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Remote Databricks Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer

Dallas, TX · On-site +1

$113.30K - $136K/yr

... fully remote candidates in Eastern or Central time zones. What Youll Do: * Design, develop, and automate ETL/ELT pipelines feeding Snowflake and Databricks * Build and maintain scalable ingestion ...

Data Engineer

Dallas, TX · On-site +1

$113.30K - $136.10K/yr

... remote candidates in Eastern or Central time zones. What You'll Do: * Design, develop, and automate ETL/ELT pipelines feeding Snowflake and Databricks * Build and maintain scalable ingestion ...

Data Engineer

Dallas, TX · On-site +1

$113.30K - $136.10K/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 ...

Senior Data Engineer Remote Work *Must be a US Citizen* & have a USA Passport Primary ... Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake ...

Data Engineer (Databricks + Python + Azure)

Dallas, TX · On-site +1

$113.30K - $136K/yr

We are seeking a skilled Data Engineer to join our team and contribute to data-driven initiatives ... Design, develop, and maintain scalable data pipelines using Databricks (PySpark) and Python

Lead Data Engineer

Austin, TX · Remote

$101.60K - $133.80K/yr

... remote. Our team members are all individually motivated, yet collaborative. We maintain a high ... Manage and maintain Databricks Workflows and job orchestration, ensuring SLAs are consistently met

Databricks Architect - Remote

Houston, TX · Remote

$61.75 - $81.25/hr

... Databricks Architect Location: Remote Duration: 12 Months Contract We have below longterm job ... Must Have Technical/Functional Skills 10+ years of overall experience in data engineering or ...

Senior Data Engineer - INDIA

Prosper, TX · On-site +1

$97.10K - $131.90K/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 ...

Databricks Architect - Remote

Houston, TX · On-site +1

$61.75 - $81.25/hr

... Databricks Architect Location: Remote Duration: 12 Months Contract We have below longterm job ... Must Have Technical/Functional Skills 10+ years of overall experience in data engineering or ...

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

Data Engineer

Dallas, TX · On-site +1

$115K - $130K/yr

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment ... PostgreSQL, Databricks, etc.) * Experience in the design and build of data extraction ...

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

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Remote Databricks Data Engineer information

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

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 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 most commonly searched types of Databricks Data Engineer jobs in Texas? The most popular types of Databricks Data Engineer jobs in Texas are:
What are popular job titles related to Remote Databricks Data Engineer jobs in Texas? For Remote Databricks Data Engineer jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Remote Databricks Data Engineer jobs? Cities in Texas with the most Remote Databricks Data Engineer job openings:
Infographic showing various Remote Databricks Data Engineer job openings in Texas as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 93% Physical, and 7% Hybrid job distribution.
Databricks Data Engineer - Remote with Travel 25%

Databricks Data Engineer - Remote with Travel 25%

K Anand Corporation

Houston, TX • Remote

$109.30K - $131.30K/yr

Other

Posted 15 days ago


Job description

Role- Databricks Data Engineer

Work Location: Houston (TX)- Remote with Travel

Skills-

Data Engineer

We are seeking an Databricks Data Engineer who can play a crucial role in our Fintech data lake project.

What You Bring

- 4+ years of experience working in data warehousing systems

- 2+ strong hands-on programming expertise in Databricks landscape, including SparkSQL, Workflows for data processing and pipeline development

- 2+ strong hands-on data transformation/ETL skills using Spark SQL, Pyspark, Unity Catalog working in Databricks Medallion architecture

- 1+ yrs work experience in one of cloud platforms: Azure, AWS or Google Cloud Platform

- Good exposure to Git version control, and CI/CD best practices

- Experience in developing data ingestion pipelines from ERP systems (Oracle Fusion preferably) to a Databricks environment, using Fivetran or any alternative data connectors is a plus

- Experience in a fast-paced, ever-changing and growing environment

- Understanding of metadata management, data lineage, and data glossaries is a plus.

What You'll Do

- Involve in design and development of enterprise data solutions in Databricks, from ideation to deployment, ensuring robustness and scalability.

- Work with Sr. Data Engineer to build, and maintain robust and scalable data pipeline architectures on Databricks using PySpark and SQL

- Assemble and process large, complex ERP datasets to meet diverse functional and non-functional requirements.

- Involve in continuous optimization efforts, implementing testing and tooling techniques to enhance data solution quality

- Focus on improving performance, reliability, and maintainability of data pipelines.

- Implement and maintain PySpark and databricks SQL workflows for querying and analyzing large datasets

Qualifications

- Bachelors Degree in Computer Science, Engineering, Statistics, Finance or equivalent experience

- Good communication skills