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Jobs(29,807)/Data Engineer Role(401)/craft.co (1) - Sr. Data Platform Engineer (US)
craft.co

craft.co - Sr. Data Platform Engineer (US)

US (Remote) - Hybrid$170k - $170k+ Equity1w ago
In OfficeSeniorNACloud ComputingArtificial IntelligenceData EngineerPlatform EngineerPandasPostgreSQLPythonSQLDockerAWSAirflowAmazon NeptuneTerraformDatabricksCursorDocumentation

Requirements

• 4+ years of experience in Data Engineering. • Experience in developing, maintaining, and ensuring the reliability, scalability, fault tolerance, and observability of data pipelines in a production environment. • Have fundamental knowledge of data engineering techniques: ETL/ELT, batch and streaming, DWH, Data Lakes, distributed processing. • Strong knowledge of SDLC and solid software engineering practices. • Familiar with infrastructure-as-code approach. • Demonstrated curiosity through asking questions, digging into new technologies, and always trying to grow. • Strong problem solving and the ability to communicate ideas effectively. • Self-starter, independent, likes to take initiative. • Familiarity with at least some of the technologies in our current tech stack: • Python, PySpark, Pandas, SQL (PostgreSQL), ElasticSearch, Airflow, Docker • Databricks, AWS (S3, Batch, Athena, RDS, DynamoDB, Glue, ECS, Amazon Neptune) • CircleCI, GitHub, Terraform • Knowledge surrounding AI-assisted coding and experience with Cursor, Co-Pilot, or Codex • A strong track record of leveraging AI IDEs like Cursor to: • Rapidly scaffold components and APIs • Refactor legacy codebases efficiently • Reduce context-switching and accelerate documentation • Experiment and prototype with near-instant feedback

Responsibilities

• Build and optimize data pipelines (batch and streaming). • Extracting, analyzing and modeling rich and diverse datasets of structured and unstructured data. • Design software that is easily testable and maintainable. • Support in setting data strategies and our vision. • Keep track of emerging technologies and trends in the Data Engineering world, incorporating modern tooling and best practices at Craft. • Work on extendable data processing systems that allows to add and scale pipelines. • Apply machine learning techniques such as anomaly detection, clustering, regression classification, and summarization to extract value from our data sets. • Leverage AI-powered development tools (e.g. Cursor) to accelerate development, refactoring, and code generation.

Benefits

• Competitive salary starting at $170,000 USD/ year. This starting number can be increased based on levels of expertise, location, cost of living, taxes, market experience, etc. • Equity at a well-funded, fast-growing startup • Unlimited vacation time so you can take what you need, when you need it • 99% covered health + dental + vision insurance for employees and dependents • 401K through Empower with options to invest how you want it • A NOTE TO CANDIDATES:

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