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Software Engineer (Data Engineering)

Software Engineer (Data Engineering)

We're looking for a full-time Data Engineer to join us in our mission of bringing the ION Factory OS to next-generation hardware builders around the globe. Our newest recruit will join the First Resonance team in Los Angeles, CA (HQ in Downtown) and become foundational members of the First Resonance team.

Are you excited by the opportunity to assist manufacturers working on eVTOLS, rockets, robots, and autonomous vehicles? The most important characteristic of our product team is their interest and eagerness to support companies that are tackling some of society’s greatest challenges such as climate change, space exploration, and autonomous transportation.

With this role, you will join a diverse team with a wide range of backgrounds and experiences. We pride ourselves on being fast learners, quick-thinkers, and agile executors. While a spur-of-the-moment ping pong tournament is occasionally required, our number one priority is always assisting our ION customers with our manufacturing platform. If you want to play a key role in the future of hardware and Industry 4.0, come join us!

Responsibilities:

  • Design, build, and optimize data pipelines for processing and transforming large volumes of structured and unstructured data.

  • Manage and monitor data infrastructure for reliability, scalability, and performance, collaborating with DevOps for CI/CD support.

  • Leverage dbt to transform, clean, and structure data for analytics, ensuring high data quality across models and pipelines.

  • Integrate external APIs and data sources, including GraphQL APIs, to enrich datasets for analytics and reporting.

  • Utilize AWS services to deploy and manage data infrastructure, ensuring cost-efficient and high-performing cloud usage.

  • Collaborate with internal teams to support data-driven projects, create interactive reports, and enable data access for stakeholders.

  • Oversee and maintain customer-facing data products (e.g., ION Analytics and Autoplan) to meet client needs and quality standards.

Qualifications

  • 3+ years of relevant Data Engineering technical experience.

  • Strong problem-solving and analytical skills.

  • Extensive proficiency in Python and SQL.

  • Experience in modern orchestration tools such as Airflow, Dagster, etc.

  • Proficiency in dbt (Data Build Tool) for data transformations, managing data models, and ensuring data quality within the analytics stack.

  • Experience with GraphQL, including querying, manipulating, and transforming data from GraphQL APIs to integrate into broader data pipelines.

  • Hands-on experience with modern analytics warehouses (e.g. Snowflake, BigQuery, etc).

  • Strong proficiency in AWS services (S3, RDS, EKS, ECR, etc.)

  • Collaborate on large-scale datasets and external API integration for enriched data.

  • Understanding of data lifecycles, data computation principles, data stores and a solid understanding of CI/CD principles.

  • Up-to-date on latest industry trends; able to articulate trends and potential clearly and confidently.

  • Must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

Desired Qualifications:

  • Architect, design, and implement scalable and efficient data pipelines and systems.

  • Familiarity with data governance and how that relates to compliance frameworks such as SOC2, GDPR, etc.

  • Familiarity with Machine Learning (ML) workflows, including data preparation for ML models, training, and model deployment, with a focus on ML infrastructure and MLOps.

  • Expertise in Business Intelligence (BI) tools such as Sigma Compute, Looker, Tableau

  • Familiarity with open-source file formats for storing data, such as Parquet, Avro, etc.

  • Experience with lake house frameworks, such as Iceberg or Delta Lake.

  • Customer-facing experience with data solutions, with an ability to communicate effectively with stakeholders, understand business requirements, and translate technical data solutions into value-driven outcomes.

This role may be a fit for you if you enjoy solving problems with resourceful thinking, collaborating across departments, and flexing your creative muscle. 

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. 

Pay Range

$120,000—$150,000 USD

First Resonance accelerates the speed and reliability of hardware development for companies manufacturing the next generation of hardware products. This includes electric airplanes, autonomous vehicles, robotics, and more. We are a group of software, hardware, and manufacturing engineers that are bringing the best of modern UX and data science to an industry that has been overly rigid in its innovation. We are removing the barriers preventing radical advancement by providing tools to manufacturing engineers and operators to move information more freely, collaborate with their teams more easily, and use the power of data to predict problems and provide insights that result in better hardware quality and delivery.

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Average salary estimate

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$150000K

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What You Should Know About Software Engineer (Data Engineering), First Resonance

Are you ready to take your career to new heights? First Resonance in Los Angeles is on the lookout for a talented Software Engineer (Data Engineering) to become a key player in our mission to revolutionize hardware development for next-generation manufacturers. This isn't just another job; it's an opportunity to jump into a fast-paced environment where you'll be at the forefront of exciting projects involving eVTOLs, rockets, robots, and autonomous vehicles. With your expertise, you'll design and optimize data pipelines that handle everything from structured to unstructured data, ensuring our systems run smoothly and efficiently. Collaborating closely with our diverse team, you'll manage data infrastructure, utilize AWS services, and engage in CI/CD practices, all while promoting data quality and governance. At First Resonance, we value quick thinking and agile execution, so you can expect dynamic teamwork and perhaps the occasional ping pong match. If you’re passionate about solving complex challenges using cutting-edge technology and have a knack for using tools like dbt and GraphQL, you'll thrive here. Join us, and together we will assist our customers in tackling the world's most pressing challenges such as climate change and space exploration. This is more than just a job—it's your chance to leave a lasting impact in the tech world. If you're eager to embrace this exciting role where your skills can shine, we can't wait to meet you!

