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Aws Databricks Data Engineer Jobs (NOW HIRING)

Databricks/Data Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

Databricks/Data Architect (Enterprise Data Platform) Experience: 14+ Years Location - NJ, Hybrid ... engineering best practices Cloud Integration * Architect Databricks solutions on AWS / Azure ...

AWS/Azure Databricks Architect

Raritan, NJ · On-site

$66.25 - $87/hr

... engineering data governance performance optimization and enterprisegrade Databricks implementations Key Responsibilities Design and architect endtoend Databricks Lakehouse solutions across AWS and ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

This program entails developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. This role works alongside senior engineers ...

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

This program entails developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. This role works alongside senior engineers ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

This program entails developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. This role works alongside senior engineers ...

W2- AWS Databricks DevOps Lead

Dallas, TX · On-site

$52.50 - $71.75/hr

AWS Databricks DevOps Lead / Cloud Data Platform DevOps Lead Location- Dallas TX Duration- Long term The AWS Databricks DevOps Lead / Cloud Data Platform DevOps Lead is responsible for leading ...

Senior Databricks Data Engineer Location-Type: Onsite, Santa Monica, CA (office relocation to Century City anticipated within approximately one year) Start Date: ASAP Duration: Permanent Compensation ...

Sr AWS Databricks DevOps Lead

Dallas, TX · On-site

$129K - $165K/yr

AWS Databricks DevOps / Cloud Data Platform DevOps Lead Location- Dallas, TX Duration- Long term The AWS Databricks DevOps Lead / Cloud Data Platform DevOps Lead is responsible for leading operations ...

AWS Databricks Lead

Piscataway, NJ · On-site

$104K - $137K/yr

AWS Databricks Lead Job Responsibilities * Design modern data architectures on Databricks ... Must have utilized AI tools for data engineering and data analytics use cases like data copilot, AI ...

Databricks Data Engineer Location: New York, New York Duration: Contract Job ID: 178866 Job ... Familiarity with cloud platforms (e.g., Azure, AWS, or Google Cloud Platform) and integration with ...

New

Engineer

Dallas, TX · On-site

$100K - $105K/yr

... data pipelines • Migrate On Prem workloads into Cloud(AWS, Databricks, Snowflake) based on use cases. • Collaborate with cross-functional teams to identify and resolve data-related issues. • ...

Showing results 41-60

Aws Databricks Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Aug 15, 2026, the average yearly pay for aws databricks data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What cities are hiring for Aws Databricks Data Engineer jobs?

Cities with the most Aws Databricks Data Engineer job openings:

What states have the most Aws Databricks Data Engineer jobs?

States with the most job openings for Aws Databricks Data Engineer jobs include:

Infographic showing various Aws Databricks Data Engineer job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$105K - $126K/yr

Full-time

Posted yesterday

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Job description

We are seeking an experienced Senior Data Engineer with strong Databricks expertise to join our data engineering team supporting in Houston, TX. The ideal candidate will have hands-on experience designing and developing scalable data pipelines, data platforms, and ETL/ELT solutions using Databricks, Apache Spark, Python, and SQL.
The candidate will work closely with data architects, analysts, application teams, and business stakeholders to build reliable and high-performance data solutions supporting enterprise analytics and data-driven initiatives.
Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Databricks.
  • Develop data engineering solutions using Databricks, Apache Spark, PySpark, Python, and SQL.
  • Build and optimize data pipelines using Delta Lake and Databricks Lakehouse architecture.
  • Work with large and complex datasets and implement efficient data transformation and processing strategies.
  • Develop batch and near-real-time data ingestion pipelines from multiple enterprise data sources.
  • Implement data quality, validation, monitoring, and error-handling processes.
  • Optimize Spark jobs, SQL queries, data models, and Databricks workloads for performance and cost.
  • Work with cloud-based data platforms and integrate Databricks with enterprise systems.
  • Collaborate with data architects and engineering teams on data architecture and solution design.
  • Implement CI/CD and automated deployment processes for data engineering workloads.
  • Troubleshoot production data pipelines and resolve performance and data-quality issues.
  • Participate in code reviews, technical documentation, and engineering best practices.
  • Ensure solutions meet enterprise security, governance, scalability, and reliability standards.
Required Skills
  • 8+ years of experience in Data Engineering
  • Strong hands-on experience with Databricks
  • Strong experience with Apache Spark / PySpark
  • Strong programming skills in Python
  • Advanced SQL skills
  • Experience developing enterprise-scale ETL/ELT data pipelines
  • Strong knowledge of Delta Lake / Lakehouse architecture
  • Experience with data warehousing and data modeling concepts
  • Experience working with large-volume structured and unstructured data
  • Experience with cloud data platforms such as AWS, Azure, or GCP
  • Experience with Git and CI/CD practices
  • Strong troubleshooting and performance-tuning skills
Preferred Qualifications
  • Experience with Databricks Workflows, Unity Catalog, and Delta Live Tables (DLT/Lakeflow Declarative Pipelines)
  • Experience with Azure Databricks
  • Experience with AWS Databricks
  • Experience with Kafka or other streaming technologies
  • Experience with REST APIs and enterprise data integrations
  • Experience with Terraform or infrastructure-as-code
  • Knowledge of data governance, security, lineage, and access-control frameworks
  • Experience working in large enterprise environments
  • Experience in the Oil & Gas / Energy industry is highly preferred
  • Experience supporting data analytics, reporting, or AI/ML data platforms is a plus
Education
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Equivalent professional experience may be considered.