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Aws Databricks Data Engineer Jobs (NOW HIRING)

HMG America

Senior Data Engineer (AWS Databricks)

Seattle, WA · On-site

$119K - $163K/yr

Senior Data Engineer (AWS Databricks) Location: Seattle, WA / Dallas, TX / Phoenix, AZ / Charleston, SC (Hybrid . 1-2 days/ week) ROLE OVERVIEW We are looking for a Senior Data Engineer to own the ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site

$120K - $150K/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 ...

RIT Solutions, Inc.

Databricks Data Engineer

$117K - $140K/yr

RIT Solutions, Inc. is seeking a Databricks Data Engineer to work with data in the ecommerce sector ... Required : • Cloud Platform - GCP preferred!! but Azure, AWS are okay. • ETL, ELT, Data ...

HMG America

Data Architect (AWS Databricks)

Seattle, WA · On-site

$73.75 - $96.75/hr

Title: Data Architect (AWS Databricks) Location: Seattle, WA / Dallas, TX / Phoenix, AZ ... This role combines deep hands-on engineering with team leadership, covering data ingestion ...

Summitpointaiglobal

DataBricks Data Engineer

New York, NY · On-site

$125K - $150K/yr

Databricks Data Engineer We are seeking a skilled and experienced Databricks Data Engineer to join ... Experience integrating Databricks with cloud platforms (Azure, AWS, or GCP) and data sources such ...

Guidehouse

Databricks Data Engineer

$113K - $188K/yr

None Guidehouse is seeking a Databricks Data Engineer to join our AI & Data team to support client ... Experience with cloud platforms such as Azure, AWS, or GCP. * Experience working in project-based ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$90K - $100K/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 ...

Guidehouse

Databricks Data Engineer

$113K - $188K/yr

None Guidehouse is seeking a Databricks Data Engineer to join our AI & Data team to support client ... Experience with cloud platforms such as Azure, AWS, or GCP. * Experience working in project-based ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$120K - $150K/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 ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site

$90K - $100K/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 ...

MDMS Recruiting

Databricks Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer, Databricks Location: New York NY (3 days onsite), w2 only, local candidates only ... Experience integrating Databricks with cloud platforms (Azure, AWS, or Google Cloud Platform) and ...

Overture Partners

DataBricks Data Engineer

New York, NY · On-site

$65 - $68/hr

Experience integrating cloud-based data platforms and services within Azure, AWS, or Google Cloud ... Databricks Certified Data Engineer Associate or Professional certification is considered an ...

eSolutionsFirst, LLC

Databricks Architect

Mclean, VA · On-site

$66.50 - $87.25/hr

Databricks SQL * ETL/ELT and data engineering * Strong Python, SQL, and PySpark skills. * Experience with Azure Databricks, AWS Databricks, or Databricks on Google Cloud Platform. * Strong ...

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision ...

eSolutionsFirst, LLC

Databricks Architect

Mclean, VA · On-site

$66.50 - $87.25/hr

Databricks SQL * ETL/ELT and data engineering * Strong Python, SQL, and PySpark skills. * Experience with Azure Databricks, AWS Databricks, or Databricks on Google Cloud Platform. * Strong ...

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Aws Databricks Data Engineer information

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

As of Sep 5, 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.

AWS Databricks Data Engineer

Tror AI for everyone

Los Angeles, CA • On-site

$123K - $148K/yr

Contractor

Re-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