Pika
Data Engineer
US remote · Mid
Sponsorship not specifiedDetected 24 days ago
PythonGoNode.jsSQLPostgreSQLRedisBigQuerySnowflakeRedshiftAWSGCPDockerKubernetesKafkaMachine LearningAirflowData EngineeringCommunicationProblem Solving
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- You will work closely with product, engineering, and data teams to ensure data is accurate, reliable, and accessible for users and internal business needs.
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL workflows
- 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
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
- Great communication skills and ability to work cross-functionally in a collaborative environment
Nice to have
- 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
- Collaborative, high-growth culture-everyone contributes to growth and success
- Python, Go, Node.js, Postgres, Redis, Docker, Kubernetes, AWS/GCP
Skills
- Pika has raised significant funding and is backed by leading investors, with a collaborative culture based in Palo Alto, CA.
Compensation
- Competitive salary in the AI industry
Benefits
- Substantial equity in a fast-growing startup defining the future of AI and creativity
- Comprehensive health benefits, monthly stipends, and company retreats
- Build, automate, and optimize our data infrastructure for analytics, reporting, and machine learning applications
Company info
- Our mission is to make video creation seamless, intuitive, and accessible to everyone, leveraging the power of advanced AI.
- What We're Looking For
This listing is sourced directly from Pika's careers page and normalized into a canonical job model.