[Hiring] Senior Data Engineer @Actif.ai

Role Description

Actifai is seeking experienced Senior Data Engineers to architect and build the next-generation cloud enterprise data platform. Our team owns the data powering our SaaS application and data products, covering the whole data lifecycle including:

• Ingestion
• Storage
• Querying
• Data quality
• Operations
• 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
• Proven ability in writing clean, scalable code with significant programming experience in Python and solid understanding of 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 focusing 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
• Experience planning and executing work modules that span several months
• An eye for detail in both data and design

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.

Qualifications

• Degree in a STEM discipline or equivalent practical work experience

Requirements

• Experience with orchestration tools like Apache Airflow and Azure Data Factory
• Familiarity with storage solutions such as Google Cloud Storage and Azure Blob Storage
• Experience with OLTP systems like Postgres and Microsoft SQL Server
• Knowledge of data warehouses like BigQuery and Microsoft Fabric

Benefits

• Extremely competitive compensation package, including bonuses and/or equity grants
• Employer-covered health/vision/dental insurance (with an optional FSA)
• 401k matching
• Generous PTO allowance
• Flexible work options: remote and from our office in downtown Washington, D.C.
• Opportunities to take on responsibilities beyond assigned roles