Data Engineer

Matterworks

Data Engineer building production pipelines that transform mass spectrometry data into reliable datasets. Supporting Matterworks’ AI models and scientific product for biological discovery.

Posted 8/6/2026full-timeSomerville • Massachusetts • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing data pipelines, ensuring data quality, and collaborating with cross-functional teams. Proficient in Python and SQL, with a strong understanding of cloud data infrastructure and data handling best practices.

Highest-signal resume keywords

Data Pipeline DevelopmentPython ProficiencySQL ProficiencyCloud Data Infrastructure KnowledgeData Quality Assurance

ATS Keywords

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Hard Skills

Data Pipeline BuildingData Quality ChecksData IngestionData ReconciliationTesting and Monitoring

Soft Skills

Clear Written CommunicationCuriosity About Science

Tools & Technologies

Argo WorkflowsMetaflowEKSGlueAthenaApache IcebergParquetDuckDBTerraform

Industry Keywords

Life SciencesBiotechnologyBiochemistry

Tech Stack

Tools & technologies

ApacheCloudPythonSQLTerraform

About the role

Key responsibilities & impact

Own well-scoped data pipelines end to end, including design, testing, instrumentation, documentation, and scheduled operation
Turn raw mass spectrometry and molecular data into usable datasets with consistent schemas, trustworthy metadata, and documented definitions
Design, build, and extend data quality checks that compare each build against the previous one before publication
Stop pipelines when quality checks fail instead of shipping bad data
Ingest new public and partner datasets by fetching, converting, validating, and reconciling them with existing data
Improve systems continuously to handle messy scientific and vendor formats at scale
Build datasets for AI training corpora and product or agentic-layer use
Report to the Head of Engineering and collaborate daily with machine learning researchers, scientists, and the product team
Grow from owning well-scoped pipelines and datasets toward owning larger parts of the data platform

Requirements

What you’ll need

2+ years of professional experience building data pipelines in production
Proficiency in Python and SQL
Working knowledge of cloud data infrastructure
Experience with or transferable knowledge of Argo Workflows, Metaflow, EKS, Glue, Athena, Apache Iceberg, Parquet, DuckDB, and Terraform
Experience owning a pipeline or dataset end to end, including tests, monitoring, and failure handling
Comfort working with messy data and formats and reconciling disagreements between sources
Daily use of AI coding tools, with skepticism about their output regarding production data correctness
Clear written communication, especially when explaining failures and changes
Curiosity about science
Experience in life sciences, biotechnology, or biochemistry is a plus but not required
Interest in contributing to an early-stage startup
Candidates must currently be legally authorized to work in the United States

Benefits

Comp & perks

Stock options
Health and dental benefits
Vision benefits
Long-term disability insurance
Short-term disability insurance
Life insurance
401k with company match
Flexible work policy
Unlimited time away policy
Commuter benefits
Parking
Regular team meals and outings
Company support for continued education/coursework
Conference participation