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Remote Databricks Jobs in Dallas, TX (NOW HIRING)

NTT DATA Services

AI Architect - Cross Functional

Plano, TX · On-site +1

$184K - $426K/yr

... Databricks, Snowflake, vector databases, orchestration frameworks, and MLOps/LLMOps tooling ... The starting pay range for this remote role is $184,376.00-$426,798.00. This range reflects the ...

NTT DATA Services

AI Architect - Cross Functional

Plano, TX · On-site +1

$184K - $426K/yr

... Databricks, Snowflake, vector databases, orchestration frameworks, and MLOps/LLMOps tooling ... The starting pay range for this remote role is $184,376.00-$426,798.00. This range reflects the ...

Confie

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... OpenAI, Databricks, or similar. 2+ years hands-on experience with Generative AI including LLM ...

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

... including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

Gartner

Data Analyst

Irving, TX · On-site +1

Advanced Excel and PowerPoint, Intermediate SQL, Python/R, PowerBI, Databricks. Experience with AI ... Gartner offers a hybrid, flexible environment, with remote work that allows associates great ...

Kemper

Data Scientist

Dallas, TX · On-site +1

Exposure to cloud platforms such as AWS, Azure, Databricks, or similar environments. * Exposure to ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or ...

JLL

Senior Analytics Specialist

Dallas, TX · Remote

Advanced proficiency in SQL and data warehousing technologies (Azure Databricks preferred ... Location: Remote -Atlanta, GA, Dallas, TX, Pensacola, FL, Tallahassee, FL, Wichita, KS If this ...

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · Remote

... such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or ...

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

... including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

NTT DATA Services

AI Solution Architect

Plano, TX · On-site +1

$60.25 - $79.50/hr

... Databricks, Snowflake, vector databases, orchestration frameworks, and MLOps/LLMOps tooling ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Milliman

Client Success Manager (MedInsight)

Dallas, TX · Remote

$788/wk

Experience with Databricks and cloud platforms, particularly Microsoft Azure * Prior exposure to ... Location This role is ideally based in Seattle, Washington, but remote work within the United ...

NTT DATA Services

AI Consultant - Products

Plano, TX · On-site +1

$111K - $257K/yr

... Databricks, or Snowflake. - Strong executive communication, structured problem solving ... The starting pay range for this remote role is $111,172.00-$257,344.00. This range reflects the ...

NTT DATA Services

AI Solution Architect

Plano, TX · On-site +1

$60.25 - $79.50/hr

... Databricks, Snowflake, vector databases, orchestration frameworks, and MLOps/LLMOps tooling ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

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All JobsDatabricks JobsRemote Databricks JobsRemote Databricks Jobs in Dallas, TX

Remote Databricks information

What are the key skills and qualifications needed to thrive as a remote Databricks engineer?

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 is a remote Databricks engineer?

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.
What are the most commonly searched types of Databricks jobs in Dallas, TX? The most popular types of Databricks jobs in Dallas, TX are:
What are popular job titles related to Remote Databricks jobs in Dallas, TX? For Remote Databricks jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Databricks jobs in Dallas, TX look for? The top searched job categories for Remote Databricks jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Databricks jobs? Cities near Dallas, TX with the most Remote Databricks job openings:
Remote Databricks jobs near you
Infographic showing various Remote Databricks job openings in Dallas, TX as of July 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution.

Senior Data Scientist

Bright Vision Technologies

Coppell, TX • Remote

$160K - $180K/yr

Full-time

Posted 12 days ago

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Senior Data Scientist
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $160,000–$180,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an accomplished Senior Data Scientist to design, develop, deploy, and optimize enterprise-grade data science and machine learning solutions that support strategic business initiatives across multiple domains. In this role, you will be responsible for the complete data science lifecycle, from translating business problems into analytical solutions and developing predictive models to deploying machine learning pipelines, monitoring model performance, and supporting data-driven decision-making throughout the operational lifecycle. The successful candidate will bring deep expertise in statistical analysis, machine learning, predictive modeling, and data engineering, combined with strong hands-on experience working with large-scale structured and unstructured datasets using modern analytics platforms and cloud technologies. You will work closely with business stakeholders, data engineers, software developers, product managers, and cross-functional teams in an Agile environment to deliver scalable, accurate, and impactful data science solutions that directly support strategic business outcomes.
Required Qualifications
  • Bachelor\'s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a closely related quantitative discipline.
  • Five or more years of professional experience developing production-grade machine learning models, predictive analytics solutions, and enterprise data science applications.
  • Strong, demonstrable understanding of statistics, probability, machine learning algorithms, data structures, data modeling, feature engineering, model evaluation techniques, and end-to-end machine learning lifecycle principles.
  • Advanced working knowledge of Python, R, SQL, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and modern data science libraries for building scalable analytical solutions.
  • Hands-on, production-level experience designing, training, validating, deploying, and monitoring machine learning models, including regression, classification, clustering, forecasting, recommendation systems, and natural language processing applications.
  • Proven experience working with relational and NoSQL databases, large-scale datasets, data warehouses, and distributed data processing platforms such as Spark, Hadoop, Snowflake, Databricks, or BigQuery.
  • Strong SQL skills and meaningful experience performing data exploration, feature engineering, query optimization, ETL development, data visualization, and business intelligence reporting using enterprise data platforms.
  • Solid experience with Git-based version control workflows, CI/CD processes, MLOps practices, model deployment pipelines, code review processes, and collaborative software development methodologies.
  • Hands-on experience deploying machine learning solutions on at least one major cloud platform (AWS, Azure, or GCP), including managed AI/ML services, storage, networking, and identity management capabilities.
  • Strong debugging, analytical thinking, problem-solving, and root-cause analysis skills, with the discipline to investigate complex data challenges methodically, communicate findings effectively, and translate analytical insights into actionable business recommendations.

Preferred Qualifications
  • Experience designing and deploying real-time machine learning systems, recommendation engines, streaming analytics, event-driven architectures, or large-scale AI applications using Kafka, Spark Streaming, or equivalent technologies.
  • Familiarity with containerization and orchestration using Docker, Kubernetes, Kubeflow, MLflow, Airflow, or equivalent platforms for production machine learning operations.
  • Exposure to advanced artificial intelligence concepts such as deep learning, reinforcement learning, computer vision, generative AI, large language models (LLMs), explainable AI (XAI), model fairness, and responsible AI practices.
  • Experience implementing automated testing, model monitoring, feature stores, experiment tracking, data governance, MLOps best practices, and continuous machine learning delivery pipelines within enterprise Agile software development environments.

How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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