The Rackspace FinOps group enables cloud users to align their cloud technology adoption with their business strategies. We advise many of the world’s largest AWS, GCP, Azure, and other Cloud consumers on topics ranging from cloud architecture to organizational governance to cloud economics, driving efficient cloud adoption and usage for our clients.

 

The FinOps Data Engineer role is an exciting opportunity to build solutions that will help us and our clients turn complex multi-cloud cost and performance datasets into actionable insights. This is an opportunity to make an impact on a fast-growing team. You’ll be instrumental in creating new and better analytics and ML solutions, and generally innovate to drive new value for our clients.

 

The FinOps Data Engineer will work heavily with AWS services like S3, Redshift, Glue, Lambda, EC2, etc.

 

 

Build robust Data Lakes, Data Warehouses, and data pipelines

Build complex ETL code

Work with various data sources including multi-cloud cost and usage data, CRMs, internal DBs (SQL, DynamoDB, Redshift, etc.), third-party sources (SAP, Oracle, Salesforce), etc

Architect, launch, and manage internal analytics infrastructure including databases, servers, and BI tools in a scalable, performant, and cost efficient manner

Work with FinOps Data Scientists to build models in SQL and/or using statistical languages (R, Python, etc)

Design and launch ML pipelines and models (build-your-own or using tools like Snowflake)

 

 

●      3+ years of proven experience working with big data, datalakes, data pipelines, and data warehouses

●      2+ years of DevOps and database architecture experience

●      Expertise in Python required, proficiency with other relevant languages like R or Java are a plus!

●      Proficient with AWS big data toolsets including Redshift, MySQL and Postgresql databases, Glue, AWS EMR, S3, and IAM considerations

●      Experience with big data tools like Snowflake, Databricks, EMR/Hadoop, or others is a plus

●      Demonstrated knowledge of software development tools and methodologies

●      Demonstrated ability to adapt to new technologies and learn quickly

●      Familiarity with cloud cost analysis and cloud economics (pricing models, financial instruments, etc)

●      BS in Computer Science/math/engineering or equivalent degree

●      Client-facing experience and public speaking ability is a plus

●      Experience building ML models or the desire to learn is a plus

 

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

 

Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.