Senior Data Engineer

Senior Data Engineer

Location: Houston, Texas

    Alpharetta, Georgia

      Arlington, Virginia

ABOUT FLUENCE 

Fluence, a Siemens and AES company, is the global market leader in energy storage products, services, and digital applications. The Fluence Mosaic Platform helps energy storage and renewable asset owners maximize revenue in wholesale electricity markets through AI-enabled optimized bidding software. Through our products and services, Fluence is helping customers around the world drive more resilient electric grids and a more sustainable future.

OUR CULTURE AND VALUES

We are guided by our passion to transform the way we power our world. Achieving our goals requires creativity, diversity of ideas and backgrounds, and building trust to effect change and move with speed.

We are Leading 

Fluence currently has 6.6+ GW of energy storage projects operated or awarded worldwide in addition to the 20.7+ GW of AI-optimized Renewables and Storage projects managed by our trading platform—and we are growing every day. 

We are Responsible 

Fluence is defined by its unwavering commitment to safety, quality, and integrity. 

We are Agile 

We achieve our goals and meet our customer’s needs by cultivating curiosity, adaptability, and self-reflection in our teams.

We are Fun 

We value the diversity in thought and experience of our coworkers and customers. Through honest, forthcoming, and respectful communications we work to ensure that Fluence is an inclusive and welcoming environment for all. 

ABOUT THE POSITION:

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.

Key role responsibilities include:

•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 will our ideal candidate bring to Fluence? 

•5+ years of professional software engineering experience with at least 3+ 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

•Excellent 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

APPLY

Fluence uses LinkedIn Talent Hub to manage our recruitment process. To be considered for this and all roles at the company, applicants must apply directly on LinkedIn here.

Fluence IS AN EQUAL OPPORTUNITY EMPLOYER and fully subscribes to the principles of Equal Employment Opportunity to ensure that all applicants and employees are considered for hire, promotion, and job status without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, marital or familial status.