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Remote Databricks Jobs in Katy, TX (NOW HIRING)

Inizio Partners

Data Scientist

Houston, TX · On-site +1

US Remote This resource will work specifically on anomaly detection within one of our plant ... Experience with Databricks, AWS SageMaker and/or Google Vertex AI * Comfortable working in Linux

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Remote Databricks information

What are the key skills and qualifications needed to thrive as a Remote Databricks Engineer, and why are they important?

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are remote Databricks jobs?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.
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What cities near Katy, TX are hiring for Remote Databricks jobs? Cities near Katy, TX with the most Remote Databricks job openings:
Remote Databricks jobs near you

Data Scientist

Inizio Partners

Houston, TX • On-site, Remote

Full-time

Posted 4 days ago

Job description

Role: Data Scientist

Location: US Remote

This resource will work specifically on anomaly detection within one of our plant operations projects. The purpose of this project is to scale anomaly detection models for the transformer fault POC and add new models relating to thermal data. Other projects as required to require skills in forecasting and linear regression.

Essential Duties/Responsibilities:

  • Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering
  • Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers
  • Ability to communicate and establish good relations with multi-disciplinary teams
  • Expertise with neural networks, specifically RNNs within the Keras/TensorFlow framework.
  • Proficiency with Python, including pandas, scikit-learn
  • Experience in PySpark

Minimum Requirements:

  • Bachelors degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required.
  • 3+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research

Preferred Qualifications:

  • Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred.

Additional Knowledge, Skills and Abilities:

  • Knowledge of power transformers, experience with electrical engineering.
  • Prior experience predictive maintenance in a power or manufacturing environment.
  • Experience with Databricks, AWS SageMaker and/or Google Vertex AI
  • Comfortable working in Linux
  • Experience with Git
  • Experience with Docker containers
  • Good communication skills

Apply