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Remote Databricks Developer Jobs in Pico Rivera, CA

Sr. Data Engineer

El Segundo, CA ยท On-site +1

$140K - $150K/yr

Design and build scalable data pipelines and models using Databricks, PySpark, and SQL to support ... Develop and maintain infrastructure using Terraform and support DevOps tasks including deployments ...

Senior Software Engineer

Los Angeles, CA ยท On-site +1

$160K - $224K/yr

Design, build, and scale distributed Scala/Spark pipelines on Databricks that compute audience ... We will consider remote candidates for this role. #Ll-KD1 #Adrise #Ll-Hybrid Learn more about Fox ...

Senior Engineer

Los Angeles, CA ยท On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... AWS, Databricks, Docker. We're looking for someone with: * 4+ years of relevant professional ...

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Sr. Database Administrator

Los Angeles, CA ยท 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 ...

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Remote Databricks Developer information

What is a remote Databricks developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.

How does a remote Databricks developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What are the key skills and qualifications needed to thrive as a remote Databricks developer, and why are they important?

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

What is the difference between Remote Databricks Developer vs Data Engineer?

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

What cities near Pico Rivera, CA are hiring for Remote Databricks Developer jobs?

Cities near Pico Rivera, CA with the most Remote Databricks Developer job openings:

Sr. Data Engineer

El Segundo, CA โ€ข On-site, Remote

$140K - $150K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 27 days ago


Job description

Job Description

Fabletics is currently looking for a Senior Data Engineer.

How Do You Fit In?

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and models that power the business insights driving our growth. You'll leverage cloud technologies, automation, and modern data engineering practices to transform complex datasets into reliable, high-quality assets. Working closely with teams across Product, Marketing, Finance, and Data Science, you'll translate business needs into robust technical solutions that improve data accessibility, performance, and governance - all in service of making Fabletics a more data-informed, faster-moving company.

About the Team

We're a lean, high-impact Data Engineering team building the data foundations that power measurement, personalization, and product innovation at Fabletics. Operating at the intersection of engineering, analytics, and business strategy, we deliver scalable pipelines and accurate performance insights that drive decisions across the company - from merchandising and member experience to marketing efficiency and supply chain. We move quickly, own problems end-to-end, and build systems that directly influence how Fabletics grows. If you want to build reliable, scalable data systems with real, visible impact, this is the team for you.

What You'll Do:

  • Design and build scalable data pipelines and models using Databricks, PySpark, and SQL to support Fabletics' commerce, membership, and marketing data needs.

  • Integrate and transform data from multiple sources - including e-commerce platforms, CRM, logistics, and third-party tools - with strong quality, observability, and governance standards.

  • Orchestrate and automate workflows using Airflow and CI/CD pipelines in GitHub Actions.

  • Develop and maintain infrastructure using Terraform and support DevOps tasks including deployments, monitoring, and environment management.

  • Optimize pipelines for reliability, performance, and cost efficiency across cloud environments.

  • Collaborate closely with Product, Data Science, Marketing Analytics, and Engineering teams to deliver scalable, efficient data solutions that support Fabletics' pace of business.

What You Can Bring:

  • 6+ years of relevant development experience-in data platform or data engineering-in fast paced environments

  • Extensive experience in data engineering, including scalable pipeline development, data integration, and data modeling.

  • Strong proficiency in SQL, Python, PySpark, Databricks, Snowflake and workflow orchestration with Airflow.

  • Hands-on experience with CI/CD using GitHub Actions and infrastructure automation with Terraform.

  • Strong grounding in data governance, data quality, and compliance best practices.

  • Ability to design resilient data architectures across warehouses, lakes, and streaming systems.

  • Proven skill in translating complex business requirements into effective, maintainable data solutions.

  • Familiarity with machine learning concepts and how they integrate with data engineering workflows.

  • A genuine interest in integrating AI and LLMs into daily engineering work, including agentic development patterns - building autonomous, multi-step AI workflows that enhance data pipelines and engineering productivity - without sacrificing simplicity or code maintainability.

  • Ideal candidate brings foundational AI literacy, including experience using generative AI tools, and a proactive mindset to experiment with new technologies to drive productivity and innovation.

  • Bonus: experience in retail, e-commerce, or subscription/membership business models.

Where we are:

  • This role will be based in our El Segundo Headquarters

Compensation & Total Rewards:

At Fabletics, we believe work and life should fit together!We continue to build a culture of flexibility, to empower you to do your best and put yourself first.Our Total Rewards program rewards employees for their hard work, supporting their health, well-being, families, and ultimately their life journey. Total Rewards at Fabletics includes:

-Hybrid Work Schedule*

-Discretionary Paid Time Off*

-Summer Fridays*

-Healthcare Plans

-Employee Discounts

-401k

-Annual Bonus Program

-Equity Program*

-And More

*Varied for retail, fulfillment and fully remote roles.

The annual basesalary range for this position is from $140,000-$150,000. The range provided includes the base salary that Fabletics expects topayfor the role. Offered base salary will be dependent on factors including the scope and complexity of the role, candidate's related work experience, subject matter expertise and work location.

#LI-LS1

#LI-Fabletics

Security Alert: Protect yourself from scams

At Fabletics, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Fabletics emphasizes legitimate recruitment practices. Initial communication is primarily via official email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Teams or Zoom-never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.

Fabletics, Inc. is anequalopportunity employer. We recruit, employ, compensate,develop,and promote regardless of race,national origin,religion, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, and other protected status as required by applicable.At Fabletics, Inc., we champion a vibrant workplace culture that thrives ondiversity law and do not tolerate discrimination or harassment. We are one team from many backgrounds, innovating through diversity of individuals, who are driven by passion for creating an inclusive space for all.Fabletics, Inc. will continue to champion a workplace culture that prizes diversity and inclusivity.

We encourage you to apply regardless of meeting all qualifications and/or requirements.