Senior Data Engineer

Precision Castparts Corp. (PCC) is the market leader in manufacturing large, complex structural investment castings, airfoil castings, forged components, aerostructures, and highly engineered, critical fasteners for aerospace applications. In addition, we are the leading producer of airfoil castings for the industrial gas turbine market. We also manufacture extruded seamless pipe, fittings, forgings, and clad products for power generation and oil & gas applications; commercial and military airframe aerostructures; and metal alloys and other materials for the casting and forging industries. With such critical applications, we insist on quality and dependability – not just in the materials and products we make, but in the people we recruit.

Headquartered in Portland, Oregon, PCC is a multi-billion-dollar company employing more than 20,000 people worldwide. PCC has over 120 plants spread across twenty-six states in the US and over a dozen countries. PCC is relentless in its dedication to being a high-quality, low-cost, and on-time producer, delivering the highest value to its customers and shareholders while continually pursuing strategic, profitable growth. PCC was acquired by Warren Buffet-led Berkshire Hathaway in February 2016.

The Data Engineer delivers data to internal customers to enable actionable analytics. The data to be delivered includes raw data, transformed data, integrated data, in either batch or streaming mode, and must be tailored to meet the various business use-cases and downstream applications. To meet these needs, the Data Engineer must command a broad set of skills that span CDC, ETL, big data frameworks, API integration, IoT, data warehousing, business intelligence, and machine learning.

Primary Duties and Responsibilities:

• Lead efforts to centralize and integrate multi-plant/system data within the enterprise data lake
• Develop and maintain efficient ingestion and transformation pipelines
• Monitor data pipelines and ensure they meet quality and timeliness SLAs
• Partner with data stewards, analysts, and scientists to ensure data is fit-for-purpose
• Partner with business unit leadership to provide strategic recommendations to maximize the value of information assets via their creation, access, and use
• Support data governance and master data initiatives

Experience and Education:

• 3 years experience as a data engineer or similar role such as data developer, data architect, ETL developer, integration specialist, etc. (5+ years preferred)
• Master’s degree in data engineering, data science, analytics, computer science, or a related field (or equivalent job experience)
• Preferred to have at least one related certificate such as Certified Analytics Professional, Azure Data Engineer Associate, AWS Big Data Specialty, etc.

Required Skills:

• Highly motivated and independent learner
• Experience building data pipelines in cloud environments
• Experience with big data frameworks (e.g. Hadoop, Cloudera, Databricks, etc.)
• Deep understanding of database systems, including relational, time-series, and NoSQL
• Experience ingesting data from various sources such as databases, REST, IoT devices, etc.
• Fluency in a SQL language
• Fluency in a data preparation scripting language (Python preferred)
• Experience with a data visualization tool (Power BI preferred)
• Occasional travel to support sites, attend team meetings, and for training. Travel up to 15%.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.