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Contract Databricks Data Engineer Jobs in Upland, CA

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142K/yr

Collaborate with data engineers to integrate Python-based solutions into existing data ... and contract wage rates, relevant prior work experience, specific skills and competencies ...

CACi

Data Analyst

Riverside, CA

$142K/yr

Collaborate with data engineers to integrate Python-based solutions into existing data ... and contract wage rates, relevant prior work experience, specific skills and competencies ...

CACI

Data Analyst

Riverside, CA

$142K/yr

Collaborate with data engineers to integrate Python-based solutions into existing data ... and contract wage rates, relevant prior work experience, specific skills and competencies ...

Slalom Consulting

General Information

Orange, CA · On-site

Experience: * 15+ years in consulting leadership, with at least 5+ years specializing in data architecture and engineering solutions within cloud environments (Experience with Databricks or Snowflake ...

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

Contract Databricks Data Engineer information

See Upland, CA salary details

$45.3K

$132.1K

$180.8K

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

As of Sep 7, 2026, the average yearly pay for contract databricks data engineer in Upland, CA is $132,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $140,000.00 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 Upland, CA look for?

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

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

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

Contract Databricks Data Engineer jobs near you

Data Engineer II

Inland Empire Health Plans

Rancho Cucamonga, CA • On-site

$100 - $125/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago

Job description

What you can expect!

Find joy in serving others with IEHP! We welcome you to join us in “healing and inspiring the human spirit” and to pivot from a “job” opportunity to an authentic experience!

The Data Engineer II assists in the implementation of methods to improve data reliability and quality. This role is responsible for combining raw information from different sources to create consistent and machine-readable formats. The Data Engineer II must also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. The Data Engineer II will focus on data accessibility, which will enable the organization to utilize data for performance evaluation and optimization. The data Engineer II is also responsible for managing the entire back-end development life cycle for the company's enterprise data warehouse. In this role the incumbent will handle tasks associated with the implementation of ETL procedures, building warehouse databases, database performance management, and dimensional modeling and design of the table structures.

Commitment to Quality: The IEHP Team is committed to incorporate IEHP’s Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.


Perks

IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.

  • Competitive salary.
  • Hybrid schedule.
  • State of the art fitness center on-site.
  • Medical Insurance with Dental and Vision.
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development.
  • Wellness programs that promote a healthy work-life balance.
  • Flexible Spending Account – Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance

Education & Requirements
  • Four (4) years of relevant work experience. Experience and knowledge in logical, rational, dimensional, and physical data modeling. Background in database systems along with a strong knowledge of SQL. Experience with Orchestration tools, Azure DevOps, and CI/CD. Intermediate experience with the following tools and technologies:
    • Azure Data Catalogue / Purview
    • Azure Cloud
    • Databricks
    • Power BI Dataflows
    • Power Query
    • Azure Cosmos
    • Azure Monitor
    • PowerShell
    • Python
  • Development experience using PySpark, Spark, Hadoop, Kubernetes, and RDMIS is highly desired
  • Bachelor's degree from an accredited institution required
    • Master’s degree from an accredited institution preferred
    • Azure Data Engineering Certification is preferred

Key Qualifications
  • Multi-server environment knowledge such as linked servers, data replication, backup/restore with MS SQL Server 2008+
  • Knowledge of applicable data privacy practices and laws
  • Highly skilled in developing and optimizing T-SQL (DDL, DML, DCL) queries, stored procedures, functions, and views for various applications that involve numerous database tables and complex business logic
  • Good written and oral communication skills
  • Strong technical documentation skills
  • Good interpersonal skills
  • Highly self-motivated and directed
  • Keen attention to detail
  • Proven analytical and problem-solving abilities
  • Ability to effectively prioritize and execute tasks in a high-pressure environment

Start your journey towards a thriving future with IEHP and apply TODAY!

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