Senior Data Engineer

Absentia Labs

. Architect and lead end-to-end data systems for large-scale biomedical datasets .

Posted 11/6/2026full-timeUnited StatesSenior💰 $115,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and leading data systems for large-scale biomedical datasets, with a strong focus on data quality, cloud-native infrastructure, and collaboration with ML teams. Proficient in designing data pipelines and ensuring data integrity while providing technical leadership and mentorship.

Highest-signal resume keywords

Data EngineeringCloud Platforms (AWS, GCP, Azure)Python ProgrammingData Pipeline DesignTechnical Leadership

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Hard Skills

Data EngineeringData Pipeline DesignSchema-Driven Data ModelsData Quality PracticesCloud-Native InfrastructureBatch and Streaming PipelinesDistributed Data ProcessingML/AI Workloads SupportData-Centric Software EngineeringArchitectural Judgment

Soft Skills

CommunicationMentorshipCollaboration

Tools & Technologies

SparkBeamRayAirflowDagsterDockerKubernetes

Industry Keywords

Biomedical DataLife-Science DataInfrastructure-as-CodeStreaming PlatformsOntology-Aware Data Modeling

Tech Stack

Tools & technologies

AirflowAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonRaySpark

About the role

Key responsibilities & impact

Architect and lead end-to-end data systems for large-scale biomedical datasets
Define and evolve schema-driven data models for noisy, semi-structured, heterogeneous sources
Establish data quality, validation, provenance, lineage, and versioning practices
Build and maintain cloud-native data infrastructure, including data lakes, warehouses, object storage, and streaming systems
Design batch and streaming pipelines for ML training, evaluation, and inference
Partner with ML engineers, scientists, and product leads to translate research needs into durable data abstractions
Make trade-offs around performance, cost, flexibility, and correctness in production systems
Provide technical leadership through design reviews, architectural guidance, and mentorship
Identify and address systemic risks in data integrity, scalability, and operational complexity
Own the design and evolution of Absentia Labs’ biomedical data platform with high autonomy

Requirements

What you’ll need

5+ years of experience in data engineering, platform engineering, or ML infrastructure roles, with clear ownership of production systems
Proven experience designing and operating large-scale, production-grade data pipelines
Strong proficiency in Python and data-centric software engineering practices
Deep experience with cloud platforms (AWS, GCP, or Azure), including storage, compute, and security primitives
Familiarity with distributed data processing and orchestration systems (e.g., Spark, Beam, Ray, Airflow, Dagster)
Experience supporting ML/AI workloads, including dataset generation, feature pipelines, and reproducible training workflows
Strong architectural judgment and ability to communicate technical decisions clearly across disciplines
Legally authorized to work in the U.S.
Prior work with biomedical or life-science data, streaming platforms, ontology-aware data modeling, infrastructure-as-code, Docker, Kubernetes, early-stage startups, open-source contributions, or technical publications are bonuses

Benefits

Comp & perks

Meaningful equity participation
Bonus opportunity
Flexible remote or hybrid work arrangements
High autonomy, high trust, and ownership over critical systems
A deeply technical, low-ego culture focused on learning and rigor
Chance to architect the data backbone of an AI-driven biomedical platform
Direct impact on translating scientific data into machine intelligence