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Remote Databricks Developer Jobs in Texas (NOW HIRING)

Vytwo

Senior Data Engineer - INDIA

Prosper, TX · On-site +1

$97K - $131K/yr

Senior Data Engineer Remote Work: INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local ... Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake ...

Vytwo

Senior Data Engineer - INDIA

Prosper, TX · On-site +1

$97K - $131K/yr

Senior Data Engineer Remote Work: INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local ... Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake ...

Numentica LLC

Frontend Engineer React and AWS

Austin, TX · Remote

$30 - $38/hr

Remote (EST Work Hours) Duration: 12 Months to start with Rate Range: Upto $80/hr W2 or $88/hr C2C ... Databricks exposure. * Experience with data visualization libraries such as D3.js, Recharts, or ...

Sparks Group

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 ...

NATIONMIND LLC

AI Architect Lead

Houston, TX · Remote

$45 - $50/hr

Houston TX or US Remote Duration: 6 months Skills: AI and Automation AI Agents Experience Required ... Strong experience in enterprise solution architecture, backend engineering, and distributed systems ...

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All JobsRemote Databricks Developer JobsRemote Databricks Developer Jobs in Texas

Remote Databricks Developer information

What are the key skills and qualifications needed to thrive as a Remote Databricks Developer, and why are they important?

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

What is the difference between Remote Databricks Developer vs Data Engineer?

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

How does a Remote Databricks Developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What is a Remote Databricks Developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.
What are the most commonly searched types of Databricks Developer jobs in Texas? The most popular types of Databricks Developer jobs in Texas are:
What are popular job titles related to Remote Databricks Developer jobs in Texas? For Remote Databricks Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Developer jobs in Texas look for? The top searched job categories for Remote Databricks Developer jobs in Texas are:
What cities in Texas are hiring for Remote Databricks Developer jobs? Cities in Texas with the most Remote Databricks Developer job openings:
Remote Databricks Developer jobs near you
Infographic showing various Remote Databricks Developer job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Data Engineer - INDIA

Vytwo

Prosper, TX • On-site, Remote

$97K - $131K/yr

Full-time

Posted 29 days ago

Job description

Role: Senior Data EngineerRemote Work: INDIA
Location: Hyderabad / Noida, INDIA
*Only Consultants local to INDIA are eligible. *No visa Sponsorship
Primary Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads
  • Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency
  • Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration
  • Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns
  • Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring
  • Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies
  • Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets
  • Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions
  • Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability
  • Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management
  • Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures
  • Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency

Required Qualifications:

  • 5+ years of experience in data engineering, software engineering, or similar disciplines
  • Hands-on experience with Databricks or Snowflake
  • Experience with orchestration tools such as Apache Airflow
  • Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)
  • Advanced SQL skills and experience with OLTP and OLAP data modeling
  • Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns
  • Familiarity with data governance tools, especially Microsoft Purview
  • Solid programming expertise in Python, PySpark, or similar languages
Preferred Qualifications:

  • Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data
  • Experience with containerization (Docker, Kubernetes) for data workloads
  • Experience supporting machine learning workflows or analytical data science pipelines
  • Knowledge of distributed computing concepts and performance tuning

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