Senior Data Engineer (Cloud, Databricks & Advanced Analytics)
Remote · USFull-time$140–160K/yrSeen todaySeen in employer's feed today
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At a glance
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Job overview
The Senior Data Engineer will build scalable data platforms and end-to-end pipelines for a technology company serving the transportation and logistics industry. The role focuses on Databricks, Python, SQL, cloud-native infrastructure, CI/CD, and API integrations. The posting seeks 6–10 years of relevant experience and describes the opportunity as fully remote, with medical, dental, vision, retirement, paid time off, and professional development benefits.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
$140000 - $160000
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.
Required Skills & Experience
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6-10 years of experience in Data Engineering, Software Engineering, or a related field
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Strong experience building end-to-end data pipelines
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Expertise with Databricks
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Advanced SQL skills
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Strong Python development experience
Desired Skills & Experience
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Experience with AI/ML technologies and data-driven applications
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Experience supporting enterprise-scale analytics and data platforms
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Knowledge of data governance, data quality, and data management best practices
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Experience working in Agile development environments
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Prior experience within transportation, logistics, fleet management, or related industries is a plus
What You Will Be Doing
Tech Breakdown
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Databricks
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Python
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SQL
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Cloud Platforms (AWS, Azure, or GCP)
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CI/CD Tools
Daily Responsibilities
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Design, develop, and maintain scalable data pipelines and workflows
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Build and optimize data solutions using Databricks, Python, and SQL
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Develop cloud-native data infrastructure and integrations
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Implement CI/CD processes to support automated deployment and testing
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Integrate internal and external data sources through APIs
The Offer
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Comprehensive Medical, Dental, and Vision Coverage
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Retirement Savings Plan
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Paid Time Off and Company Holidays
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Professional Development Opportunities
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Remote Work Environment
Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.
How this job compares
Set against the 6,058 open Data Engineer jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$140–160K/yr
- Texas median$116–208K/yr300 salary ranges
- US median$125–208K/yr4,725 salary ranges
This range's midpoint, $150K, is 5% below the Texas median midpoint ($157K) — in the middle half of Data Engineer salary ranges in Texas.
- Openings
- Olive Jobs lists 455 open Data Engineer jobs in Texas and 6,058 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 6 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,300 postings).
- Education
- 2,358 of the 6,058 open Data Engineer jobs (39%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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