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Remote Databricks Data Engineer Jobs in Rockwall, TX

Enterprise Data Operations Senior Analyst

Plano, TX ยท On-site +1

$118K - $148K/yr

... Databricks, DBT, and related tools. Lead the development and optimization of advanced ETL/ELT ... Establish and enforce best practices for data engineering operations, including monitoring, logging ...

Enterprise Data Operations Senior Analyst

Plano, TX ยท On-site +1

$118K - $148K/yr

... Databricks, DBT, and related tools. Lead the development and optimization of advanced ETL/ELT ... Establish and enforce best practices for data engineering operations, including monitoring, logging ...

Lead AI Engineer- Remote

Richardson, TX ยท On-site +1

$93K - $122K/yr

Partner with data engineering to build feature/retrieval stores, embeddings pipelines, and ETL/ELT jobs on Spark/Databricks; design analytics models and rules engines * Define and develop APIs for ...

Lead AI Engineer- Remote

Richardson, TX ยท On-site +1

$93K - $122K/yr

Partner with data engineering to build feature/retrieval stores, embeddings pipelines, and ETL/ELT jobs on Spark/Databricks; design analytics models and rules engines * Define and develop APIs for ...

Lead AI Engineer- Remote

Richardson, TX ยท On-site +1

$93K - $122K/yr

Partner with data engineering to build feature/retrieval stores, embeddings pipelines, and ETL/ELT jobs on Spark/Databricks; design analytics models and rules engines * Define and develop APIs for ...

Data Modeler

Dallas, TX ยท Remote

$52/hr

This role partners with business stakeholders, data architects, engineers, and analysts to ensure ... Experience with Databricks on Azure or other cloud data platforms. * Familiarity with semantic ...

Clinical Data Scientist

Irving, TX ยท On-site +1

$140K - $145K/yr

Experience programming with SQL scripting. * Experience with data analytics visualization tools ... Position is performed in a general office environment, home office, or approved remote workspace ...

Support Engineer Location: Remote - Plano, TX Pay: Up to $124K Direct Hire Pinnacle Partners is ... with data lake architecture; candidates with Databricks or Redshift experience will also be ...

Data Transformation Engineer

Addison, TX ยท On-site +1

$130K - $150K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... in data engineering, continuously improving the team's technical knowledge and skills On-call ...

Partner with engineering, product, business, governance, and security teams to ensure solutions ... Deep hands-on experience with Azure cloud services, Databricks, Snowflake, and modern data platform ...

Partner with engineering, product, business, governance, and security teams to ensure solutions ... Deep hands-on experience with Azure cloud services, Databricks, Snowflake, and modern data platform ...

Partner with engineering, product, business, governance, and security teams to ensure solutions ... Deep hands-on experience with Azure cloud services, Databricks, Snowflake, and modern data platform ...

PBM Data Analyst I - REMOTE Role And Responsibilities The PBM Data Analyst I at Liviniti is ... Partner with IT and data engineering teams to understand data pipelines, data models, source-to ...

Showing results 41-60

Remote Databricks Data Engineer information

See Rockwall, TX salary details

$41.4K

$120.6K

$165K

How much do remote databricks data engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote databricks data engineer in Rockwall, TX is $120,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $127,800.00 per year, depending on experience, location, and employer.

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

What job categories do people searching Remote Databricks Data Engineer jobs in Rockwall, TX look for?

The top searched job categories for Remote Databricks Data Engineer jobs in Rockwall, TX are:

What cities near Rockwall, TX are hiring for Remote Databricks Data Engineer jobs?

Cities near Rockwall, TX with the most Remote Databricks Data Engineer job openings:

Infographic showing various Remote Databricks Data Engineer job openings in Rockwall, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 8% Hybrid, and 92% Remote job distribution, with an average salary of $120,605 per year, or $58 per hour.

Principal Architect - Databricks

Dallas, TX โ€ข On-site, Remote

Tiger Analytics Inc.
Business Management Consultingย โ€ขย 201 - 500 employees

Full-time

Re-posted 28 days ago


Key responsibilities

  • Design and implement enterprise data warehousing, lakehouse, and business intelligence systems using Databricks.

  • Build scalable IoT and stream ingestion pipelines utilizing cloud-specific tools such as Azure Hub, Device SDK, DPS, Stream Analytics, or their AWS equivalents.

  • Define, build, and enforce data governance and master data management practices across the organization.


Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
Job Summary
We are seeking a highly skilled Principal Data Architect to design and implement our next-generation data ecosystem. You will lead the technical strategy for end-to-end data management, data warehousing, and IoT ingestion pipelines. The ideal candidate brings mastery in cloud data platforms (Azure or AWS) and advanced data governance.
Key Responsibilities
Data Architecture: Design Databricks-driven enterprise data warehousing (EDW), lakehouse, and business intelligence (BI) systems.
IoT & Stream Ingestion: Build scalable pipelines using Azure Hub, Device SDK, DPS, and Stream Analytics.
Data Management: Implement information lifecycle management (ILM) from data ingestion to archiving.
Data Strategy: Define, build, and enforce global data governance and master data management practices.
Dataset Creation: Extract and manipulate unstructured data into connected datasets for advanced analytics.
Requirements
  • Core Cloud Data Platform (Must Have)
    • Databricks: Strong proficiency in building optimized spark pipelines, delta lakes, and lakehouses.

  • Cloud Ecosystem (Option A: Azure Suite)
    • IoT Infrastructure: Azure Hub, Device SDK, Device Provisioning Services (DPS), and Device Twins.
    • Compute & Storage: Azure Functions, Cosmos DB, and Azure Stream Analytics.

  • Cloud Ecosystem (Option B: AWS Alternative)
    • IoT Infrastructure: AWS IoT Core, IoT Device Management, and IoT Device Defender.
    • Compute & Storage: AWS Lambda, DynamoDB, Amazon Kinesis, and EMR.

  • Data Engineering & Governance
    • BI & EDW: Deep expertise in enterprise data warehousing and business intelligence tools.
    • Data Modeling: Proven ability to manage both structured and unstructured data assets.

  • Qualifications & Soft Skills
    • Communication: Ability to translate complex technical concepts clearly to diverse technical teams.
    • Collaboration: Demonstrated teamwork skills with a proven track record in cross-functional environments.
    • Experience: Extensive background in end-to-end data management principles and data lifecycle execution.

Good to have-Experience in architecting and building Azure IoT platforms/apps with good exposure to containerization and server less architecture.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.