Senior Data Engineer

Position Overview

• Location Type: OnSite
• Job Type: FullTime
• Salary: $150K - $180K

First Resonance is seeking a Senior Data Engineer to join our mission of bringing the ION Factory OS to next-generation hardware builders around the globe. This is a full-time opportunity based in our Los Angeles HQ. As a senior member of our engineering team, you'll play a pivotal role in shaping the data infrastructure that empowers manufacturers working on electric aircraft, autonomous vehicles, robotics, and space systems. We’re looking for a hands-on engineer who thrives on building robust, scalable systems and is passionate about supporting the future of hardware through intelligent data solutions and advanced AI techniques. If you're excited about climate innovation, space exploration, and the power of data to transform manufacturing, this is your place.

Requirements

• Experience: 5+ years of experience in Data Engineering or related technical fields.
• Programming Languages: Advanced proficiency in Python, SQL.
• Orchestration Tools: Strong experience with modern orchestration tools (e.g., Airflow, Dagster).
• Databases: Strong background in Postgres and other OLTP/relational databases.
• Data Transformation: Deep experience with data transformation using dbt.
• Cloud Data Warehouses: Extensive experience with cloud data warehouses (e.g., Snowflake, BigQuery).
• APIs: Extensive experience with GraphQL APIs and integrating diverse data sources.
• Real-time/Batch Processing: Expertise in building and maintaining real-time and batch processing systems using tools such as Apache Kafka, Kafka Connect, and Apache Flink.
• Cloud-Native Infrastructure: Expertise in building and maintaining cloud-native data infrastructure on AWS.
• Rust/Go: Familiarity with Rust, Go, or similar high-performance languages.
• MLOps: Familiarity with MLOps workflows, including feature engineering, data versioning, and model deployment pipelines.
• Data Governance: Strong understanding of data lifecycle, data governance, and CI/CD principles.

Responsibilities

• Architect, build, and maintain scalable data pipelines for structured and unstructured data across cloud-native infrastructure.
• Collaborate with DevOps to manage and optimize data infrastructure for performance, cost-efficiency, and reliability.
• Implement robust data modeling and transformation ensuring data quality and lineage across our analytics ecosystem.
• Architect and support the various data requirements from numerous internal and external systems.
• Collaborate on building Agentic AI frameworks and ensuring the supporting tools and data infrastructure are in place.
• Partner with product, engineering, and analytics teams to enable data access and deliver customer-facing data products.

Desired Qualifications

• Experience designing Agentic AI architectures and systems and/or deploying MCP servers to support Agentic workflows and systems.
• Knowledge of lake house architectures (e.g., Delta Lake, Apache Iceberg) and open data formats (Parquet, Avro).
• Expertise with BI tools such as Looker, Sigma, or similar.
• Familiarity with LLMOps including the deployment, monitoring, and optimization of large language models in production environments.
• Understanding of data quality and monitoring techniques.