Data Engineer

Wynd Labs|Remote (United States)Remotefull_timemid

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Tech Stack

RedshiftSnowflakeSQLApache AirflowAWS GlueTerraformCloudformationPythonScalaJavaDockerKubernetesAWSGCPAzure

Solid badges = required, outlined = preferred

Responsibilities

Design, build, and optimize scalable data pipelines to process and integrate data from various sources in real-time or batch modes.
Develop and manage ETL/ELT workflows to transform raw data into structured formats for analysis and reporting.
Integrate and configure database infrastructure, ensuring performance, scalability, and data security.
Automate data workflows and infrastructure setup using tools like Apache Airflow, Terraform, or similar.
Collaborate with data scientists, analysts, and other stakeholders to ensure efficient data accessibility and usability.

Soft Skills

EtlAnalytical SkillsProblem-SolvingCross-Functional CollaborationCommunication Skills

Benefits

Equity
Health Insurance
Remote Work

Culture

Remote WorkHigh GrowthLeanHigh OutputLow-Context Culture

Requirements

Required: Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field

Regions: Us

About Wynd Labs

Industry: ai

Size: startup

Wynd Labs builds infrastructure to deliver massive amounts of high-quality public web data to companies training powerful AI models, operating a distributed crawler and pipelines for ingesting, segmenting, and annotating billions of files. The company is a lean, technical team focused on expanding possibilities for open web data and AI.

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Compensation

Equity: equity package

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