Data Engineer Salary at Arbol BETA

NEED LOCAL CANDIDATES ONLY - Inperson Interview is MUST have W2 Only Key skills -Expert on Scala, Spark, Bigdata, DB Brief technical JD below – Spark mandatory and programming in either Java or Scala. More importantly the person needs to be able to drive some program independently. JD: Must have 7+ years of expereince as a Data Engineer. True Hands-On Developer in Programming Languages like Java or Scala . Expertise in Apache Spark . Database modelling and working with any of the SQL or NoSQL Database is must. Working knowledge of Scripting languages like shell/python. Experience of working with Cloudera is Preferred Orchestration tools like Airflow or Oozie would be a value addition. Knowledge of Table formats like Delta or Iceberg is plus to have. Working experience of Version controls like Git, build tools like Maven is recommended. Having software development experience is good to have along with Data Engineering experience.

NEED LOCAL CANDIDATES ONLY - Inperson Interview is MUST have W2 Only Key skills -Expert on Scala, Spark, Bigdata, DB Brief technical JD below – Spark mandatory and programming in either Java or Scala. More importantly the person needs to be able to drive some program independently. JD: Must have 7+ years of expereince as a Data Engineer. True Hands-On Developer in Programming Languages like Java or Scala . Expertise in Apache Spark . Database modelling and working with any of the SQL or NoSQL Database is must. Working knowledge of Scripting languages like shell/python. Experience of working with Cloudera is Preferred Orchestration tools like Airflow or Oozie would be a value addition. Knowledge of Table formats like Delta or Iceberg is plus to have. Working experience of Version controls like Git, build tools like Maven is recommended. Having software development experience is good to have along with Data Engineering experience.

🚀 Foundational Data Engineer – Multimodal AI (Video Focus) We’re working with a AI startup building cutting-edge generative models at the intersection of video, audio, and text. They're looking for a foundational data engineer — someone who can fully own the data stack and help scale their multimodal pipeline infrastructure from the ground up. 🔧 What You’ll Own: Designing and building end-to-end pipelines for video-text multimodal data Creating reliable systems for data ingestion, preprocessing, storage, and serving Working closely with research and infra teams to optimize data flows for training and inference Setting up tooling and processes for experimentation at scale with unstructured data Making core technical decisions on architecture, frameworks, and performance bottlenecks 🎯 What we're looking for: Hands-on experience with video data pipelines — this is a must A background working with multimodal or ML-adjacent systems (vision/audio/text) Experience working in fast-moving, h

🚀 Foundational Data Engineer – Multimodal AI (Video Focus) We’re working with a AI startup building cutting-edge generative models at the intersection of video, audio, and text. They're looking for a foundational data engineer — someone who can fully own the data stack and help scale their multimodal pipeline infrastructure from the ground up. 🔧 What You’ll Own: Designing and building end-to-end pipelines for video-text multimodal data Creating reliable systems for data ingestion, preprocessing, storage, and serving Working closely with research and infra teams to optimize data flows for training and inference Setting up tooling and processes for experimentation at scale with unstructured data Making core technical decisions on architecture, frameworks, and performance bottlenecks 🎯 What we're looking for: Hands-on experience with video data pipelines — this is a must A background working with multimodal or ML-adjacent systems (vision/audio/text) Experience working in fast-moving, h

MLOps and Data Engineer We are hiring for a fast-growing well funded 25 person start-up at the forefront of generative video technology. We’re looking for a Senior MLOps & Data Engineer to join their growing team. What You'll Do Own and evolve our ML data and training pipelines — from ingestion to deployment — ensuring they are scalable, efficient, and reliable Build, deploy, and maintain distributed training jobs (e.g. with Megatron or other frameworks) across multi-node clusters Design and manage robust data processing workflows, supporting both real-time and batch operations Collaborate closely with research and engineering teams to bring ML models from prototype to production Optimize inference pipelines for low-latency, cost-effective serving Monitor and improve system performance, reliability, and security across the ML lifecycle Key Qualifications 4+ years of experience in MLOps, ML infrastructure, or data engineering roles Hands-on experience deploying and maintaining distribut

MLOps and Data Engineer We are hiring for a fast-growing well funded 25 person start-up at the forefront of generative video technology. We’re looking for a Senior MLOps & Data Engineer to join their growing team. What You'll Do Own and evolve our ML data and training pipelines — from ingestion to deployment — ensuring they are scalable, efficient, and reliable Build, deploy, and maintain distributed training jobs (e.g. with Megatron or other frameworks) across multi-node clusters Design and manage robust data processing workflows, supporting both real-time and batch operations Collaborate closely with research and engineering teams to bring ML models from prototype to production Optimize inference pipelines for low-latency, cost-effective serving Monitor and improve system performance, reliability, and security across the ML lifecycle Key Qualifications 4+ years of experience in MLOps, ML infrastructure, or data engineering roles Hands-on experience deploying and maintaining distribut

Onsite Data Engineer (DBT, Python, Snowflake) Full time Austin, TX or Bay Area, CA Job Description: Responsibilities: Build and Optimize Data Pipelines: Analyze and organize raw data from various internal and external sources. Design, develop, and manage scalable, high-performance and resilient data pipelines that process, transform, and make data accessible for real-time analytics and reporting. Data Infrastructure Development: Design, build, and maintain data infrastructure to ensure data is reliable, accessible, and secure for various applications and stakeholders. Implement lake-house architecture. Data Integration: Analyze business use case, perform data profiling and implement data transformations required for curating raw data into AI/ML and BI ready data. Streaming & Batch Processing: Build streaming and batch data pipelines that are reusable, fault-tolerant and scalable. Data Quality & Governance: Implement data integrity validations and data quality checks for ensuring accura

Onsite Data Engineer (DBT, Python, Snowflake) Full time Austin, TX or Bay Area, CA Job Description: Responsibilities: Build and Optimize Data Pipelines: Analyze and organize raw data from various internal and external sources. Design, develop, and manage scalable, high-performance and resilient data pipelines that process, transform, and make data accessible for real-time analytics and reporting. Data Infrastructure Development: Design, build, and maintain data infrastructure to ensure data is reliable, accessible, and secure for various applications and stakeholders. Implement lake-house architecture. Data Integration: Analyze business use case, perform data profiling and implement data transformations required for curating raw data into AI/ML and BI ready data. Streaming & Batch Processing: Build streaming and batch data pipelines that are reusable, fault-tolerant and scalable. Data Quality & Governance: Implement data integrity validations and data quality checks for ensuring accura