Sr. Data Engineer

Sunnyvale, CA

Founded in 2015, Acubed is the Silicon Valley innovation center of Airbus. As a global leader in aerospace, Airbus aims to make things fly. Our mission is to provide a lens into the future for the industry, transforming risk into opportunity to build the future of flight now.

At Acubed, we strive to propel innovation to market faster, broaden the talent pool in emerging aerospace careers and simultaneously help drive a culture change across Airbus.

ADAM 

The Advanced Digital Design and Manufacturing (ADAM) project seeks to accelerate Airbus’ transition towards digital design and manufacturing. The team is uniquely positioned to identify and innovate on emerging technologies with collaborators in Silicon Valley and across the globe. ADAM provides a platform to drastically reduce aerospace product lead-times and production costs. Through our tool-agnostic framework, we integrate existing and newly developed software solutions. We provide easy-to-use tools to design and automate processes in aerospace manufacturing.

The Opportunity

ADAM’s data team is responsible for the curation and maintenance of large amounts of structured and unstructured data. As a Data Engineer, you will work on the development and support of scalable data platform solutions, decentralized data ownership, data catalogs and the enablement of data consumption through the development of automated data pipelines, data ingestion and processing.
Your role will be to assist the Head of Data and the team in exploring new and innovative solutions to create a modern data platform paradigm to support product creation and logistics.
You are comfortable using supplied problem definitions to make informed decisions regarding implementation and tools, and enjoy working in an agile work environment, where quick delivery, constant testing and iteration are the norm. As our projects are “outside-the-box” by design, you are someone who will naturally seek, investigate and implement creative solutions to challenges and obstacles that emerge.

Responsibilities

  • Design and build scalable solutions for our data platform
  • Collaborate with other teams to suggest and develop data ingestions workloads 
  • Develop scripts, mappings and toolings for data integration in enterprise knowledge graphs
  • Implementing components for metadata enrichment, graph database operations, automated pipeline, deployment and serving
  • Maintain the integrity and quality of our data

Requirements

  • Solid experience (3-5) years in data pipeline engineering 
  • Graduated from M.S. or Ph.D. engineering program in computer science, computer engineering or a related discipline
  • Demonstrated ability to write clear, well-structured and well-documented code
  • Proficiency in Python
  • Experience with scalable SQL and No-SQL database systems
  • Personal drive and intellectual curiosity to do what hasn’t been done before, coupled with an appreciation for overcoming challenges 
  • Documented proof of fully vaccinated status required (or qualify for an exemption)

Preferred Qualifications

  • Good communication skills
  • Hands-on experience with workflow orchestration tools such as Kubeflow, Airflow, Apache Arrow
  • Experience in statistics and machine learning
  • Experience in best practices in table partitioning/data sharding strategies and query optimization
  • Familiarity with micro-service architecture and deploying APIs on Kubernetes
  • Experience in cyber security or data privacy

Benefits

  • Exceptional PPO medical, dental and vision benefits 100% of premiums covered for employee and their family/dependents
  • Generous PTO of 5 weeks (6 weeks after two years) in addition to 11 national holidays and unlimited paid sick days 
  • Professional development reimbursement or $15,750 for flight training
  • 3 months paid parental leave from Day 1
  • Employee discounts through Airbus Tickets @Work, gym subsidy/membership and more

* Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.