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Data Engineer I/II, Lab Informatics

Altos Labs

Altos Labs

Data Science
San Francisco, CA, USA
Posted on Wednesday, August 9, 2023

Our Mission

To restore cell health and resilience through cellular rejuvenation programming to reverse disease, injury, and the disabilities that can occur throughout life.

Diversity at Altos

We believe that diverse perspectives are foundational to scientific innovation and inquiry.

We are building a company where exceptional scientists and industry leaders from around the world work side by side to advance a shared mission.

Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives.

At Altos, we are all accountable for sustaining a diverse and inclusive environment.

What You Will Contribute to Altos

The Altos Scientific Computing and Data team is seeking a Data and Platform engineer to scale our scientific data and metadata management capabilities. As a Data Engineer, you will be responsible for developing and maintaining efficient data pipelines and processes to transform, migrate, and integrate data and metadata across various scientific systems - including internal applications, databases, and electronic lab notebook systems such as Benchling. Your work will play a crucial role in ensuring the integrity, accuracy, and availability of our scientific metadata and analyses to all facets of the Altos organization.


  • Design and develop scalable data pipelines for transforming and migrating data from diverse, multi-modal sources to target systems, ensuring data quality, accuracy, and consistency throughout the process
  • Collaborate with cross-functional teams, including software engineers, data engineers, data modelers, and research scientists to understand scientific data requirements and define schemas, transformation, storage, and migration strategies
  • Perform data profiling and analysis to identify data quality issues, anomalies, and inconsistencies, and implement remediation strategies
  • Develop and maintain data transformation and migration workflows, adhering to best practices and industry standards
  • Monitor and troubleshoot data pipelines, proactively identifying and resolving performance bottlenecks, data integration issues, and data quality problems
  • Stay up-to-date with emerging technologies, tools, and trends in data engineering.
  • Document data transformation and migration processes, including data mappings, transformations, and dependencies, and maintain comprehensive documentation for future reference

Who You Are

Required Qualifications

  • B.S. or M.S. degree in Computer Science, or related quantitative field, or equivalent technical experience.
  • 2-5 years experience as a Data Engineer in a hands-on capacity, preferably in a biotechnology-focused or other life sciences research setting
  • Strong programming skills in languages such as Python, Scala, Java, or JavaScript, and proficiency in SQL
  • Strong understanding of relational and non-relational databases, data modeling principles, and query optimization techniques
  • Familiarity with data integration tools and orchestration frameworks, such as Apache Airflow, Apache Spark, and/or Palantir Foundry
  • Familiarity with cloud platforms, such as AWS, Azure, or Google Cloud, and their data services (e.g., AWS Glue)
  • Experience designing and integrating data extraction processes using REST-like APIs
  • Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment
  • Excited to design, implement, and evangelize technical and cultural standards across scientific and technical functions

Preferred Skills

  • Experience with scientific data management and documentation tools, including electronic lab notebook (ELN) systems (Benchling) and/or laboratory information management systems (LIMS)
  • Experience with infrastructure as code (IaC) principles and technologies, such as Terraform or CDK
  • Familiarity working with semantic data frameworks, including ontology management systems and knowledge graphs
  • Knowledge of data governance, data security, and data privacy practices

The salary ranges for these position are

Redwood City: Data Engineer I is $124,950 to $169,050; Data Engineer II is 138,550 to 187,450

San Diego: Data Engineer I is $113,900 to $154,100; Data Engineer II is $128,350 to $173,650


What We Want You To Know

We are a culture of collaboration and scientific freedom, and we believe in the values of diversity, inclusion and belonging to inspire innovation.

Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief).

Thank you for your interest in Altos Labs where we strive for a culture of scientific freedom, learning, and belonging.

Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at