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Job Information

General Electric Staff Data Engineer in Schenectady, New York

Job Description Summary

We are looking for a seasoned Data Engineer to join our team within GE Renewable Energy’s Digital Services business. Working as part of the Digital Products organization, you will use your mastery of data tools and techniques to create data infrastructure and pipelines that manage and monitor industrial scale machines that impact our modern lives.

Job Description

Roles and Responsibilities

In this role you will:

  • Share in our mission to unleash limitless clean energy to all corners of our world

  • Build lasting solutions that will monitor and surface critical performance metrics for Renewable Energy assets

  • Wrangle large datasets from Industrial Internet of Things (IIoT) type machines e.g. Wind Turbines, Solar Arrays, Hydro Plants

  • Partner with data scientists, data engineers, reliability engineers, field engineers to design, build, test and deploy data driven solutions to detect (diagnostic) or prevent (prognostic) machine failures

  • Work with team to build and own data and analytics environments, driving data standardization and accessibility

  • Use Root Cause Analysis (RCA) and Failure Mode and Effects Analysis (FMEA) methods to diagnose and troubleshoot system failures

  • Work with highly motivated individuals like yourself to solve complex and interesting data problems that are impactful to our customers

  • Help drive optimization, testing and tool development to improve the quality of our data products

Required Characteristics

  • Bachelor's degree in science, economics, statistics, computer science, mathematics, or similar quantitative field of study

  • Minimum of 5 years of professional experience in a similar data engineering, data analytics or business intelligence role

Desired Characteristics

  • Passionate about data quality and delivering scalable solutions that drive impactful insights for customers and GE Renewable Energy

  • Possess a curiosity to explore how to use data, cutting edge technology and data science tools and techniques to continually add value to our customers

  • Steadfast in creating code that is understandable, simple and clean

  • Welcome the challenge of wrangling new and interesting datasets from disparate sources (IIOT machines, ERP Systems, application APIs etc.) to deliver insights

  • Clear communicator who can explain complex concepts in simple and concise terms

  • Value collaboration within and across teams

  • Motivated to mentor junior engineers in the art and science of your craft and field

  • Experience with Python Data Science toolsets (Pandas, Jupyter Notebooks, Airflow etc.)

  • Experience building, managing, and optimizing distributed data processing systems (e.g. Hadoop, Spark, Hive, Presto, Flink, Kafka etc.)

  • Have a strong background in software engineering (using Python, Java etc.) and can build quality, scalable data solutions

  • Solid experience with building, managing, and using both Relational databases (Postgres, MySQL, Oracle) and non-relational/analytics databases (Cassandra, Mongo, Druid)

  • Experienced at using open file formats (Parquet, JSON, CSV, ORC etc.) and storage technologies (S3, Azure Blobstore, HDFS etc.)

  • Strong background in Data Modeling, Data Architecture and Data Infrastructure Optimization.

  • Experience with software development techniques, tools and processes like source control (Git), Functional or Object Oriented Programing, Test Driven Development, Agile Analytics Development, Functional Decomposition of systems, Continuous Integration/Continuous Deployment (CICD)

  • Experience with system monitoring using tools like Prometheus, New Relic, Elastic Stack, Grafana etc.

  • Familiar with implementing and managing security within data systems

  • Experience with building, deploying, and managing solutions in a container environment (e.g. Docker, Kubernetes)

  • Experience with deploying and managing solutions in the cloud (AWS, Azure, Google Cloud Platform)

  • Ability to consume and create Web APIs (e.g. ReST, gRPC)

Additional Information

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer ( . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

As a federal government contractor, GE requires U.S. employees to be fully vaccinated against COVID-19 unless you receive an approved medical or religious accommodation. Proof of vaccination will be required.

Relocation Assistance Provided: No