Data Engineer

Principal Engineer - Databases, Data Platform, MLOps | Alameda, CA | Remote-Friendly | $128,000 - $256,000

We're working with Abbott Laboratories on this exciting opportunity.

This is a pivotal opportunity for a Principal Engineer to lead the technical vision for database infrastructure and enterprise data platforms at Lingo, an Abbott company. You will shape the foundation of a platform supporting millions of users globally, working with cutting-edge biosensor data and real-time analytics.

The role combines hands-on engineering with strategic leadership across data and AI, providing significant impact on an emerging health platform.

Key Responsibilities:

• Design and maintain database systems across relational, NoSQL, and time-series technologies

• Architect and optimize data pipelines using Spark, Flink, Kafka, Airflow, or equivalent

• Evolve our data platform to support batch, streaming, and real-time needs

• Drive data quality, observability, lineage tracking, and efficient resource usage

• Design our MLOps foundations and practices such as data preparation, reproducibility, and monitoring

• Serve as a technical anchor across data and ML domains, providing architectural guidance and code reviews

What You'll Need:

• 10+ years of software engineering experience with 7+ years focused on databases, data engineering, or ML infrastructure

• Deep knowledge of relational and NoSQL databases, query optimization, replication, and sharding

• Experience building and operating large-scale data pipelines

• Strong SQL and data modeling skills (dimensional, 3NF, Data Vault)

• Familiarity with cloud-native data services (AWS, Azure, GCP)

• Proven ability to lead cross-functional technical initiatives

What's On Offer:

• Opportunity to work for a global healthcare leader

• Shape the foundation of a platform supporting millions of users globally

• Collaborative and growth-oriented culture

Apply via Haystack today