Data Engineer & Developer at Lumen Bioscience

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

160000.0

Posted On

11 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Python, SQL, Data Warehousing, ETL, ELT, API Integrations, Benchling, Terraform, CloudFormation, CI/CD, PostgreSQL, Data Lake, Streaming Pipelines, Laboratory Instruments, Scientific Workflows, Data Integrity

Industry

Biotechnology Research

Description

This position is on-site in Seattle, WA. Join Lumen Bioscience as a Data Engineer & Developer to build and maintain cloud infrastructure, data pipelines, and software integrations that power our scientific computing capabilities. In this role, you will own AWS architecture and operations and develop integrations between Benchling (ELN/LIMS), laboratory instruments, and downstream data systems to enable seamless data flow from bench to warehouse to decision-ready dashboards. You will design, deploy, and maintain AWS infrastructure supporting QC instrument pipelines, data warehousing, and analytical workloads. You will develop and maintain Benchling API integrations that automate data capture from lab workflows and enable bi-directional data exchange with enterprise systems. You will build and optimize ETL/ELT pipelines for lot release assays, quality metrics, and operational dashboards, and implement event-driven architectures that propagate data automatically to downstream consumers. You will contribute as a dependable teammate in a fast-paced, cross-functional environment, collaborating with the LIMS team to translate workflow requirements into robust, validated data pipelines. You will monitor infrastructure health, troubleshoot pipeline failures, and establish alerting for proactive issue detection. Success in this role requires strong organization, clear communication with scientific stakeholders, and thorough documentation. Duties & Responsibilities: Cloud Infrastructure, Pipelines, and Integrations: Design, deploy, and maintain AWS infrastructure supporting QC instrument pipelines, data warehousing, and analytical workloads. Build and optimize ETL/ELT pipelines for lot release assays, quality metrics, and operational dashboards. Implement event-driven architectures that propagate data automatically to downstream consumers (warehouses, dashboards, reporting systems). Develop and maintain Benchling API integrations, automating data capture from lab workflows and enabling bi-directional data exchange with enterprise systems. Collaboration, Operations, and Documentation: Collaborate with the LIMS team to translate workflow requirements into robust, validated data pipelines. Monitor infrastructure health, troubleshoot pipeline failures, and establish alerting for proactive issue detection. Contribute to data integrity and audit trail requirements for GxP-relevant systems; support validation activities as needed. Document architecture decisions, integration patterns, and operational runbooks. Qualifications & Requirements: Education and Experience: Hands-on experience with AWS services (Lambda, Step Functions, RDS/Aurora, S3, EventBridge, IAM). Proficiency in Python; experience building REST API integrations and working with third-party APIs. Strong SQL skills and experience with data warehousing concepts (star schemas, dimensional modeling). Familiarity with infrastructure-as-code (Terraform, CloudFormation) and CI/CD practices. Experience with Benchling or similar ELN/LIMS platforms and their APIs. Background in regulated industries (biotech/pharma) or familiarity with 21 CFR Part 11 / data integrity (ALCOA+) principles. Experience with dashboard/BI tools (e.g., Metabase, Tableau, or custom solutions). Familiarity with PostgreSQL, data lake architectures, or streaming pipelines. Exposure to laboratory instrument data formats and scientific data workflows. Skills and Attributes: Clear communicator who can translate technical concepts for scientific stakeholders. Strong attention to detail and organizational skills. Self-starter with the ability to adapt and contribute effectively in a fast-changing environment, and to work independently and in a team-oriented environment. High level of integrity, ethics, and commitment to quality and timely delivery of results. Physical Requirements: Ability to work on-site in Seattle, WA Ability to sit for extended periods of time (2 or more hours) Occasionally lift or carry items up to 50 lb/23 kg Benefits at Lumen Bioscience: Stock bonus Health, Dental, and Vision premiums fully covered by Lumen 401k match up to 4% Industry-leading PTO policy, paid refresh days, and paid year-end holiday office closure Monthly wellness program to support your health and well-being Free onsite parking or public transportation subsidies Comprehensive parental leave policies Life insurance, short & long-term disability, and access to employee assistance programs At Lumen Bioscience, we foster a workplace built on collaboration, innovation, and professional growth. This role offers a significant opportunity to contribute directly to cutting-edge biotechnology and the advancement of global health solutions. Join us to shape innovative solutions and drive operational excellence. Compensation Range $145,000—$160,000 USD

Responsibilities

The Data Engineer & Developer will build and maintain cloud infrastructure, data pipelines, and software integrations to support scientific computing capabilities. This includes developing AWS architecture, optimizing ETL/ELT pipelines, and ensuring seamless data flow across systems.