> Markdown version of [/jobs/ext/1332336-data-engineer-usa](https://www.wearedevelopers.com/jobs/ext/1332336-data-engineer-usa). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - USA - **Company:** PHOTON, LLC - **Location:** United States - **Experience:** Expert - **Salary:** $46,000.0 - $161,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Batch Processing, Big Data, Cloud Computing, Information Engineering, Data Governance, Data Systems, Data Visualization, Cursor (Graphical User Interface Elements), Data Flow Control, Apache Hadoop, Python (Programming Language), Machine Learning, Cloudera, SQL Databases, Data Streaming, Data Processing, Google Cloud, Google Data Studio, Apache Spark, Data Lakes, Information Technology, Apache Kafka, Data Pipelines, Programming Languages - **Published:** July 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c7398f8e1e9c700b ## About the Role * Educational Background: You have a strong foundation in computer science, data engineering, or a related field, with a focus on big data technologies and cloud platforms. * Technical Skills: You are proficient in programming languages such as SQL, Python, or Java, and have experience with big data frameworks like Hadoop, Spark, or Kafka. You excel in using stream and batch processing frameworks and data visualization tools, and are skilled in implementing data governance practices. * Data Engineering Expertise: You have advanced skills in designing and implementing data pipelines, ensuring data quality and integrity. * AI Tools Usage: You have experience with AI development tools such as Cursor, Copilot, and Claude. * Problem-Solving Ability: You possess strong analytical skills and a knack for solving complex data challenges using innovative approaches. * Collaboration: You are a team player who can work effectively with cross-functional teams, including tech leads and architects, to deliver high-quality data solutions. * Passion for Innovation: You are enthusiastic about leveraging data engineering to drive innovation and enhance user experiences. * Attention to Detail: You maintain high standards for data quality and are committed to delivering robust, scalable solutions. * Continuous Learning: You are eager to stay updated with the latest advancements in data engineering and apply them to improve., * Educational Requirement: Bachelor's degree in Computer Science, Data Engineering, or a related field; a Master's degree is a plus. * Experience: 5+ years in data engineering, big data processing, or a related field. * Technical Proficiency: Strong skills in SQL, Python, or Java, with experience in big data technologies like Hadoop, Spark, or Kafka. Proficient in stream and batch processing frameworks and data visualization tools. Skilled in implementing data governance practices. * Cloud Experience: Proficiency with public cloud platforms, especially Google Cloud Platform (GCP). * Problem-Solving Skills: Demonstrated ability to solve complex problems and implement efficient, scalable solutions. * Collaboration Skills: Experience working with international teams and cross-functional collaboration. * Communication Skills: Strong verbal and written communication skills for effective collaboration with US-based teams. * Continuous Improvement: Eagerness to learn and adapt to new data technologies and methodologies., * Mail Experience: Prior experience working with email systems or related technologies is a plus. * Personal Attributes: Self-driven and detail-oriented, with a passion for tackling challenges. Strong teamwork spirit, excellent communication skills, and the ability to multitask and manage expectations effectively. * Cloud Experience: Experience with public cloud platforms, especially Google Cloud Platform (GCP), is preferred.Technologies: Experience with specific technologies such as DataProc, Dataflow, Composer, Data Lake, Pub/Sub, and Looker Studio. ## Description * Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights. * Innovate and Personalize: Assist in building scalable solutions that identify user interests and habits, contributing to personalized user experiences. * Data Pipeline and Insights Development: Design and implement robust data pipelines using frameworks like DataProc, Dataflow, and Composer. Streamline data processing and orchestration, utilize Data Lake and Pub/Sub for storage and streaming, and create insightful visualizations with Looker Studio to support AI/ML initiatives. * Collaboration: Work closely with cross-functional teams in the USA to integrate data solutions that enhance user experiences. * Data Governance: Implement robust data governance practices to maintain data quality and compliance across the organization. * Optimization: Continuously improve data workflows for efficiency and scalability. * Technical Strategy: Collaborate with tech leads to align data strategies with business goals. * Feedback and Recovery: Implement mechanisms to handle data processing failures gracefully. * Tradeoff Management: Balance cost, quality, and speed in data solutions to optimize performance. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)