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Contract Databricks Data Engineer Jobs in Whittier, CA

Mondo

Senior Databricks Data Engineer

Marina Del Rey, CA · On-site

$200K - $225K/yr

Implement curated data products with clear contracts covering schemas, SLAs, data quality rules ... Databricks Certified Data Engineer Professional certification (Associate certification also ...

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$90K - $150K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... Experience with Databricks, including Delta Lake and Unity Catalog, is a plus. * Prior experience ...

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... Experience with Databricks, including Delta Lake and Unity Catalog, is a plus. * Prior experience ...

YO AI Labs

Senior Data Engineer

Glendale, CA · On-site

$112K - $152K/yr

Contract, On-site Must Haves: * Candidates must be willing to work on W2, no C2C. * 5+ years of data engineering experience specifically developing large-scale data pipelines. * Databricks and Python ...

1 point system

Data Engineer

Los Angeles, CA · On-site

$60/hr

... Contract Rate $60/hr. on W2 * Serve as developer of key DTC analytical models like customer ... Experience with cloud-based environments (AWS, GCP, Databricks) and MLOps practices * Strong ...

Northern Base

Lead Data Engineer

Irvine, CA · On-site

$110K - $144K/yr

Lead Data Engineer - MSS Irvine, CA Fulltime Lead Data Engineer - MSS Must Have Technical ... Design, build, and maintain scalable data pipelines using Databricks, PySpark, SQL, and Python.

New

Pwc

Data Engineer - Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Pwc

Data Engineer - Senior Manager

Los Angeles, CA

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Pwc

Data Engineer - Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Tata Consultancy Service Limited

Data Engineer

Irvine, CA · On-site

$120K - $150K/yr

Data Engineer We are seeking project based Platform Engineering delivery support with strong, hands on technical depth in the following areas: • Databricks advanced Spark, performance tuning ...

Pwc

Data Engineer - Manager

Irvine, CA · On-site

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Virtusa Corporation

AWS Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

The ideal candidate will have strong expertise in AWS data services, Databricks, Python, and CI/CD ... Mentor junior engineers, perform code reviews, and promote engineering best practices. Participate ...

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All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Whittier, CA

Contract Databricks Data Engineer information

See Whittier, CA salary details

$47K

$137.1K

$187.7K

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

As of Aug 21, 2026, the average yearly pay for contract databricks data engineer in Whittier, CA is $137,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What job categories do people searching Contract Databricks Data Engineer jobs in Whittier, CA look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Whittier, CA are:

What cities near Whittier, CA are hiring for Contract Databricks Data Engineer jobs?

Cities near Whittier, CA with the most Contract Databricks Data Engineer job openings:

Contract Databricks Data Engineer jobs near you

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