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Remote Databricks Developer Jobs in Carson, CA (NOW HIRING)

EDO

Senior Data Engineer

Los Angeles, CA · On-site +1

$160K - $190K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... like LiveRamp, Snowflake or Databricks. * Exposure to identity/entity resolution and/or ...

NEOGOV

Enterprise Architect, Platform

El Segundo, CA · Remote

$73.50 - $94.75/hr

About This role is remote from anywhere in the US or Canada. NEOGOV is a proud AI-Enabled SaaS ... You will work closely with engineering and product leadership to align architecture across key ...

Milliman

Client Success Manager (MedInsight)

Irvine, CA · Remote

$788/wk

Client Success Managers work closely with our client engineering teams (located in both the US and ... Experience with Databricks and cloud platforms, particularly Microsoft Azure * Prior exposure to ...

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All JobsDatabricks Developer JobsRemote Databricks Developer JobsRemote Databricks Developer Jobs in Carson, CA

Remote Databricks Developer information

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.

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 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.
What are popular job titles related to Remote Databricks Developer jobs in Carson, CA? For Remote Databricks Developer jobs in Carson, CA, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Developer jobs in Carson, CA look for? The top searched job categories for Remote Databricks Developer jobs in Carson, CA are:
What cities near Carson, CA are hiring for Remote Databricks Developer jobs? Cities near Carson, CA with the most Remote Databricks Developer job openings:
Remote Databricks Developer jobs near you

Senior Data Engineer

EDO

Los Angeles, CA • On-site, Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 13 days ago

Job description

Who We Are
EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression - across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results - with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO's TV intelligence to know what works.
EDO is headquartered in New York City and Los Angeles with an office space in San Francisco. We recognize the benefits of hybrid working, and want to create the best balance to ensure we can continue working together effectively. For those who reside full-time in NYC, SF, or LA: we have a hybrid work policy of three days in the office and two remote work days.
To learn more about the work we do at EDO, please visit EDO Press.
The Role
As a Senior Data Engineer at EDO, you will join a team of talented Data Engineers working closely with Data Scientists to build out our next generation Ad EnGage data pipeline. This pipeline measures and optimizes the effectiveness of advertising by combining and analyzing dozens of sources of advertising occurrence data, advertising outcome data, identity resolution data, and various other types of data. Our clients use these insights to make critical business decisions about their advertising strategy. You will work with large data sets (trillions of rows and hundreds of TB of data) using a modern tech stack centered on AWS, Airflow, DBT, and Snowflake.
What We Are Looking For
  • 6+ years of data engineering experience and three years of hands-on experience with cloud data platforms (preferably Snowflake or Redshift).
  • Good working knowledge of data warehousing platforms (such as Snowflake, Redshift, etc), cloud computing (such as AWS), and ETL/data pipeline technologies (such as Airflow, DBT).
  • Production experience building and operating complex and scalable data pipelines that optimize on data quality and are resilient to poor quality data sources.
  • Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
  • Strong expertise in SQL, including query optimization/performance tuning, data modeling, schema design, and scalable data architecture.
  • Proficiency in at least one scripting language, with Python preferred.
  • Ability to work independently on loosely defined projects-gathering requirements and making architectural decisions that balance engineering constraints with business needs, while driving projects through to completion and production.

Bonus points:
  • Previous industry experience working with TV or other advertising data is a plus.
  • Familiarity with data security, privacy, including handling sensitive enterprise data, PII, and compliance-driven pipelines.
  • Exposure to Data Clean Room concepts/implementation and Clean Room platforms like LiveRamp, Snowflake or Databricks.
  • Exposure to identity/entity resolution and/or householding concepts/implementation.
  • A strong understanding of software engineering practices, principles, and fundamentals.

Compensation and Benefits
EDO offers a competitive compensation package. Components of compensation include:
  • Mid-stage equity and competitive salary
  • Flexible Time Off
  • Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
  • 401(k) plan, FSA, HSA
  • Commuter Benefits
  • When in an office, employee meals, snacks, and more

In compliance with New York and California Pay Transparency Law, the salary range for this position is $160,000 to $190,000 plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.
EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.

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