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Aws Databricks Data Engineer Jobs (NOW HIRING)

K-Tek Resourcing LLC

AWS Data Engineer

Holmdel, NJ · On-site

$127K - $153K/yr

... an ETL/ELT developer/data engineer. * 3+ years of Databricks data engineering experience ... Expert in AWS, Databricks, Python, Spark * Stron g SQL, and UNIX Shell scripting experience

Sharpedge Solutions

Data Engineer

Holmdel, NJ · On-site

$127K - $153K/yr

Data Engineer 12+ Month contract Location - Holmdel, NJ -Hybrid who is a self-starter, fueled by ... Expert in AWS Databricks, Python, Spark * Strong SQL, and UNIX Shell scripting experience

RADcube

AWS Data Engineer - Databricks

Indianapolis, IN · On-site

$109K - $131K/yr

... AWS Data Engineer to support a strategic STRADA Modernization initiative . This role focuses on building and supporting a modern AWS + Databricks Lakehouse platform to enable advanced healthcare ...

CYNET SYSTEMS

Data Engineer

Jersey City, NJ · On-site

$55 - $60/hr

... an ETL/ELT developer/data engineer. * 3+ years of Databricks data engineering experience ... Expert in AWS Databricks, Python, Spark. * Strong SQL and UNIX Shell scripting experience.

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 ...

InnoCore Solutions, Inc.

Databricks Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Build and maintain data ingestion frameworks from various enterprise source systems into AWS-based ... Databricks certifications such as Databricks Certified Data Engineer Associate or Professional

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 ...

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 ...

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

As of Jul 21, 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 9 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