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Aws Databricks Data Engineer Jobs (NOW HIRING)

Prophecy Technologies

AWS Databricks Data Engineer

Quincy, MA · On-site

$120K - $144K/yr

As a Data Engineer, you will leverage your expertise in large-scale data processing and analytics ... Experience with cloud infrastructure (e.g., AWS, GCP, Azure). * Deep experience working with big ...

Horizon Industries

Databricks Data Engineer

Vienna, VA

$114K - $138K/yr

Who we are looking for We are seeking a Databricks Data Engineer for a full-time position ... Key must have skill sets - Python, SQL, Databricks, AWS Data Services * Experience with message ...

Acuity, Inc.

Data Engineer - AWS/Databricks

$117K - $140K/yr

... data engineering solutions in the cloud, with preferred experience with cloud native technologies from AWS and Databricks • Experience with data quality, validation frameworks, and storage ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$119K - $143K/yr

... data engineering solutions in the cloud, with preferred experience with cloud native technologies from AWS and Databricks * Experience with data quality, validation frameworks, and storage ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · Remote

$119K - $143K/yr

Build and maintain scalable PySpark-based data pipelines in Databricks notebooks to support ... Collaborate with data architects and engineers to implement cloud-native data solutions on AWS ...

Deloitte

Databricks Data Engineer

Philadelphia, PA

$115K - $138K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Deloitte

Databricks Data Engineer

Cincinnati, OH

$109K - $131K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Deloitte

Databricks Data Engineer

Costa Mesa, CA

$122K - $147K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Deloitte

Databricks Data Engineer

San Jose, CA

$134K - $161K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Deloitte

Databricks Data Engineer

Indianapolis, IN

$109K - $131K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Deloitte

Databricks Data Engineer

San Diego, CA

$121K - $146K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Deloitte

Databricks Data Engineer

Miami, FL

$109K - $131K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Deloitte

Databricks Data Engineer

Denver, CO

$117K - $141K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

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

As of Jun 6, 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 May 2026, with employment types broken down into 2% As Needed, 67% Full Time, 30% Part Time, and 1% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AWS Databricks Data Engineer

Tror AI for everyone

Los Angeles, CA • On-site

$123K - $148K/yr

Contractor

Posted 24 days ago

Job description

Job Title: AWS Databricks Data Engineer

Job Location: Los Angeles CA (Hybrid)

Hire type: FTE / CTH

Note: Only Locals to California

 

Job Description –

We are seeking a highly skilled AWS Data Engineer with strong expertise in SQL, Python, PySpark, Data Warehousing, and Cloud-based ETL to join our data engineering team. The ideal candidate will design, implement, and optimize large-scale data pipelines, ensuring scalability, reliability, and high performance. This role requires close collaboration with cross-functional teams and business stakeholders to deliver modern, efficient data solutions.

Key Responsibilities

1. Data Pipeline Development

  • Build and maintain scalable ETL/ELT pipelines using Databricks on AWS.
  • Leverage PySpark/Spark and SQL to transform and process large, complex datasets.
  • Integrate data from multiple sources including S3, relational/non-relational databases, and AWS-native services.

2. Collaboration & Analysis

  • Partner with downstream teams to prepare data for dashboards, analytics, and BI tools.
  • Work closely with business stakeholders to understand requirements and deliver tailored, high‑quality data solutions.

3. Performance & Optimization

  • Optimize Databricks workloads for cost, performance, and efficient compute utilization.
  • Monitor and troubleshoot pipelines to ensure reliability, accuracy, and SLA adherence.
  • Apply query optimization, Spark tuning, and shuffle minimization best practices when handling tens of millions of rows.

4. Governance & Security

  • Implement and manage data governance, access control, and security policies using Unity Catalog.
  • Ensure compliance with organizational and regulatory data‑handling standards.

5. Deployment & DevOps

  • Use Databricks Asset Bundles for deployment of jobs, notebooks, and configuration across environments.
  • Maintain effective version control of Databricks artifacts using GitLab or similar tools.
  • Use CI/CD pipelines to support automated deployments and environment setups.

Technical Skills (Required)

  • Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Workflows, Delta Live Pipelines, Databricks Runtime, etc.).
  • Proven ability to implement robust PySpark solutions.
  • Hands‑on experience with Databricks Workflows & orchestration.
  • Solid knowledge of Medallion Architecture (Bronze/Silver/Gold).
  • Significant experience designing or rebuilding batch‑heavy data pipelines.
  • Strong background in query optimization, performance tuning, and Spark shuffle optimization.
  • Ability to handle and process tens of millions of records efficiently.
  • Familiarity with Genie enablement concepts (understanding required; deep experience optional).
  • Experience with CI/CD, environment setup, and Git-based development workflows.
  • Solid understanding of AWS cloud, including:
  • IAM
  • Networking fundamentals
  • Storage integration (S3, Glue Catalog, etc.)

Preferred Experience

  • Experience with Databricks Runtime configurations and advanced features.
  • Knowledge of streaming frameworks such as Spark Structured Streaming.
  • Experience developing real-time or near real-time data solutions.
  • Exposure to GitLab pipelines or similar CI/CD systems.

Certifications (Optional)

  • Databricks Certified Data Engineer Associate / Professional
  • AWS Data Engineer or AWS Solutions Architect certification

Thanks & Regards

Akhil

akhil@tror.ai