Who are we and why this opportunity?
SparkCognition, Inc. delivers world-class AI solutions that allow a business to solve their most critical problems, empowering them to run a more sustainable, safer, and profitable business. Our award-winning AI solutions predict future outcomes, optimize processes, and prevent cyberattacks. We partner with the world’s industry leaders to analyze, optimize, and learn from data. We augment human intelligence, drive profitable growth, and achieve operational excellence.
Drive change and create a footprint. Learn more at: SparkCognition
Position Summary:
SparkCognition’s Renewable Suite is the world's leading AI enabled SaaS platform that provides asset performance management and prescriptive analytics software to ever growing renewable energy power plants by combining the power of machine learning, big data, and deep domain expertise. Our platform works across multiple asset types such as wind, solar, storage and DC coupled assets to offer insights to our customers across their fleets. As a Data Engineer you will be working closely with team members across domains with deep technical skills and passion for clean energy.
Join us in:
- Bringing large volumes of data from wind, solar, storage sites to cloud
- Architecting scalable data ETL and MLOps pipelines and workflows
- Work on engineering projects to design, construct, install, test and maintain highly scalable data management systems
You’ll have:
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Experience with Python
- 2+ years of experience building and optimizing ‘big data’ data pipelines, architectures
and data sets. Startup experience a plus - Experience building ETL pipelines from large disconnected datasets.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational databases such as Postgres
- Experience with Elasticsearch a plus
It would be great if you had:
- Experience in renewable energy or IoT time series data
- Experience in workflow orchestration technologies like Airflow or Prefect
- Experience with AWS cloud services: EC2, EMR, S3, RDS, Redshift or experience with GCP
SparkCognition is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.
SparkCognition prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
SparkCognition is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
