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Data Engineer
Data EngineerApplied Digital • Dallas, TX, United States
Data Engineer

Data Engineer

Applied Digital • Dallas, TX, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Primary Location : Dallas, North Dakota, Minnesota, South Dakota, Denver, Chicago, Seattle (with up to 25% travel)

About Applied Digital :

At Applied Digital, we are the epicenter of AI innovation, crafting cutting?edge data center solutions tailored for the demands of high?performance computing. Designed from the ground up to support AI and machine learning workloads, our infrastructure is the backbone of tomorrows technological advancements, including AI?driven video and generative platforms.

We are :

  • Forward?Thinkers : With a keen eye on current market trends and future innovations, we adapt swiftly and lead technological evolution.
  • Resilient : We navigate complex challenges and emerge stronger, delivering robust and reliable solutions for industry pioneers.
  • Innovative Designers : Leveraging the latest technologies, we create visionary solutions that redefine industry standards.

At Applied Digital, we are committed to solving intricate problems, advancing business initiatives, maximizing operational efficiency, and reducing our carbon footprint. We are a team of resilient, forward?thinking innovators driving the AI revolution.

Position Summary

Applied Digital is seeking a mid?level Data Engineer to join our growing Software and IT organization. This role will support the build?out and operation of our on?premises data platform (MinIO + IOMete). The ideal candidate will be a self?sufficient data engineer who can contribute across the full stack, integrate with robust backend systems to power their data delivery, and collaborate across disciplines to deliver high?quality insights aligned with business objectives.

This role will play a key part in supporting initiatives such as the Data Hub, analytics, and dashboard / report generation. You will work closely with the Data Engineer Lead, the Data Center IT Team, and end users across the enterprise to ingest, process, govern, and deliver data that supports both operational and analytic use cases.

Key Responsibilities

  • Assist in building and maintaining the on?premises data lake and Lakehouse environments (MinIO, IOMete, Apache Spark, Apache Kafka).
  • Develop, test, and deploy ETL / ELT pipelines for ingesting data from operational systems, APIs, and batch sources.
  • Collaborate with data analysts, engineers, and business stakeholders to understand requirements and translate them into effective visual solutions.
  • Design, develop, and maintain interactive dashboards and reports using Power BI, Tableau, and other visualization platforms.
  • Optimize dashboard performance and ensure scalability across large datasets and multiple user groups.
  • Implement best practices in data visualization, including accessibility, usability, and storytelling techniques.
  • Contribute to user training and documentation in support of adoption and self?service analytics.
  • Stay current with emerging data engineering technologies and recommend enhancements to existing tools and processes.
  • Basic Qualifications

  • Bachelors degree in computer science, Data Science, Information Systems, or related field, or equivalent on?the?job experience. A degree is not required if professional experience sufficiently demonstrates key competencies.
  • 4+ years of experience in data engineering, data pipeline development, or backend engineering.
  • 2+ years of experience with modeling, report development, and dashboard deployment in a modern data visualization tool (Power BI, Tableau, Looker, Qlik, or similar).
  • Experience with pub / sub systems (Kafka preferred), including producers, consumers, partitions, schema evolution, and stream processing concepts.
  • Strong SQL skills and experience working with relational and non?relational databases.
  • Experience with at least one major data orchestration or processing platform (e.g., Apache Spark, Apache Airflow, or dbt).
  • Effective communication and storytelling skills to convey insights to technical and non?technical audiences.
  • Preferred Qualifications

  • Knowledge of scripting languages (Python, R) for data manipulation and automation.
  • Experience with real?time or streaming data pipelines using Kafka, Pulsar, or similar technologies.
  • Experience with containerization (Docker, Kubernetes).
  • Experience with real?time monitoring dashboards.
  • Understanding of data warehousing and semantic modeling concepts and ETL processes.
  • Certification in Power BI or Tableau is a plus.
  • Experience with cloud platforms (Azure, AWS, GCP).
  • Please note that Applied Digital is currently unable to sponsor new applicants for employment authorization or provide immigration?related support for this position. This includes, but is not limited to, visa categories such as H-1B, F?1 OPT, F?1 STEM OPT, F?1 CPT, J?1, TN, E?2, E?3, L?1, O?1, and any Employment Authorization Documents (EADs) or other work authorizations that require employer sponsorship.

    Physical Requirements

  • Able to remain in a seated position for an extended period and to lift and carry up to 15 lbs. (office manuals, case notebooks, case files, case materials, standard boxes, report binders, etc.) as needed.
  • The company is an Equal Opportunity Employer, drug?free workplace, and complies with ADA regulations as applicable.

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