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Remote Databricks Data Engineer Jobs in Grand Prairie, TX

UnitedHealth Group

Lead AI Engineer- Remote

Richardson, TX · 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 ...

UnitedHealth Group

Lead AI Engineer- Remote

Richardson, TX · 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 ...

PeerIslands US Inc

Principal Software Engineer

Southlake, TX · On-site +1

$127K - $170K/yr

Design and build data engineering pipelines and Data Lake solutions using Databricks (Spark with Scala), Azure ADF, and Delta Lake for analytical and machine learning use cases. Architect and develop ...

Confie

Data Transformation Engineer

Addison, TX · 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 ...

PinnaclePartners

Support Engineer

Plano, TX · Remote

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 ...

CYNET SYSTEMS

AI Engineer - Remote / Telecommute

Plano, TX · Remote

$60 - $65/hr

Build secure RESTful APIs, distributed systems, and data-intensive solutions leveraging Azure Databricks, Apache Spark, and Delta Lake. * Deliver production-ready software following Agile, DevOps, CI ...

HW Media

Senior Solutions Engineer

Dallas, TX · On-site +1

$110K - $120K/yr

You've worked inside Snowflake data sharing, Databricks Delta Sharing, or similar at real scale ... Hybrid/remote work options, depending on location

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All JobsDatabricks Data Engineer JobsRemote Databricks Data Engineer JobsRemote Databricks Data Engineer Jobs in Grand Prairie, TX

Remote Databricks Data Engineer information

See Grand Prairie, TX salary details

$42.1K

$122.8K

$168K

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

As of Aug 23, 2026, the average yearly pay for remote databricks data engineer in Grand Prairie, TX is $122,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $130,200.00 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 are the most commonly searched types of Databricks Data Engineer jobs in Grand Prairie, TX?

The most popular types of Databricks Data Engineer jobs in Grand Prairie, TX are:

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For Remote Databricks Data Engineer jobs in Grand Prairie, TX, the most frequently searched job titles are:

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Remote Databricks Data Engineer jobs near you

Principal Architect - Databricks

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Re-posted 6 days ago

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.

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