Frequently Asked Questions (FAQs) for Software Engineer (Data Engineering) Role at First Resonance
What responsibilities does a Software Engineer (Data Engineering) at First Resonance have?

As a Software Engineer (Data Engineering) at First Resonance, you'll be tasked with designing, building, and optimizing data pipelines to manage large volumes of both structured and unstructured data. You will also oversee the data infrastructure's reliability and scalability, collaborate with DevOps for CI/CD support, and integrate various data sources, including APIs. Leveraging tools like dbt and cloud services such as AWS, you'll strengthen our data analytics capabilities to support client needs effectively.

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What qualifications do I need to apply for a Software Engineer (Data Engineering) role at First Resonance?

Candidates for the Software Engineer (Data Engineering) position at First Resonance should have over 3 years of relevant experience, proficiency in Python and SQL, and hands-on experience with modern orchestration tools like Airflow. In-depth knowledge of dbt is essential, along with a solid understanding of data governance principles. Experience with cloud services, especially AWS, and modern analytics warehouses is also a plus.

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How does First Resonance support its Software Engineer (Data Engineering) employees?

First Resonance provides a comprehensive benefits package to our Software Engineer (Data Engineering) employees, including health insurance, paid parental leave, an Employee Stock Option Plan, and generous PTO. We foster a culture of collaboration through team outings, happy hours, and an open office environment, ensuring that our engineers have both the resources and a supportive atmosphere to excel in their projects.

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What is the pay range for a Software Engineer (Data Engineering) at First Resonance?

The pay range for the Software Engineer (Data Engineering) position at First Resonance is between $120,000 and $150,000 USD. This compensation can vary based on the scope of responsibilities, relevant experience, and location, with opportunities for incentive compensation and employee equity as well. We strive to ensure that our offerings are competitive and reflect the value you bring to our team.

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What career growth opportunities exist for Software Engineers at First Resonance?

At First Resonance, the career growth opportunities for Software Engineers, particularly those in Data Engineering, are abundant. Engineers can take on leadership roles in project management, mentor junior developers, or specialize in areas like data architecture or machine learning. Continuous development is encouraged through hands-on projects, access to industry trends, and collaborative team environments that foster innovation.

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Common Interview Questions for Software Engineer (Data Engineering)
Can you describe your experience with building data pipelines?

When answering this question, detail specific projects where you've designed and optimized data pipelines. Highlight the tools you used, such as dbt or orchestration tools like Airflow, and emphasize the impact your work had on the overall data processing efficiency.

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What strategies do you use to ensure data quality in your projects?

Discuss the importance of implementing data validation techniques, using tools like dbt for data transformations, and conducting peer reviews. Sharing examples of how you've successfully ensured high data quality in past projects can add credibility to your response.

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How do you handle collaboration across different teams?

Emphasize your communication skills and willingness to be a team player. Discuss how you’ve worked with cross-functional teams to support data-driven projects, and provide an example of how you've facilitated collaboration among diverse team members in previous roles.

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What are your experiences with AWS services in a data engineering context?

Share your hands-on experience with various AWS services relevant to data engineering, such as S3, RDS, or EKS. Discuss specific projects where these services helped achieve scalability or improved data storage and processing solutions.

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Can you explain your understanding of CI/CD processes?

Clarify your familiarity with CI/CD pipelines and how you've utilized these practices in data engineering tasks. Using specific examples will demonstrate how you maintain a high-quality codebase and streamline deployment processes within the data infrastructure.

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How do you approach integrating external data sources into your data pipelines?

Talk about your experience integrating APIs, including GraphQL APIs, into data workflows. Provide a specific situation where you enriched data sets with external data sources and how this added value to the analytics.

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What experience do you have with data governance and compliance frameworks?

It's crucial to show an understanding of data governance principles and compliance frameworks such as SOC2 or GDPR. Discuss any relevant experience you have in ensuring data practices align with these frameworks, especially in relation to protecting user privacy and data integrity.

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How have you utilized business intelligence tools in your previous roles?

Highlight your proficiency with BI tools like Tableau, Looker, or Sigma Compute. Share a project where these tools aided in generating insightful reports that influenced decision-making within the organization.

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Can you describe how you keep up with industry trends in data engineering?

Express your commitment to continuous learning by mentioning resources such as online courses, industry-specific blogs, or conferences. Share how staying informed has positively impacted your work and contributed to innovative solutions.

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What do you consider the most challenging aspect of data engineering, and how do you overcome it?

Talk about specific challenges you've faced, such as managing large-scale data sets or ensuring data accuracy. Discuss your problem-solving skills and the strategies you've employed to overcome these obstacles, showcasing your resilience and adaptability.

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Inclusive & Diverse
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Inclusive & Diverse
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Growth & Learning
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To connect and supercharge the builders of the physical world.

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Full-time, on-site
DATE POSTED
March 12, 2025

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