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Remote Databricks Data Engineer Jobs in Compton, CA

Headspace

Manager, Data Analytics

Santa Monica, CA · On-site +1

$158K - $224K/yr

Provide thought leadership by collaborating with Product, Engineering, Marketing, and Operations to ... S3, Databricks, Datalakes, and Spark); and SQL, Python, R, Looker, Tableau, Statistics, Amplitude ...

Arena Club

Senior Analytics Engineer

Los Angeles, CA · On-site +1

About the Role This is a hands-on data role for someone who can work independently while partnering ... Proficient in SQL (Snowflake, Databricks, Big Query, etc.) * Production experience owning or ...

Arena Club

Senior Analytics Engineer

Los Angeles, CA · On-site +1

$130K - $165K/yr

About the Role This is a hands-on data role for someone who can work independently while partnering ... Proficient in SQL (Snowflake, Databricks, Big Query, etc.) * Production experience owning or ...

Sapta Global Inc

Big Data Developer

Signal Hill, CA · Remote

$56.50 - $73.50/hr

Remote Salary: $ 65/hrDuration: CTH 6 Months Start: Asap SGI is searching for a Power BI Report ... This global organization is expanding their data department. They want a Sr. Developer who is ...

Viking Cruises US

AI Engineer

Los Angeles, CA · On-site +1

$175K - $200K/yr

Demonstrate strong data science expertise with working knowledge of Databricks concepts and ... Integrate agents into engineering workflows and tools such as source control, CI/CD pipelines ...

eShipping, LLC

Lead Analytics Engineer

Los Angeles, CA · Remote

$80K - $115K/yr

... Databricks, Azure Data Lake, or comparable environments Minimum Education and Experience • ... data engineering, or a senior data analyst role with significant hands-on data modeling ...

Apply Early

Axos Bank

Sr. Database Administrator

Los Angeles, CA · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... This role combines strong database administration expertise with modern data engineering ...

Generac

Sales Engineer - Data Centers

Los Angeles, CA · On-site +1

The Sales Engineer - Data Centers works under the guidance of the Senior Director of Sales - Data ... This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ...

Molina Healthcare

Data Scientist

Long Beach, CA · On-site +1

$79K - $172K/yr

Work closely with cross-functional teams, including software engineers, product managers, and ... Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models ...

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Remote Databricks Data Engineer information

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$45.2K

$131.7K

$180.3K

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

As of Jul 4, 2026, the average yearly pay for remote databricks data engineer in Compton, CA is $131,742.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $139,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
What are the most commonly searched types of Databricks Data Engineer jobs in Compton, CA? The most popular types of Databricks Data Engineer jobs in Compton, CA are:
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Remote Databricks Data Engineer jobs near you

Senior Consultant - Data & Analytics

Qvest US

Los Angeles, CA • On-site, Remote

Full-time

Posted 2 days ago

Be an early applicant

Job description

Who We Are

Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.


Who We're Seeking
Qvest.US is seeking an experienced Data & Analytics Senior Consultant to join our growing data practice. In this role, you will participate in projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data consultant who can successfully work with client projects, teams, and stakeholders.
What You'll Do
  • Participate on project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment
  • Perform hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks
  • Be the expert in various client meetings such as stakeholder interviews & workshops
  • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
  • Proactively identify risks, issues and provide mitigation strategies
  • Build and maintain strong client relationships
  • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
What You'll Bring
  • Eagerness to participate in a best-in-class data practice
  • 3+ years Project Management, Process, Implementation, and SDLC experience working closely with data professionals in an Agile environment
  • Experience with client-facing activities such as requirements gathering, meeting facilitation & presentation creation, and deliverable review/approval sessions
  • 5+ years in a consulting role or a data-focused role and strong experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar
  • Experience designing and building relational database and/or data warehouses
  • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, PowerBI, Looker, etc.
Preferred Additional Experience
  • Experience in Media & Entertainment and/or Consumer Products industries
  • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)
  • Cloud computing experience, whether with AWS or other vendors
  • Ability to automate data-related tasks using scripts and programming languages
  • Ability to profile, explore, and analyze data to identify common data patterns
  • Ability to present data solutions to business stakeholders with clear business acumen
  • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytics fields
  • Familiarity with dbt (https://getdbt.com)
Travel Requirements
Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. 
 
Remote & Hybrid Work
While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.
 
Life at Qvest
We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel."
 
Equal Employment Opportunity
Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.