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Contract Databricks Data Engineer Jobs in Santa Ana, CA

BAU_L3 Support_Data Engineer

Irvine, CA · On-site

$121K - $145K/yr

Required : • Strong experience with Databricks, Apache Spark, and performance tuning. • ... Data Engineering, ETL/ELT, and large-scale data platforms. • Experience with CI/CD, DevOps, ...

Sr. Data Engineer Specialist

Brea, CA · On-site

$118K - $141K/yr

The Data Engineer will build and maintain data pipelines and infrastructure to support the ... Databricks, etc.). • Exposure to real-time data processing or streaming systems. • Experience ...

Be Seen First

... Databricks. · Experience integrating APIs and REST services and working with JSON, XML, or other ... contracts. We are head quartered in Southern California and have a market presence coast-to-coast.

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Overview The Data Engineer IV will design and lead the build-out of Planet DDS's next-generation ... Databricks, Snowflake, Redshift, BigQuery, or similar) and AI/ML platforms. * Strong understanding ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

New

Bachelor's or Master's degree in Computer Science, Engineering, or related field. * 10+ years in data engineering/architecture with substantial hands-on depth in Azure. * Expert in Azure Databricks ...

Data Engineer (Multiple Levels)

Alhambra, CA · On-site +1

$105K - $200K/yr

We are currently seeking highly motivated Data Engineers at various levels. This role will report ... Working experience with Databricks preferred * Familiarity with business intelligence exploratory ...

Showing results 41-60

Contract Databricks Data Engineer information

See Santa Ana, CA salary details

$46.3K

$135K

$184.7K

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

As of Aug 23, 2026, the average yearly pay for contract databricks data engineer in Santa Ana, CA is $134,980.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,100.00 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 are the most commonly searched types of Databricks Data Engineer jobs in Santa Ana, CA?

The most popular types of Databricks Data Engineer jobs in Santa Ana, CA are:

What are popular job titles related to Contract Databricks Data Engineer jobs in Santa Ana, CA?

For Contract Databricks Data Engineer jobs in Santa Ana, CA, the most frequently searched job titles are:

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

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

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

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

Lead Data Engineer (Data Engineering Tower Lead)

ClifyX

Irvine, CA • On-site

$110K - $144K/yr

Other

Re-posted 27 days ago


Job description

Lead Data Engineer (Data Engineering Tower Lead)

Location: Irvine, CA
Experience: 8–14 Years

Position Overview

We are seeking an experienced Lead Data Engineer to oversee enterprise-scale data engineering initiatives and manage multiple delivery teams. This role will be responsible for end-to-end data platform delivery, operational excellence, platform reliability, and stakeholder engagement while driving scalable data solutions that support critical business functions.

The ideal candidate will possess strong expertise in modern data engineering platforms, workflow orchestration, cloud-native architectures, and large-scale data processing environments.


Required Skills & QualificationsData Engineering & Big Data Technologies
  • Strong hands-on experience with:
    • Databricks
    • Apache Spark
    • Distributed Data Processing
    • Performance Tuning & Optimization
  • Deep understanding of:
    • Data Engineering Architecture
    • ETL/ELT Frameworks
    • Data Warehousing Concepts
    • Large-Scale Data Platforms
  • Experience building scalable and reliable data pipelines.
Workflow Orchestration
  • Expertise in:
    • Apache Airflow
    • Astronomer
    • Workflow Automation
    • DAG Design & Management
  • Experience managing complex data workflows and dependencies.
DevOps & Platform Engineering
  • Strong knowledge of:
    • CI/CD Pipelines
    • DevOps Practices
    • Infrastructure as Code (IaC)
    • Automation Frameworks
  • Experience supporting cloud-native and enterprise data platforms.
Platform Operations & Reliability
  • Experience with:
    • Platform Monitoring
    • Incident Management
    • Alerting & Observability
    • Production Support
    • Operational Readiness
  • Proven ability to maintain highly available and resilient data environments.
Leadership & Stakeholder Management
  • Experience leading multiple data engineering teams, pods, or delivery streams.
  • Strong communication and stakeholder management skills.
  • Ability to coordinate across onshore, offshore, and distributed global teams.
  • Experience managing project risks, dependencies, and escalations.
Preferred Industry Experience
  • Asset Management
  • Investment Management
  • Capital Markets
  • Portfolio Analytics Platforms
  • Market Data Platforms
  • Financial Services Data Ecosystems

Key ResponsibilitiesTeam Leadership
  • Lead and manage multiple data engineering teams and delivery pods.
  • Provide technical direction, mentorship, and delivery oversight.
  • Foster collaboration across geographically distributed teams.
Data Platform Delivery
  • Own end-to-end delivery of enterprise data engineering solutions.
  • Drive development of scalable, high-performance data pipelines.
  • Ensure platform stability, reliability, and operational excellence.
Platform Operations
  • Establish and maintain monitoring, alerting, and incident management processes.
  • Ensure platform availability and production support readiness.
  • Drive continuous improvements in platform performance and reliability.
Stakeholder Engagement
  • Partner with business, technology, and leadership teams to understand requirements and priorities.
  • Manage cross-functional dependencies and project communications.
  • Provide regular updates on delivery progress, risks, and operational metrics.
Governance & Best Practices
  • Define and implement standards for:
    • Data Engineering Best Practices
    • Platform Governance
    • Operational Readiness
    • Performance Optimization
    • Automation & Deployment Processes
  • Promote engineering excellence and continuous improvement across teams.
Delivery & Operational Excellence
  • Ensure adherence to SLAs and operational objectives.
  • Drive data quality, scalability, and performance initiatives.
  • Lead issue resolution, root cause analysis, and production support activities.

Preferred Leadership Skills
  • Strong leadership and people management capabilities.
  • Excellent communication and stakeholder engagement skills.
  • Experience leading enterprise-scale data engineering programs.
  • Strong analytical, problem-solving, and decision-making abilities.
  • Ability to operate effectively in fast-paced, highly collaborative environments.
  • Experience managing globally distributed teams and complex delivery programs.
Keywords

Data Engineer Lead, Data Engineering Manager, Databricks, Apache Spark, Apache Airflow, Astronomer, ETL, ELT, Data Pipelines, Data Platform, CI/CD, DevOps, Infrastructure as Code, Cloud Data Engineering, Data Architecture, Big Data, Platform Reliability, Incident Management, Financial Services, Asset Management, Investment Management, Capital Markets, Team Leadership.


ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998