Senior Data Engineer (Cloud, Databricks & Advanced Analytics)

Motion Recruitment Partners LLC.
Dallas, TX, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration Information Engineering Data Governance Data Systems Database Applications Python (Programming Language)
+11 more
Machine Learning Standard Sql Software Engineering SQL Databases Systems Integration Google Cloud Sql Optimization Deployment Automation Data Management Data Pipelines Databricks

Job description

Join a leading technology company in the transportation and logistics industry that develops innovative solutions helping commercial fleets operate more efficiently, safely, and compliantly across North America. This fully remote opportunity is ideal for a data engineering professional who thrives on building scalable data platforms and end-to-end data pipelines that directly impact business operations and customer-facing products., We are seeking a Senior Data Engineer with a strong software engineering foundation and proven experience designing, building, and deploying modern data solutions. The ideal candidate will have expertise in Databricks, Python, SQL, cloud technologies, and CI/CD best practices, along with exposure to APIs and emerging AI-driven solutions., Tech Breakdown

  • Databricks
  • Python
  • SQL
  • Cloud Platforms (AWS, Azure, or Google Cloud Platform)
  • CI/CD Tools

Daily Responsibilities

  • Design, develop, and maintain scalable data pipelines and workflows
  • Build and optimize data solutions using Databricks, Python, and SQL
  • Develop cloud-native data infrastructure and integrations
  • Implement CI/CD processes to support automated deployment and testing
  • Integrate internal and external data sources through APIs

Requirements

  • 6-10 years of experience in Data Engineering, Software Engineering, or a related field
  • Strong experience building end-to-end data pipelines
  • Expertise with Databricks
  • Advanced SQL skills
  • Strong Python development experience

Desired Skills & Experience

  • Experience with AI/ML technologies and data-driven applications
  • Experience supporting enterprise-scale analytics and data platforms
  • Knowledge of data governance, data quality, and data management best practices
  • Experience working in Agile development environments
  • Prior experience within transportation, logistics, fleet management, or related industries is a plus

Benefits & conditions

The Offer

  • Comprehensive Medical, Dental, and Vision Coverage
  • Retirement Savings Plan
  • Paid Time Off and Company Holidays
  • Professional Development Opportunities
  • Remote Work Environment

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