Data Engineer

Pika
Palo Alto
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 4+ yearsSkills: ["Analytical thinking","Problem-solving","Communication","Cross-functional collaboration","Attention to detail"]

Design, build, and scale the data infrastructure powering an AI creative platform. Own scalable data pipelines and ETL workflows, ensuring data quality, consistency, security, and reliable datasets for analytics, reporting, and machine learning. Collaborate with product, engineering, and analytics teams to define requirements, implement monitoring, resolve pipeline issues, and optimize storage and data processing performance as the product and usage grow.

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Pika
Pika
1 day ago

Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 minutes agoStatus: Live

Job Summary

Design, build, and scale the data infrastructure powering an AI creative platform. Own scalable data pipelines and ETL workflows, ensuring data quality, consistency, security, and reliable datasets for analytics, reporting, and machine learning. Collaborate with product, engineering, and analytics teams to define requirements, implement monitoring, resolve pipeline issues, and optimize storage and data processing performance as the product and usage grow.
Location: Palo Alto
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain scalable data pipelines and ETL workflows.
  • •Build, automate, and optimize data infrastructure for analytics, reporting, and machine learning.
  • •Ensure data quality, consistency, and security across sources and sinks.
  • •Collaborate with engineering, analytics, and product teams to define requirements and deliver reliable datasets.
  • •Implement monitoring and proactively resolve data pipeline issues, optimizing storage and processing performance.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health Insurance

Key Requirements

  • •4+ years of experience as a data engineer (or similar) designing, building, and maintaining data infrastructure.
  • •Strong software engineering background with proficiency in Python, SQL, and/or similar languages.
  • •Hands-on experience orchestrating data pipelines (e.g., Airflow, Prefect, Dagster).
  • •Experience with cloud data platforms such as AWS/GCP, Redshift, BigQuery, or Snowflake.
  • •Knowledge of database systems, data modeling, and data warehousing best practices.
Experience:4+ yearsAIMachine learningData infrastructure
Skills:Analytical thinkingProblem-solvingCommunicationCross-functional collaborationAttention to detail
Tech Stack:PythonGoNode.jsPostgresRedisDockerKubernetesAWS/GCPSQLAirflowPrefectDagsterRedshiftBigQuerySnowflakeKafkaKinesis

Company Brief

Pika
Pika (Pika Labs) builds AI-driven tools to generate and edit videos from text prompts and images, enabling creators to produce cinematic, 3D, anime and stylized videos with a web-based platform and APIs.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Valuation: USD 250M to 500M
Funding: Series B
Headquarters: Palo Alto, United States
Founded: 2023
WebsiteLinkedIn