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Pika

Data Engineer

today
Pika · Palo Alto, CA
HybridFull-timePython · SQL
Cyvl

Data Engineer

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Cyvl · Somerville, MA
$125k–195kOn-siteFull-timePython · SQL
Atticus

Staff Data Engineer

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Atticus · Remote
$174k–240kRemoteFull-timeBigQuery · dbt
Upside

Analytics Engineer, Data Platform

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Upside · Washington, DC
$149k–180kHybridFull-timeSQL · dbt
Metriport

Staff Data Engineer

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Metriport · San Francisco, CA
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Doctronic

Senior Data Engineer

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Doctronic · New York, NY
$200k–275kHybridFull-timeSQL · Python
Vibe

Lead Developer - Identity and Audience

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Vibe · Paris, FR
€127k–171kHybridFull-timeDagster · Spark
Mudflap

Staff Data Engineer, Tech Lead

today
Mudflap · Palo Alto, CA
$243k–285kHybridFull-timePython · SQL
Vendelux

Staff AI Engineer (NYC)

today
Vendelux · New York, NY
$250k–300kHybridFull-timePython · SQL
Vendelux

Staff AI Engineer (Remote)

today
Vendelux · New York, NY
RemoteFull-timePython · SQL
Vendelux

Staff Backend Engineer

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Vendelux · New York, NY
$225k–250kHybridFull-timePython · TypeScript
Patreon

Staff Software Engineer, Data Infrastructure

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Patreon · New York, NY
$232k–386kRemoteFull-timeKafka · Kinesis
Virta Health

Senior Analytics Engineer

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Virta Health · Remote
$162k–209kRemoteFull-timedbt Cloud · BigQuery
Trulioo

Intermediate Software Engineer (Agentic AI Verification)

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Trulioo · San Diego, CA
$100k–130kHybridFull-timePython · AWS
Broccoli AI

Founding Software Engineer, AI Support Systems

today
Broccoli AI · Lehi, UT
On-siteFull-timeAirbyte · BigQuery
Broccoli AI

Founding Data Engineer

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Broccoli AI · San Francisco, CA
$180k–230kOn-siteFull-timeClickHouse · Python
Broccoli AI

Product Manager

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Broccoli AI · San Francisco, CA
$180k–230kOn-siteFull-timeAirbyte · BigQuery
Broccoli AI

Head of Engineering

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Broccoli AI · San Francisco, CA
$275k–350kOn-siteFull-timeAirbyte · BigQuery
Broccoli AI

Senior Product Manager

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Broccoli AI · San Francisco, CA
$230k–280kOn-siteFull-timeAirbyte · BigQuery
Broccoli AI

Staff Software Engineer

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Broccoli AI · San Francisco, CA
$250k–290kOn-siteFull-timeAirbyte · BigQuery
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  • Pika

    Data Engineer

    Pika · 🇺🇸 Palo Alto, CA · posted today
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Equity
    Substantial equity (no range stated)
    Remote
    Hybrid, in-office preferred; Palo Alto, CA
    Funding
    Raised significant funding; backed by leading investors (no amount stated)
    Stack
    Python, SQL, Airflow, Prefect

    TL;DR

    Data Engineer to design, build, and maintain data pipelines, ETL workflows, and analytics infrastructure for Pika's AI video creation platform. Works with engineering, analytics, and product teams on data quality, modeling, and monitoring. Stack: Python, Go, Node.js, Postgres, Redis, Docker, Kubernetes, AWS/GCP.

    About Pika →

    The full posting

    About Pika

    At Pika, we’re building the next generation of AI creative tools to empower human creativity. Our mission is to make video creation seamless, intuitive, and accessible to everyone, leveraging the power of advanced AI. We believe that AI should amplify creative expression—enabling everyone to create, collaborate, and communicate across media. Our team includes engineers, artists, and product thinkers, all passionate about building tools that unlock new creative possibilities.

    Pika has raised significant funding and is backed by leading investors, with a collaborative culture based in Palo Alto, CA. We prefer hybrid in-office, sharing ideas and launching products together.

    About the Role

    We are seeking a Data Engineer to design, build, and scale the data infrastructure powering Pika’s creative AI platform. As a Data Engineer, you will play a key role in architecting, implementing, and maintaining our data pipelines and analytics systems, enabling our team to make data-driven decisions and deliver world-class AI experiences. You will work closely with product, engineering, and data teams to ensure data is accurate, reliable, and accessible for users and internal business needs.

    You will combine software engineering know-how with data architecture expertise, helping us build robust, scalable, and high-performance systems. Your contributions will directly support the success of millions of creators and help shape the future of AI-powered media tools.

    What You’ll Do

    • 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

    What We’re Looking For

    • 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
  • Nice to Have

    • 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

    Our Stack

    Python, Go, Node.js, Postgres, Redis, Docker, Kubernetes, AWS/GCP

    What We Offer

    • Competitive salary in the AI industry
    • 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