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Remote Databricks Jobs in Dallas, TX (NOW HIRING)

Senior ML Data Engineer - Remote

Plano, TX · On-site +1

$110K - $132K/yr

... on Databricks using Apache Spark with a strong understanding of the medallion architecture Familiarity with ML lifecycle management with MLflow experience as a strong plus and advanced skills in ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

... Databricks, BigQuery, etc.) * Hands-on experience with AWS and cloud-based data services, along ... is Hybrid Remote. We offer several comprehensive benefits package including health and life ...

... including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the ... Dallas HQ for our Builders and Remote for our teams supporting our customers * Monthly team events ...

Campaign Manager

Dallas, TX · Remote

$120K - $150K/yr

... including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the ... Must be located in the United States; this is a remote role open to candidates across all U.S. time ...

Campaign Manager

Dallas, TX · Remote

$120K - $150K/yr

... including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the ... Must be located in the United States; this is a remote role open to candidates across all U.S. time ...

Content Marketing Manager

Dallas, TX · Remote

$130K - $160K/yr

... including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the ... Must be located in the United States; this is a remote role open to candidates across all U.S. time ...

Remote Duration: Long term contract We are seeking a highly skilled Full Stack Developer with over ... Cloud & DevOps * Work with data engineers to fetch and display analytics from Databricks/Snowflake

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 ...

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Showing results 1-20

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.
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 cities near Dallas, TX are hiring for Remote Databricks jobs? Cities near Dallas, TX with the most Remote Databricks job openings:
Infographic showing various Remote Databricks job openings in Dallas, TX as of July 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% Remote job distribution.
Solution Architect (Cloud Data Platform)

Solution Architect (Cloud Data Platform)

IT America Inc

Dallas, TX • Remote

Contractor

Re-posted 2 days ago


Job description

Position: Cloud Data Platform – Solution Architect  

Location: Remote (Needs to travel to client site when required with your own expenses)

Duration: Long term contract

Job Summary:

We’re looking for a Solution Architect to join our product development team to drive a cloud based da-ta platform architecture that will power BI and advanced analytics. You will have a direct impact on the design, architecture, and implementation of BI and data science use cases. The ideal candidate will have industry-leading programming skills and established knowledge of implementing, designing, deploying, and maintaining big data analytics platforms in a cloud environment.

The solution architect will use knowledge of healthcare data to influence the implementation and governance of our data architecture. Your designs will account for data movement, storage, compute and BI consumption, and will comply with security and data governance standards. You will work closely with a variety of partners within the Data and Analytics organization.

Experience:

  • 8+ years of overall experience in big data, database and enterprise data architecture and delivery
  • 8+ years of programming proficiency in a subset of Python, Java, and Scala
  • 5+ years of hands-on experience building solutions on distributed processing frameworks such as Spark, Hadoop or Databricks
  • 5+ years of experience architecting, developing, releasing, and maintaining enterprise data lake platforms
  • 3+ years of experience implementing cloud-based systems. AWS and/or Databricks preferred

Roles & Responsibilities:

  • Reviews, analyzes and evaluates data/systems business requirements for existing and new development.
  • Documents technical and business specifications and functional needs and modifies existing requirements
  • Leads the data analysis and profile efforts for new client implementations and system enhancements.
  • Facilitates technical meetings with IT and business project team.
  • Provides data mappings, user interface specifications, processing logic as per business requirements to the Developer.
  • Communicates with clients, developers and other team members.
  • Tests development efforts and assists clients in user acceptance testing.
  • Creates and maintains a project plan, documents meeting notes and distributes to team.
  • Provides regular status reports to clients, developers, and management as needed.
  • Provides mentorship and guidance to junior Analysts on the team as needed.

Qualification & Experience:

  • Bachelor's degree with a preferred area of study in information technology, computer science, computer engineering or related fields.
  • 10+ years of experience working with datasets with strong understanding on how data should be optimized within transactional, reporting, and big data architectures.
  • 7+ years of experience in health care industry working with extensive amounts of healthcare data (claim and clinical sides) and major databases
  • 8+ years of overall experience in big data, database and enterprise data architecture and delivery
  • 8+ years of programming proficiency in a subset of Python, Java, and Scala
  • 5+ years of hands-on experience building solutions on distributed processing frameworks such as Spark, Hadoop or Databricks
  • 5+ years of experience architecting, developing, releasing, and maintaining enterprise data lake platforms
  • 3+ years of experience implementing cloud-based systems. AWS and/or Databricks preferred

Technical Skills:

  • Strong SQL skills to create/maintain DB objects, query/load required data using data governance (e.g. business glossary, data dictionary, data catalog, data quality, master data
  • management, etc.) and visualization tools to bring data literacy to the organization.
  • Practical experience on workload management, monitoring, and performance tuning Apache Spark jobs
  • Broad knowledge of data technologies, tools, and disciplines including data modeling, dimensional models, third-normal-form structures, ETL/ELT, change data capture and slowly
  • changing dimensions
  • Experience with healthcare data is a big plus
  • Experience with Machine Learning & MLOPs is a big plus

Additional Qualifications

  • Strong presentation and written communication skills.
  • Strong client and internal team relationship management to understand personal perspectives and become a trusted advisor
  • Ability to develop professional relationships
  • Ability to be a high-impact player on multiple simultaneous engagements
  • Willingness to travel