Staff Data Engineer

Number of employees

1010

Houston, TX, USA, USA

Posted on: 2024-08-22

Category: energy

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Fluence is the leading global energy storage technology and services company, created and backed by Siemens and AES, two industry powerhouses and pioneers in energy storage. Fluence unites the scale, experience, breadth, and financial backing of the two most experienced icons in energy storage.

Our mission is to create a more sustainable future by transforming the way we power our world. Energy storage is critical to this transformation, yet today the market is fragmented and customers face the challenge of finding a trusted technology partner amidst conflicting technical claims, inexperienced vendors and installers, and new market entrants with limited power sector knowledge.

Fluence brings the proven technology solutions and services that overcome the commercial and regulatory barriers that stand in the way of modernizing our energy networks. We are the partner that can deliver at a global scale with the most experienced and knowledgeable team in the world.

This position will be supporting the Fluence Mosaic team. Fluence Mosaic team’s software technology uses artificial intelligence, advanced price forecasting, portfolio optimization and market bidding to ensure energy storage and flexible generation assets are responding optimally to price signals sent by the market.
You will be an integral member of the Fluence Mosaic team, maturing, developing, and maintaining a data ingestion and storage platform which serves our trading, forecasting, reporting, and analytical applications.
The position will be based in Fluence’s Houston office, with close interaction with a global team of data scientists, product managers, and subject matter experts to shape the evolution of our company and the future of the electricity grid.

What does a Staff Data Engineer do at Fluence?

  • Build, test, scale, and refine data ingestion pipelines across our energy market data platform
  • Design, develop, and maintain systems for querying and processing data, working with data scientists and software engineers to drive efficient solutions 
  • Build and own data frameworks and libraries, supporting others in deploying, operating, and extending upon your clean, tested code
  • Help define our data story and enable data-driven solutions at Fluence Mosaic, both technically and culturally
  • Work with on-call staff, data scientists, software engineers and customer teams to trouble-shoot and debug data pipelines
  • Help define data management strategy.
  • What does the ideal candidate look like?

  • 10+ years of professional software engineering experience with at least 5+ years of data engineering experience
  • Excellent written and verbal communication skills
  • Expert in Python, with hands on experience with data engineering tools such as Pandas 
  • Knowledgeable in at least one other programming language (C/C++, Kotlin, Java) with the ability to adapt to new environments
  • Expert in SQL with a strong understanding of database design, data modeling, and query tuning with hands on experience ingesting, storing and serving time-series data preferred
  • Hands on knowledge of PostGres
  • Experience building Restful services
  • Understanding of automated testing
  • Experience with containerization technologies such as Docker
  • Experience on setting up deployment process, and tools
  • Knowledge of available data streaming platforms, distributed compute frameworks, and file storage formats with the expertise to apply their use to meet our organizational needs
  • Experience building data pipelines with stringent latency and correctness requirements
  • Hands on experience working with the AWS cloud and AWS services such as S3, Aurora, RDS, EC2, Lambdas, etc. 
  • Strong computer science fundamentals, including knowledge of data structures and algorithms 
  • Proven ability to meet deadlines and deliver solutions quickly at high quality 
  • Passionate about learning, and tackling new and exciting technical challenges 

  • Nice to haves:
  • Working knowledge with Terraform 
  • Experience with BI tools such as Looker, PowerBI
  • Experience with vizualization tools in the python ecosystem such as matplotlib, plot.ly, etc
  • Experience working with Data Science teams
  • Experience working with data warehouses such as Snowflake
  • Experience with Cassandra or Scylla
  • Experience using Kubernetes
  • Energy industry experiences
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