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Databricks Engineer

100% Remote (Within US) 12.0 Months
Full-Time $17-$22/hr






Accepted: .doc, .docx, .pdf, - max 20MB
Posted: Jun 11, 2026
Ref: SRMDDE11

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Databricks Engineer

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Position Overview



Databricks Engineer

The Person
You are a detail-oriented and analytical problem solver who enjoys tackling complex data challenges. You communicate clearly and collaborate effectively with cross-functional teams to deliver meaningful, data-driven solutions. You are adaptable, service oriented, curious, and passionate about using modern data technologies to unlock insights. Highly organized and proactive, you can manage multiple priorities while maintaining a strong focus on quality, scalability, and innovation.

Key Responsibilities
Implement and optimize data models and structures within Databricks to support efficient querying, analytics, and reporting.
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows, with a strong emphasis on dimensional data modeling and data quality.
Partner with engineering teams and business stakeholders to gather requirements and deliver reliable analytics solutions.
Develop, optimize, and maintain SQL queries, notebooks, and scripts for data ingestion, transformation, and processing.
Ensure data accuracy, consistency, and integrity through validation, monitoring, and data cleansing processes.
Create and maintain comprehensive documentation for data pipelines, models, and analytics solutions.
Monitor, troubleshoot, and optimize data pipelines and analytics workloads to ensure performance and reliability.
Stay current with industry trends, including AI-driven analytics tools, semantic modeling, and emerging data engineering best practices.

Preferred Experience
Hands-on experience implementing and operating solutions in Databricks.
Strong understanding of ETL/ELT architectures and data ingestion patterns.
Proficiency in Python and/or Spark for large-scale data processing.
Experience designing and implementing dimensional data models in data lakehouse environments.
Familiarity with AI-driven analytics platforms, semantic modeling concepts, and NLP techniques.
Experience working in SAFe Agile or other scaled Agile environments.
Solid understanding of data governance, security, and compliance best practices in global environments with numerous data providers and consumers.

Academic Credentials
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field preferred.
Master’s degree is a plus.
Databricks and Azure certifications strongly preferred.

Notes:
Remote
40 hours per week (no overtime)


VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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Competitive Benefits


Your well-being Matters

Health & Future Fully Covered

At VIVA, employee well-being is paramount. Our comprehensive benefits package ensures your health, financial security, and quality of life are always prioritized.

Health Insurance

VIVA provides employees access to a comprehensive group health insurance plan (Medical, Dental, Vision, Basic Life, Term Life, and Accidental Death) through our flexible PPO plan-allowing you the freedom to choose healthcare providers.

401(k) Retirement Planning

Plan securely for your future with automatic payroll deductions into a tax-advantaged 401(k) retirement plan, including employer-matching contributions for eligible employees.

Performance Bonuses & Referrals

Earn performance-based bonuses and generous referral incentives of up to $500 when recommending talented candidates who become part of the VIVA family.

Biweekly Direct Deposit

Enjoy timely and convenient payroll with biweekly direct deposit to your chosen financial institution. Biweekly Direct Deposit

VIVA Perks Program

Access exclusive employee discounts and savings on electronics, travel, groceries, apparel, and more through our dedicated VIVA Perks Program.

Join VIVA and Grow
VIVA is faster, easier and you still have complete control

Databricks Engineer


Reference Number: SRMDDE11
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