NEW JOB OPENING
DATA ENABLEMENT ENGINEER - DATABRICKS, SQL & AI AUTOMATION
IN Remote, USA!

Preferred Skills:

• Experience establishing data quality, observability, or data contract practices

• Experience building AI skills, agents, or workflow automation Python proficiency



Required Skills:

What you'll bring

• 4–8 years in analytics engineering, data engineering, or an adjacent data role

• Demonstrated ability to turn an under-specified request into a clear, buildable requirement

• Experience designing data models and schemas for analytical use

• Hands-on Databricks and advanced SQL, able to profile unfamiliar tables and validate grain and joins independently; Git and Python a plus

• Fluency using AI tools for research and building, and strong cross-team partnerships



How you will contribute

• Has autonomy to work collaboratively with the leaders in your space to drive initiatives and the overall data strategy.

• Develops a plan organized into pieces that can be individually owned, uses independent judgment, and communicates progress and trade-offs

• Carries cross-team conversations independently, collaborating closely with the hiring manager on requirements and design



Duties:

• We are looking for creative problem solvers with a passion for tackling tough customer problems involving data to serve as a Data Enablement Engineer, taking data initiatives from the question behind them through to a designed, proven solution other teams can build on. If you're passionate about large initiatives at a scale that helps transform the lives of internal and external stakeholders, this is that kind of work.

• Our Data Science team builds the standardized, trusted tables and metrics behind the organization's reporting and analytics. The role calls for a proactive, end-to-end contributor who can determine what a stakeholder is actually asking, define the data needed, design the solution, prove it out, and set data engineering up to productionize it. Programs for the coming year range from redesigning the data layers behind our reporting to meet a consistent standard for trusted data, to building foundational data assets with our source teams, to shaping the strategy and architecture for how teams publish and discover data.



Responsibilities

• Partner with data science stakeholders to understand the business problem behind a key result, and determine the data needed to answer it

• Translate that into clear requirements and specifications data engineering can build from, and maintain a well-specified backlog

• Design schemas, tables, and data solutions that meet our standards for trusted, well-documented data

• Build proofs of concept, from design documents through to notebooks validated against real data, judging how much prototyping each decision warrants

• Partner with source data owners, and with data engineering through build and UAT

• Advance trusted data foundations — observability, schema monitoring, quality rules, data contracts — and build AI skills and agents that accelerate the team

• **Only those lawfully authorized to work in the designated country associated with the position will be considered.**

• **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**