Data Engineer

Data Engineer

This job is no longer open

About Rhythm

Rhythm is a renewable energy and technology company empowering you to take control of your budget and your footprint.  We combine energy market expertise with technology, design, and data science to create best-in-class products and services that are simple, delightful, and seamlessly integrated with the rhythm of your life. Our mission is to upend the energy status quo by setting a new standard of service excellence and customer partnership. We are a mission-driven, results-oriented group of engineers, business people, designers and artists who love solving tough problems, all while making a positive impact on our communities.

About the Data Engineer

The ideal candidate loves being hands-on with data. You love building and maintaining the systems that see data orchestrated throughout its entire lifecycle, from source system to integrated warehouse, to data science models, and finally to a business intelligence environment where it is surfaced. You have extensive experience building batch and streaming data pipelines to ingest data, and managing complex ETL dependencies using tools such as Airflow. You like sitting at the intersection of data science and engineering, and are willing to jump on whatever task needs doing, whether it’s troubleshooting a task queue or helping a business user understand the data they’re seeing in a dashboard. At the end of the day, you’re a team player, and are motivated by our mission to make saving money with clean, renewable energy simple for our customers.

Responsibilities

  • Work with our Engineering team to maintain the pipelines through which we ingest data into our Snowflake data warehouse, from both internal and 3rd-party platforms 
  • Own the ETL pipeline through which that data is transformed, managing complex data and timing dependencies and a mixture of SQL and python-based transformations
  • Be an expert in not only the orchestration but the nature of our data, understanding how it is integrated from disparate systems and built up into the business objects that our team and our customers depend on
  • Build out a streaming pipeline for customer events, enabling real-time intelligence within our platform and situational awareness for our marketing and operations teams
  • Contribute to our BI environment, Looker, and support our business users in their use of it
  • On occasion, contribute to our data applications, writing data-driven python-based services
  • Be a champion for Rhythm’s mission and values, both at work and in your community

Qualifications

  • 2+ years of Data Engineering experience
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases
  • Experience with data pipeline and workflow management tools: Airflow, DBT, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Athena, Glue
  • Expertise with Python, specifically with Pyspark and Pandas
  • Expertise architecting and managing data warehouses (we use Snowflake)
  • Experience supporting data warehouse BI tools (we use Looker)
  • Excellent written and verbal communication skills
  • Excellent organizational skills, and a willingness to work hard and jump on whatever the team needs
  • Retail Electricity experience, a plus
  • Experience building, monitoring, and maintaining scalable ML pipelines, preferably on AWS (SageMaker) is a plus
  • Bachelors degree in CS or a quantitative field preferred

Geography

  • Rhythm is headquartered in Houston, Texas 
  • Remote candidates will be actively considered, but preference will be given to candidates in the Houston area
  • Travel required <5%

Compensation and Benefits

  • Competitive base salary, bonus and equity
  • Complete benefits package including:
    • Flexible work schedule and remote work options
    • Unlimited PTO
    • Leave programs for all of life’s moments: maternity/paternity/medical
    • Medical, Dental, Vision and Prescription Drug Coverage
    • 401(k) Retirement Savings Plan
    • Flexible Spending and Health Savings Accounts

 

This job is no longer open
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