝 B2B

API • Artificial Intelligence • B2B

Actifai is broadband’s original AI-powered sales platform, dedicated to helping Internet Service Providers (ISPs) enhance their revenue and subscriber bases through personalization and customer understanding. Their technology utilizes machine learning and artificial intelligence to optimize sales offers tailored to individual customer needs, leading to improved customer satisfaction and retention. With a strong focus on understanding customer behavior and preferences, Actifai supports ISPs in navigating the increasingly competitive broadband market.

📋 Description

• Architect and build the next-generation cloud enterprise data platform • Own the data powering Actifai's SaaS application and data products • Manage the whole data lifecycle, including ingestion, storage, querying, data quality, operations, and governance • Modernize the data ecosystem into an enterprise-grade platform • Create the foundation for next-generation AI applications • Build and operate a big data platform that processes and refines data and enables efficient data access • Deliver high-quality, scalable solutions in a collaborative, fast-paced environment • Work with and collaborate professionally with other engineers, including senior engineers

🎯 Requirements

• At least 5+ years of experience building cloud-native data solutions • Preferably experience with Google Cloud and/or Azure • Experience with Apache Airflow and/or Azure Data Factory • Experience with Google Cloud Storage and/or Azure Blob Storage • Experience with Postgres and/or Microsoft SQL Server • Experience with BigQuery and/or Microsoft Fabric • Significant programming experience in Python • Solid understanding of SQL • Proven ability to write clean, scalable code • Experience refactoring and upgrading in-place data systems to modern data engineering standards • Comfortable working with messy real-world datasets • Advocate of software development best practices focused on engineering and operational excellence • Ability to communicate software engineering issues to business professionals and business issues to software engineers • Exceptional time management and organization skills • Ability to incrementally deliver against tight schedules • Experience planning and executing work modules spanning several months • Strong attention to detail in data and design • Degree in a STEM discipline or equivalent practical work experience

🏖️ Benefits

• Bonuses and/or equity grants • Employer-covered health, vision, and dental insurance • Optional FSA • 401k matching • Generous PTO allowance • Ability to work remotely or from the office in downtown Washington, D.C. • Opportunities to take on responsibilities beyond the assigned role

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