Data Engineer

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.

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.

Qualifications

• 5+ years of experience in Data Engineering or related technical fields.

• Advanced proficiency in Python, SQL, and modern orchestration tools (e.g., Airflow, Dagster).

• Strong background in Postgres and other OLTP/relational databases

• Deep experience with data transformation using dbt and working with cloud data warehouses (e.g., Snowflake, BigQuery).

• Extensive experience with GraphQL APIs and integrating diverse data sources.

• Design and implement real-time and batch processing systems using tools such as Apache Kafka, Kafka Connect, and Apache Flink.

• Expertise in building and maintaining cloud-native data infrastructure on AWS.

• Experience in Rust, Go, or similar high performance language.

• Familiarity with MLOps workflows, including feature engineering, data versioning, and model deployment pipelines.

• Strong understanding of data lifecycle, data governance, and CI/CD principles.

• Proven track record of cross-functional collaboration and stakeholder alignment.

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 regulatory data compliance (e.g., SOC2, GDPR) and data governance frameworks.

• Previous customer-facing experience in delivering data solutions with measurable business outcomes.

Benefits & Perks

• Health Insurance; medical, vision, dental, & life insurance.

• Paid Parental Leave.

• Employee Stock Option Plan.

• Team outings, group lunches, open office, happy hours.

• Paid holidays, sick days.

• Flexible Friday and PTO.

• 401K.

First Resonance is an equal opportunity employer dedicated to building an inclusive and diverse workforce.

First Resonance participates in E-Verify. As part of our onboarding process, a new hire's Form I-9 information will be shared with the federal government to confirm they are authorized to work in the U.S.

Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Certain roles may be eligible for incentive compensation, equity and benefits.