Staff Data Engineer

About Lore: Lore is a company dedicated to building a new kind of care: a continuous, holistic approach that supports people whether they’re flourishing, struggling, or somewhere in between. We focus on preemptive care to address triggers in modern healthcare, which traditionally struggles with fallout.

About The Role: We are looking for a Data Engineer who will play a key role in accelerating innovation by delivering robust data solutions. You will be responsible for designing and implementing scalable data strategies to power machine-learning algorithms and provide the data infrastructure needed to enable personalized, data-driven experiences.

Responsibilities:

- Maximize speed of iteration by breaking data solutions into small slices of deliverables that are adaptable, improvable, and reusable.
- Design & implement your squad's data strategy to power machine-learning-based algorithms.
- Provide high fidelity data products that enable algorithms to improve by learning from previous decisions or predictions.
- Supply data necessary to identify intent and conversational context on a personalized level to support individual reflection and community connection.
- Harvest data to distill content and understand what resonates with a person via algorithms.
- Experiment with various methods of direct delivery to participants and optimize effectiveness on a personalized basis.
- Engineer recommendation systems with a goal of maximizing user interaction in a manner that fosters behavioral change.
- In collaboration with a team, develop a suite of metrics for tracking algorithm effectiveness and iteration improvements over time.

Requirements:

- 8+ years of professional experience in data engineering or a related field, with demonstrated expertise in building and deploying scalable data solutions.
- Strong skills in critical thinking, decision making, problem-solving, and attention to detail.
- Technically skilled, and able to understand technology tradeoffs that your squad will face.
- Proficient at resolving ambiguity. When there is uncertainty, you can work with squad colleagues to define the path forward.
- Able to work independently, operating without significant input or guidance.
- Strong knowledge and proficiency in modern programming languages (Python, SQL).
- Proficient designing, building, and optimizing data pipelines, architectures and data sets that compound in value. Experience with building data infrastructure and managing data operation.
- Architect solutions utilizing transactional databases, operational data stores (ODS) and analytical data warehouses.
- Experience using Microsoft SQL Server, Google Spanner, Google Spanner, and Google BigQuery.
- Compose and optimized TSQL stored procedures utilized by application(s) and APIs.
- Cloud Pub/Sub (real-time messaging service).
- Cloud platform experience (GCP preferred).
- Experience with Dataflow, Datastream, Apache Airflow, dbt Core, Cloud Functions, or similar data integration & orchestration tool(s).
- Experience working in a collaborative multi-disciplinary team with an agile process.
- Highly motivated with outstanding organizational skills, effective relationship builder - ability to partner internally & externally with various levels of the organization and personality types.