Data Engineer

Rhythm Energy•Houston, TX

3d•Hybrid

About The Position

We’re hiring a Data Engineer to help build and scale the data platform that powers Rhythm’s core business operations across energy markets, customer lifecycle, and internal decision-making. You’ll work across the full data stack — from ingestion and pipeline reliability to data modeling and delivery — ensuring teams across Finance, Retail, Wholesale, Marketing, and Operations have accurate, timely, and scalable data. This role sits at the intersection of Data, Engineering, and the business. You’ll partner directly with stakeholders to understand how data is used across the company and design systems that support those needs reliably and at scale. In the near term, a key focus will be integrating data systems across regions following a recent acquisition, helping unify platforms and improve data consistency across the business. This is a broad, hands-on role in a startup environment — ideal for someone who enjoys working across systems, owning problems end-to-end, and operating with a high degree of autonomy. You Might Be a Great Fit If You’ve built and maintained data pipelines in production and enjoy owning systems end-to-end, not just parts of them You’re comfortable working across the data stack — ingestion, transformation, modeling, and supporting downstream use cases You enjoy working closely with stakeholders and can translate business needs into scalable data solutions You’re proactive about communication — you don’t stay blocked, and you reach out early to unblock yourself or others You’ve worked in startup or high-growth environments where priorities shift and breadth matters more than narrow specialization You care about building systems that multiple people can use and maintain, not just solutions optimized for yourself

Requirements

3–6+ years of experience in Data Engineering or similar roles, with hands-on ownership of data pipelines in production
Strong experience with Python and SQL
Experience working with large datasets in distributed environments (e.g., Spark, Databricks, or similar)
Solid understanding of data modeling and transformation best practices
Experience working in cloud-based environments and familiarity with cloud data concepts
Ability to work cross-functionally and communicate effectively with both technical and non-technical stakeholders
Proven ability to operate independently without close supervision in a fast-paced environment

Nice To Haves

Experience with Databricks and Delta Lake
Familiarity with AWS and cloud-based data architectures
Exposure to BI tools and analytics delivery
Experience working with operational, financial, or customer lifecycle data
Interest in machine learning or advanced analytics

Responsibilities

Build and maintain scalable data pipelines using Python, SQL, and Spark-based frameworks (e.g., Databricks), ensuring reliability and performance at scale
Work across the full data lifecycle, including ingestion, transformation, modeling, and enabling downstream analytics and BI use cases
Partner with stakeholders across Finance, Operations, Marketing, and Product to understand data needs and deliver solutions that drive business decisions
Own projects end-to-end — from problem definition and data exploration to implementation, deployment, and iteration
Improve performance and scalability of distributed data systems, including optimization of pipelines and transformations
Help define and evolve data models that support multiple use cases across the business
Collaborate closely with other engineers through code reviews, shared ownership, and system design discussions
Contribute to a transparent engineering culture where problems are surfaced early and solved collaboratively, focusing on improving systems rather than assigning blame

Benefits

Our culture: We’re friendly, transparent, and love to innovate together.
Flexible work-life balance: We embrace a mix of working remote and from the office.
Professional development opportunities: We support your growth across technical and business domains.
A chance to make a difference: We’re a sustainably driven company rethinking what’s possible in energy.

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