Data Engineer
WFA Digital Insight
Luxor’s Data Engineer position sits at the crossroads of cryptocurrency mining and large‑scale data infrastructure. Unlike generic data roles, this job demands experience with both streaming and batch pipelines that feed real‑time compute‑power markets. Candidates will be expected to shape the architecture of a platform that powers gigawatts of mining hardware, meaning every schema decision has direct financial impact. The team operates fully remote, so self‑direction and strong communication are essential. Familiarity with blockchain‑related data streams and cloud‑native database administration will set applicants apart, while the chance to influence a nascent asset class adds a rare technical‑strategic dimension.
Job Description
ABOUT LUXOR Luxor is the leading software and services provider for Bitcoin miners and the broader compute industry. Our full-stack platform supports gigawatts of compute infrastructure, giving operators the tools to monetize their compute, optimize and trade hardware, access financial instruments, and manage energy. We believe that compute power is becoming the world’s next major commodity and our products are built to support this shift. Our goal is to become the leaders in harnessing, refining, and trading compute, unlocking a new asset class for the world’s most important digital resource. As Luxor continues to scale rapidly across software, hardware, financial, energy and cloud infrastructure products, every team member has the opportunity to shape mission-critical systems, influence company-wide strategy, and contribute directly to the future of the compute economy. ROLE DESCRIPTION We are looking for a Data Engineer to join our collaborative, and fast-moving team to work on one of the most rewarding projects in the mining and compute industry. BASIC REQUIREMENTS - Experience building both streaming & batch data pipelines/ETL and familiarity with design principles.
- Expert in Python, PostgreSQL, and PL/pgSQL development and administration of large databases with focus on performance and production support on native cloud deployments.
- Experience with scalability solutions and multi-region replication and failover solutions.
- Experience with data warehouse technologies (Trino, Clickhouse, Airflow, etc).
- Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering, or a related technical discipline or equivalent experience.
- Deep understanding of programming and experience with at least one programming language.
- English language proficiency.
- Knowledge of blockchain technology / mining pool industry.
- Experience with agile development methodology.
- Experience delivering and owning web-scale data systems in production.
- Experience working with Kafka, preferably redpanda & redpanda connect.
- Has an interest in creating an entirely new market with Hashrate (compute power) as a commodity.
- Has an interest in thinking and evolving the architecture of our software to make it robust and maintainable.
- Enjoys writing code and pushing boundaries of what has been done so far.
- Brings fun to the team but can also go own the rabbit hole to push quality code on schedule.
- Govern scalable & performant cloud-deployed production relational and non-relational databases.
- Collaborate on architecture definitions, always thinking of solutions that are scalable and secure.
- Drive data systems to be as near real-time as possible.
- Design, document, automate and execute test plans to ensure the quality of the datasets.
- Participate in the process of generating and analyzing features.
How to Stand Out
- Highlight any production‑grade Python and PostgreSQL projects in your resume, especially those involving performance tuning.
- Build a small end‑to‑end data pipeline demo (e.g., ingesting mock mining data into a PostgreSQL table) and include the code link in your application.
- Familiarize yourself with Luxor’s compute‑commodity model; be ready to discuss how data quality impacts financial decisions.
- During interviews, emphasize experience with streaming platforms like Kafka or Redpanda and describe specific scaling challenges you solved.
- Ask about on‑call rotation expectations and remote work tooling to ensure the schedule aligns with your lifestyle.
- When negotiating, consider equity and remote‑work stipends as part of the total compensation package.
- Watch for vague descriptions of “ownership” without clear escalation paths; clarify team structure and decision‑making authority early.
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