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# Software Engineering - Data Engineer

- **Company:** Voltai Inc.
- **Location:** Menlo Park, CA, United States
- **Contract:** Permanent contract
- **Skills:** HTML, Artificial Intelligence, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Big Data, Cloud Computing, Databases, Computer Engineering, Data Validation, Data Infrastructure, Data Mining, Python (Programming Language), PostgreSQL, Machine Learning, Open Source Technology, Parsing, Cloud Services, Software Engineering, Web Crawlers, Data Processing, Data Storage Technologies, Data Ingestion, Large Language Models, Apache Spark, Agentic-AI, Apache Flink, Non-relational Database, Machine Learning Operations, Functional Programming, Data Pipelines, Apache Beam, Programming Languages
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineering-data-engineer-menlo-park-ca--62afc4b3-d199-4a58-906c-18a5d93031fd

## About the Role

Software Engineering, Electronics, Semiconductor Manufacturing, Printed Circuit Board Design, Consumer Electronics, Computer Engineering, Internet of Things, Semiconductors, Electronic Design, Artificial Intelligence (AI), * Programming Languages: Proficiency in Python, with experience in compiled languages such as Go or Rust, * Data Pipeline Frameworks: Experience with modern data pipeline frameworks such as Apache Airflow, Prefect, Dagster, or Apache Beam, enabling efficient orchestration of complex data workflows

 * Data Processing Tools: Familiarity with tools like Apache Spark, Apache Flink, or similar platforms for large-scale data processing and transformation
 * Database Systems: Strong knowledge of relational and non-relational databases, including PostgreSQL, Supabase, and other scalable storage solutions
 * Cloud Platforms: In-depth experience with cloud services, particularly AWS, including S3, EC2, Lambda, and related services for deploying and managing data infrastructure
 * Web Crawling and Agentic Crawling: Proficiency in building and managing web crawlers using frameworks like Scrapy, Firecrawl, or Crawl4AI, with an understanding of agentic crawling techniques to automate data extraction tasks
 * Data Quality and Governance: Commitment to maintaining high data quality standards, with experience in implementing data validation, cleansing, and governance practices

Bonus Points

 * A strong background in hardware/electronics, gained through professional, academic, or personal projects
 * Experience in constructing datasets for large scale ML models, specifically LLMs
 * Contributions to open-source initiatives
 * Experience thriving in a fast-paced, hyper-growth startup environment

## Description

* Collect, parse, and structure diverse data types-including text, images, tables, circuit diagrams, simulations, and signal data-into standardized formats suitable for machine learning applications
 * Design and maintain scalable data pipelines that efficiently handle data ingestion, transformation, and integration into ML workflows, ensuring high throughput and reliability
 * Optimize data storage solutions to balance performance, scalability, and cost-effectiveness, facilitating rapid access and processing of large datasets
 * Collaborate with cross-functional teams, including ML and infra engineers, to curate high-quality training and evaluation datasets aligned with Voltai's product offerings
 * Implement robust data validation and quality assurance processes to ensure the integrity and usability of datasets across various applications., * Data Parsing and Extraction: Expertise in parsing and extracting data from various formats and modalities, including PDFs, HTML, images, and binary files, utilizing tools like BeautifulSoup, pdfminer.six, and custom parsers