Sr. Data Platform Engineer (US)

Craft
United States
Workplace: RemoteFull timeUSD 170,000+ annuallyFunction: DevOps, Cloud & InfrastructureExperience: 4+ yearsSkills: ["Problem solving","Communication","Self-starter"]

Build and optimize batch and streaming data pipelines for multiple product teams, extracting and modeling structured and unstructured datasets. Design maintainable, testable software, support data strategy, and modernize tooling by tracking emerging data engineering trends. Apply ML techniques (anomaly detection, clustering, regression/classification, summarization) and help evolve extendable data processing systems using a production-grade, observable engineering approach.

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FursaFursa
Craft
Craft
1 month ago

Sr. Data Platform Engineer (US)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Build and optimize batch and streaming data pipelines for multiple product teams, extracting and modeling structured and unstructured datasets. Design maintainable, testable software, support data strategy, and modernize tooling by tracking emerging data engineering trends. Apply ML techniques (anomaly detection, clustering, regression/classification, summarization) and help evolve extendable data processing systems using a production-grade, observable engineering approach.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Build and optimize data pipelines for batch and streaming workloads.
  • •Extract, analyze, and model structured and unstructured datasets.
  • •Design software that is testable, maintainable, and built for production reliability.
  • •Support data strategy and vision while incorporating modern data engineering best practices.
  • •Apply ML techniques (anomaly detection, clustering, regression/classification, summarization) and leverage AI-powered development tools to accelerate delivery.

Pay and Benefits

Salary: USD 170,000 annually
Equity and Bonus:Equity
Perks:EquityHealth InsuranceDentalVision401kPaid Leave

Key Requirements

  • •4+ years of experience in data engineering and 4+ years with Python.
  • •Experience building, maintaining, and ensuring reliability, scalability, fault tolerance, and observability of data pipelines in production.
  • •Fundamental data engineering knowledge including ETL/ELT, batch and streaming, DWH, data lakes, and distributed processing.
  • •Strong SDLC knowledge and solid software engineering practices, including infrastructure-as-code familiarity.
  • •Hands-on familiarity with parts of the tech stack (e.g., Python, PySpark, Pandas, SQL/PostgreSQL, Airflow, Docker, AWS, Databricks, Terraform) and AI-assisted coding tools like Cursor/Co-Pilot/Codex.
Experience:4+ yearsData engineering
Skills:Problem solvingCommunicationSelf-starter
Tech Stack:PythonPySparkPandasSQLPostgreSQLElasticsearchAirflowDockerDatabricksAWS S3AWS BatchAWS AthenaAWS RDSDynamoDBAWS GlueAWS ECSAmazon NeptuneCircleCIGitHubTerraform

Company Brief

Craft
Provides an enterprise supplier intelligence and supply‑chain resilience platform that helps organizations discover, evaluate, monitor and mitigate risk across supplier networks using a large data fabric and AI-driven insights.
Industry: Supply Chain Technology
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Valuation: USD 250M to 500M
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2016
Glassdoor
Glassdoor: 3.6
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