Pika
Data Engineer
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it yesterday · Found 7h ago
First listed yesterday.
Salary
Not stated
Location
United States only
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
This employer didn't state pay. Jobs like this usually pay around $110k–$205k a year, a typical range taken from 231 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "US remote"
- Job description states: "based in Palo Alto"
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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
Requirements
- ·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
Benefits
- ·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
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Pika, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 8h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $110k to $205k per year · You'll be taken to the employer's careers page.