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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** PIKA, LLC - **Location:** Palo Alto, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Software Applications, BigQuery, Databases, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), PostgreSQL, Machine Learning, Node.Js, Open Source Technology, Redis, Cloud Services, Software Engineering, SQL Databases, Data Streaming, Data Logging, Data Processing, Snowflake, AI Platforms, Data Analytics, Apache Kafka, Data Pipelines, Docker, Amazon Redshift, Golang - **Published:** September 23, 2026 - **Apply:** https://startup.jobs/data-engineer-pika-10157101 ## About the Role * 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 ## Description 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 ## Related Videos - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)