Evolutia Bio
Data Pipeline Engineer Biologyfocused
Evolutia Bio, Sunnyvale, California, United States, 94087
About Evolutia Bio : Evolutia Bio is a leading biotechnology company focused on revolutionizing industrial manufacturing of pure, consistent and sustainable ingredients. Evolutia Bio's team has a proven track record of developing and commercializing bio-based manufacturing processes and products to benefit our partners and their customers.
Data Pipeline Engineer (Biology-focused)
Position Summary:
In this role, you will specialize in the design and development of the company’s data infrastructure, with a focus on LIMS integration, relational database management, cloud-native deployment and internal tools. You will work closely with scientists and bioinformaticians to ensure experimental data is well-captured, traceable, searchable, and usable across teams. While experience with biology pipelines is helpful, your primary focus will be building and scaling structured data systems and services that power our enzyme and strain engineering platform. Location:
Sunnyvale, CA US Education:
Master’s or bachelor's in data science, Computer Science, Statistics, Systems Biology, Bioinformatics, or similar field; interdisciplinary work is strongly encouraged. Minimal Qualifications: 2+ years of professional experience in backend software development, data engineering or bioinformatics infrastructure Experience with workflow orchestration tools like Snakemake, Nextflow or Step Functions Experience deploying infrastructure and services on AWS, especially RDS, Lambda, EC2, S3, Security Groups and IAM Familiarity with cloud-native or serverless architectures (e.g., AWS CDK, Terraform, CloudFormation) Adept with SQL databases (PostgreSQL, MySQL) including schema design, optimization, and integration with APIs Proven experience implementing or integrating LIMS or scientific data management systems Skilled in Python, R and languages for backend/API development Familiar with RESTful API design, containerization (Docker), and version control (Git) Able to collaborate effectively with cross-functional teams in a fast-paced scientific environment Preferred Experience: Experience in a biotech or life sciences environment, particularly in enzyme engineering or high-throughput biology Familiarity with NGS workflows or sequencing data, even if not the primary focus Knowledge of data security and compliance requirements (e.g., audit trails, access control, sample tracking) Responsibilities Include : Design and maintain relational databases (e.g., PostgreSQL, MySQL) to track experiments, sample metadata, assay results, and process history Develop or integrate LIMS systems to support high-throughput screening, cloning, protein expression, and sequencing workflows Build and deploy backend services/APIs to allow internal tools and analysis pipelines to interact with lab data Partner with wet lab and automation teams to map experimental workflows into digital data models Design robust data schemas that support traceability, versioning, and lineage tracking Implement ETL pipelines to ingest and normalize data from instruments, robots, and analysis tools Manage and optimize AWS infrastructure (EC2, RDS, Lambda, S3, Batch, etc.) for hosting applications and services Collaborate with data science and bioinformatics teams to ensure that data is accessible, consistent, and queryable for downstream analysis Monitor data integrity and system performance, and proactively improve reliability and scalability Maintain documentation, version control, and compliance with internal data governance policies Employment Details: Full-time, Onsite (Sunnyvale, CA) Travel not required Must be authorized to work in the U.S. Physical Requirements: Ability to perform repetitive tasks using hands and wrists. Compliance with lab safety practices and PPE usage (lab coat, gloves, safety glasses). Compensation & Benefits: Competitive salary package Generous PTO and company holidays Comprehensive medical, dental, and vision insurance Life, AD&D, short- and long-term disability insurance 401(k) retirement plan management Equal Opportunity Employer:
Evolutia Bio is an equal opportunity employer. We are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics. All employment is decided based on qualifications, merit, and business needs.
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In this role, you will specialize in the design and development of the company’s data infrastructure, with a focus on LIMS integration, relational database management, cloud-native deployment and internal tools. You will work closely with scientists and bioinformaticians to ensure experimental data is well-captured, traceable, searchable, and usable across teams. While experience with biology pipelines is helpful, your primary focus will be building and scaling structured data systems and services that power our enzyme and strain engineering platform. Location:
Sunnyvale, CA US Education:
Master’s or bachelor's in data science, Computer Science, Statistics, Systems Biology, Bioinformatics, or similar field; interdisciplinary work is strongly encouraged. Minimal Qualifications: 2+ years of professional experience in backend software development, data engineering or bioinformatics infrastructure Experience with workflow orchestration tools like Snakemake, Nextflow or Step Functions Experience deploying infrastructure and services on AWS, especially RDS, Lambda, EC2, S3, Security Groups and IAM Familiarity with cloud-native or serverless architectures (e.g., AWS CDK, Terraform, CloudFormation) Adept with SQL databases (PostgreSQL, MySQL) including schema design, optimization, and integration with APIs Proven experience implementing or integrating LIMS or scientific data management systems Skilled in Python, R and languages for backend/API development Familiar with RESTful API design, containerization (Docker), and version control (Git) Able to collaborate effectively with cross-functional teams in a fast-paced scientific environment Preferred Experience: Experience in a biotech or life sciences environment, particularly in enzyme engineering or high-throughput biology Familiarity with NGS workflows or sequencing data, even if not the primary focus Knowledge of data security and compliance requirements (e.g., audit trails, access control, sample tracking) Responsibilities Include : Design and maintain relational databases (e.g., PostgreSQL, MySQL) to track experiments, sample metadata, assay results, and process history Develop or integrate LIMS systems to support high-throughput screening, cloning, protein expression, and sequencing workflows Build and deploy backend services/APIs to allow internal tools and analysis pipelines to interact with lab data Partner with wet lab and automation teams to map experimental workflows into digital data models Design robust data schemas that support traceability, versioning, and lineage tracking Implement ETL pipelines to ingest and normalize data from instruments, robots, and analysis tools Manage and optimize AWS infrastructure (EC2, RDS, Lambda, S3, Batch, etc.) for hosting applications and services Collaborate with data science and bioinformatics teams to ensure that data is accessible, consistent, and queryable for downstream analysis Monitor data integrity and system performance, and proactively improve reliability and scalability Maintain documentation, version control, and compliance with internal data governance policies Employment Details: Full-time, Onsite (Sunnyvale, CA) Travel not required Must be authorized to work in the U.S. Physical Requirements: Ability to perform repetitive tasks using hands and wrists. Compliance with lab safety practices and PPE usage (lab coat, gloves, safety glasses). Compensation & Benefits: Competitive salary package Generous PTO and company holidays Comprehensive medical, dental, and vision insurance Life, AD&D, short- and long-term disability insurance 401(k) retirement plan management Equal Opportunity Employer:
Evolutia Bio is an equal opportunity employer. We are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics. All employment is decided based on qualifications, merit, and business needs.
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