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Remote Databricks Data Engineer Jobs in Austin, TX

Huckberry

Data & Analytics Manager

Austin, TX · On-site +1

... remote hire Responsibilities * Own prioritization and project management for the data team ... Execute hands on data engineering work: building and maintaining ELT pipelines, data models, and ...

Kriscon Inc

Lead Agentic AI Engineer

Austin, TX · Remote

$98K - $129K/yr

Remote, EST Time zone Role Overview We are looking for a Lead Agentic AI Engineer to drive the ... Integrate AI solutions with enterprise data platforms (SQL, Databricks) * Provide technical ...

General Motors

Senior Software Engineer (.NET )

Austin, TX · On-site +1

$121K - $160K/yr

We are seeking an experienced Senior Software Engineer ( .NET ) to join our team. In this role, you ... Experience in Azure Databricks, Data Mesh architecture This job may be eligible for relocation ...

New

Kriscon Inc

Lead Agentic AI Engineer

Austin, TX · Remote

$98K - $129K/yr

Remote, EST Time zone Role Overview We are looking for a Lead Agentic AI Engineer to drive the ... Integrate AI solutions with enterprise data platforms (SQL, Databricks) * Provide technical ...

Kriscon Inc

Lead Agentic AI Engineer

Austin, TX · Remote

$98K - $129K/yr

Remote, EST Time zone Role Overview We are looking for a Lead Agentic AI Engineer to drive the ... Integrate AI solutions with enterprise data platforms (SQL, Databricks) * Provide technical ...

HonorVet Technologies

Informatica Developer

Austin, TX · On-site +1

$52.75 - $69.25/hr

... Data Engineer Location: Austin, Texas (Hybrid) - 2 Days Remote Duration: 12 Months Contract Candidates must already reside in Texas Position Overview: * Client is seeking a Senior Informatica ...

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Remote Databricks Data Engineer information

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$44.1K

$128.6K

$175.9K

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

As of Jun 10, 2026, the average yearly pay for remote databricks data engineer in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

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 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 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.
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Remote Databricks Data Engineer jobs near you

Full Stack Data Engineer & Analytics Developer

TPI Global Solutions

Austin, TX • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Full Stack Data Engineer & Analytics Developer Location: Remote Job Type: Contract Job Summary We are seeking a highly skilled and business savvy FullStack Data Engineer & Analytics Developer to join our team. This role blends data analytics, backend engineering, and frontend development. The ideal candidate will possess strong analytical expertise, full stack development capabilities, and hands-on experience with databases including Postgres and Snowflake.

You will help bridge the gap between raw data, scalable systems, and actionable business insights. Key Responsibilities Develop, maintain, and optimize interactive dashboards and reports using Power BI. Collaborate with cross functional teams to translate business objectives into analytical and technical solutions.

Extract, manipulate, and analyze large datasets using SQL (Postgres, Snowflake) and Python. Build and maintain backend services using Python Flask and SQLAlchemy. Develop and enhance front end interfaces using JavaScript, React, Ag Grid, and CSS.

Identify key trends, patterns, and anomalies in data to support strategic decision making. Build and maintain data pipelines and integrations, ensuring data integrity, performance, and reliability. Conduct ad hoc analysis to support operational and strategic initiatives.

Present technical and analytical insights to stakeholders in a clear and compelling manner. Stay current with emerging tools, frameworks, and best practices in analytics and full stack development. Design and execute software testing activities based on documented business and technical requirements.

Required Qualifications Bachelor s degree in Business, Data Science, Computer Science, Statistics, or related field. 3+ years of experience in data analytics, full stack development, or similar hybrid roles. Advanced Power BI skills including DAX, data modeling, and report optimization.

Proficiency with SQL (joins, CTEs, subqueries) and experience with Postgres and Snowflake. Strong programming skills in Python (pandas, NumPy, matplotlib, seaborn) and experience with Flask and SQLAlchemy. Frontend experience using JavaScript, React, Ag Grid, HTML, and CSS.

Ability to communicate complex findings to non technical stakeholders. Experience with data warehousing and ETL processes is a plus. Web development experience (Ajax, HTML, CSS, JavaScript).

Preferred Qualifications Familiarity with version control tools (e.g., Git). Exposure to business domains such as finance, marketing, operations, or sales analytics. Knowledge of machine learning or predictive modeling.

Bonus points: Experience with PHP, ThoughtSpot, Sigma Computing.

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