Senior Software Engineer, Data Platform

Matterworks
United States
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Collaboration","Communication","Ownership","Healthy skepticism","Debugging"]

Build and scale production data systems that enrich raw biochemical signals into usable, biologically contextual datasets. Own scalable data contracts and high-throughput data serving while automating quality gates to prevent regressions. Implement labeling, enrichment, stable identifiers, and production-grade validation, and expose platform capabilities through SDKs and interfaces. Work closely with ML researchers, scientists, and product within a hybrid team.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Matterworks
Matterworks
3 days ago

Senior Software Engineer, Data Platform

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and scale production data systems that enrich raw biochemical signals into usable, biologically contextual datasets. Own scalable data contracts and high-throughput data serving while automating quality gates to prevent regressions. Implement labeling, enrichment, stable identifiers, and production-grade validation, and expose platform capabilities through SDKs and interfaces. Work closely with ML researchers, scientists, and product within a hybrid team.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, and scale data pipelines and system interfaces that other teams consume from, scaling to multiple petabytes.
  • •Build and scale data acquisition, storage, and serving including data layout, featurization throughput, Kubernetes-native orchestration, and cost management.
  • •Transform raw data into datasets with consistent schemas, trustworthy metadata, documented definitions, and scalable scientific labels.
  • •Automate quality checks with validation gates to enable increasing capability without regression.
  • •Own surfaces AI, chemistry, product, and agents call, including the SDK used to build datasets and tools exposing platform capabilities.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionDisabilityLife Insurance401kEquityRemote WorkPaid LeaveLearning Budget

Key Requirements

  • •Significant professional experience building production data systems and pipelines, with scope/judgment valued over years.
  • •Proficient in Python and SQL for large-scale data processing.
  • •Proficient in Kubernetes-native batch orchestration and modern data lake technologies (e.g., Argo Workflows, Metaflow, EKS, Glue, Athena, Apache Iceberg, Parquet, DuckDB, Terraform).
  • •Experience designing stable identifiers for a large, changing corpus and building validation that gates publishing.
  • •Experience deploying an LLM/agent component into a production data path, including eval loop, gold set, and cost per record.
Experience:Data platformMachine learningBiological dataData pipelinesData lakeLLMKubernetes-nativeData governance
Skills:CollaborationCommunicationOwnershipHealthy skepticismDebugging
Tech Stack:PythonSQLKubernetesArgo WorkflowsMetaflowEKSGlueAthenaApache IcebergParquetDuckDBTerraformAirflowDagsterLLMSDKMzMLRDKitProteoWizard

Company Brief

Matterworks
Matterworks builds AI-driven metabolomics and mass‑spectrometry analysis (Pyxis/LSM) to extract predictive biological insights for discovery, development, and biomanufacturing across biotech and life‑sciences applications.
Industry: Scientific Research
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: Somerville, United States
Founded: 2019
Glassdoor
Glassdoor: 5.0
WebsiteLinkedInGlassdoor