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Jobs(26,664)/Data Engineer Role(605)/pika (7) - Data Engineer
pika

pika - Data Engineer

United States - Hybrid+ Equity3w ago
In OfficeMidNACloud ComputingArtificial IntelligenceData EngineerSQLPythonAirflowPrefectAWS

Requirements

• 4+ years of experience as a data engineer or in a similar role designing, building, and maintaining data infrastructure • Strong software engineering background with proficiency in Python, SQL, and/or similar languages • Hands-on experience with data pipeline orchestration tools (Airflow, Prefect, Dagster, etc.) • Experience with cloud data platforms (AWS/GCP, Redshift, BigQuery, Snowflake, etc.) • Knowledge of database systems, data modeling, and data warehousing best practices • Familiarity with monitoring, logging, and data quality practices for data workflows • Excellent analytical and problem-solving skills with attention to detail • Great communication skills and ability to work cross-functionally in a collaborative environment • Self-motivated, curious, and comfortable in a fast-paced, high-growth startup • Experience supporting data for machine learning or AI-powered applications • Familiarity with real-time or streaming data architectures (Kafka, Kinesis, etc.) • Prior work at high-growth startups or experience with rapid scaling • Open source, hackathon, or data engineering community experience • Python, Go, Node.js, Postgres, Redis, Docker, Kubernetes, AWS/GCP

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL workflows • Build, automate, and optimize our data infrastructure for analytics, reporting, and machine learning applications • Ensure data quality, consistency, and security across all sources and sinks • Collaborate with engineering, analytics, and product teams to define data requirements and deliver reliable datasets • Implement monitoring solutions and proactively resolve data pipeline issues • Optimize storage and data processing performance for growth and efficiency • Contribute to data modeling efforts and schema design for analytics and product needs • Help establish best practices and empower a data-driven culture across the organization

Benefits

• Substantial equity in a fast-growing startup defining the future of AI and creativity • Comprehensive health benefits, monthly stipends, and company retreats • Collaborative, high-growth culture—everyone contributes to growth and success

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