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Data Engineer

Job in Snowflake, Navajo County, Arizona, 85937, USA
Listing for: Hypercube
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below
Location: Snowflake

Hypercube Consulting is the leading technology partner for the energy sector. We’re building a world‑class team of data experts with deep domain knowledge in all things energy.

To get a better understanding of how we think and some of the ways we work, check out our founder’s blog here:

As a data engineer, you will truly understand a client’s requirements to build, test and deploy data solutions that help customers deliver more value from their data. You’ll get stuck into the end‑to‑end data workflow – everything from realtime event streaming to big data analytics using modern tools across a range of technology stacks – with the opportunity to develop production‑grade solutions using the most current technology.

Key Responsibilities

Requirements Gathering – Understand and translate end‑user requirements into designs and delivery plans for effective data solutions.

Data Platforms & Pipelines – Develop, test, deploy, and maintain highly automated data platforms, pipelines and applications using modern cloud technologies.

Data Quality – Analyse and resolve data quality issues.

Communicate Effectively – Produce high‑quality communications, documentation, and presentations of solutions for colleagues.

Commercial, Pre‑Sales & Outreach – Working with the business development team to shape and win new projects. Contribution to Hypercube’s blog and other outreach efforts.

Technical Skills & Experience

We understand that this list is extensive – please apply if you fit some or only part of it; we’re flexible and are mostly looking for bright people that can adapt as the role grows. We want to see the broadest range of possible candidates from a diverse mix of backgrounds. Technical skills are only part of the equation.

Ideally, you will have hands‑on experience with the following in a previous role:

  • Python
  • SQL
  • Data Lakes/Lake houses and analytical tools (Databricks, Azure Fabric/One Lake, AWS Lake Formation, Spark, Athena, etc.)
  • CI/CD and other Dev Ops practices such as IaC
  • Testing

Additional experience with the following would be beneficial but not essential:

  • Data Warehousing (Snowflake, Redshift, Synapse, Big Query, etc.)
  • Relational, No

    SQL, graph and vector databases
  • Containers and related services (Docker, Kubernetes, container Registries, etc.)
  • Orchestration tools – Apache Airflow, Prefect or cloud‑native tools
  • Backend software development (Java, APIs, scalability, logging and monitoring, etc.)
  • MLFlow and other MLOps / Machine Learning Engineering processes to support advanced analytical use cases
  • LLMs and Agentic AI
  • BI tools such as Tableau / Power BI
Other desirable skills and experience:
  • Building projects or sharing knowledge in public – whether that be contributing to open source, blogging, You Tube, content creation, speaking at events, or similar.
  • Experience translating designs of data solutions into action
  • Analysis/requirements gathering, solution design, and implementation of data platform and cloud technologies
  • Experience in collaborating in multi‑disciplinary teams, including software engineers, Dev Ops and infrastructure teams, AI/ML engineers, data scientists, etc.
  • Experience in implementing integrations of data platforms to various types of external and on‑premises systems
  • Exceptional communication skills, both written and verbal – able to translate complex technical subject matter into easily understood presentations and written documentation for mixed technical audiences.
What’s in it for you?

High Impact: Solve difficult problems for leading energy players tackling net‑zero challenges.

Flexible Working: Remote/hybrid, part‑time or condensed options – we measure outcomes, not chair‑time.

Personal Brand: We sponsor conferences, blog posts and OSS work – your thought‑leadership is encouraged.

Start‑Up Energy, Consultancy Rigour: Best of both worlds – fast decisions, minimal bureaucracy, clear processes.

  • Pension
  • Performance related bonus
  • Enhanced Maternity/Paternity
  • Cycle to work scheme
  • Events and community
  • Private health insurance
  • Health cash plan
  • EV leasing scheme
  • Training and events budget
Diversity & Inclusion

Hypercube aims to mirror the diversity of wider society. We welcome applications from all backgrounds and guarantee…

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