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Remote Python Data Engineer Jobs in California (NOW HIRING)

Data Engineer, Analytics

San Francisco, CA ยท Remote

$160K - $180K/yr

Fluency in Python or another programming language * Experience building and owning executive-level ... Strong business acumen, you will partner with data scientists and product managers to translate ...

AI and Data Engineer

Santa Clara, CA ยท On-site +1

$29/hr

Profession (Job Category): IT, Telecom & Internet Job Schedule: Full time Remote: No AI and Data ... Proficiency in programming languages such as Python, Jupyter Notebooks, and Markdown, with the ...

Senior Data Engineer

Sacramento, CA ยท Remote

$113K - $153K/yr

Implement the designed data pipelines and backend services in Python on AWS * Design and manage AWS ... Remote within the United States * Must be authorized to work in the U.S. without employer ...

Data Engineer

San Francisco, CA ยท Remote

$134K - $162K/yr

We're ready to welcome Slite's first data engineer ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

Senior Data Engineer (Level II & Level III) Level II is Remote work Level III is Onsite at Los Angeles, CA We are looking for experienced Data Engineers to support a large-scale Oracle to Snowflake ...

Senior Data Engineer

Los Angeles, CA ยท 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 ... Proficiency in at least one scripting language, with Python preferred. * Ability to work ...

Data Engineer

San Francisco, CA ยท Remote

$134K - $162K/yr

We're ready to welcome Slite's first data engineer ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

Data Engineer

San Francisco, CA ยท On-site +1

$134K - $162K/yr

We are looking for an experienced Data Engineer to partner with our Data Science and Data ... Fluency with both SQL and Python. * Familiarity with Snowflake, dbt, Dagster, and ETL/reverse ETL ...

Senior Data Engineer

San Mateo, CA ยท On-site +1

$120K - $164K/yr

We are looking for a savvy Data Engineer to join our growing team of data experts. The hire will be ... Proficiency in Python and advanced SQL. * Advanced experience with ETL pipelines, data modeling and ...

Staff Data Engineer, Analytics

San Francisco, CA ยท On-site +1

$248K - $279K/yr

Design and build sophisticated data models and analytical frameworks using SQL, Python, and modern ... Lead cross-functional technical initiatives across product verticals and mentor engineers to ...

... g., Python, C++, C#, Scala or others.) Preferred Qualifications: * Master's or Ph.D degree in a STEM field * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... g., Python, C++, C#, Scala, etc.) Preferred Qualifications: * Master's or Ph.D degree in a STEM ...

... g., Python, C++, C#, Scala or others.) Preferred Qualifications: * Master's or Ph.D degree in a STEM field * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... g., Python, C++, C#, Scala, etc.) Preferred Qualifications: * Master's or Ph.D degree in a STEM ...

... g., Python, C++, C#, Scala or others.) Preferred Qualifications: * Master's or Ph.D degree in a STEM field * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive ...

Senior Data Engineer

San Francisco, CA ยท Remote

$124K - $169K/yr

About The Role We are seeking a Senior Data Engineer to help strengthen Arena Club's strategic ... Glue (both Python Shell and Spark ETL), Redshift, S3, IAM, EventBridge, Lambda, AppFlow Strong SQL ...

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Remote Python Data Engineer information

See California salary details

$65.9K

$149.3K

$211.6K

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

As of Jun 18, 2026, the average yearly pay for remote python data engineer in California is $149,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,300.00 and $172,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Python Data Engineer, you need strong proficiency in Python, data modeling, and ETL pipeline development, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, SQL databases, cloud platforms (such as AWS or GCP), and certifications in data engineering are highly valuable. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills ensure efficient data processing, seamless teamwork across distributed environments, and the reliable delivery of scalable data solutions.

How do Remote Python Data Engineers typically collaborate with distributed teams to ensure smooth project delivery?

Remote Python Data Engineers work closely with cross-functional teams, including data scientists, analysts, and DevOps engineers, often using collaboration tools like Slack, Jira, and GitHub to coordinate work. Regular virtual meetings, clear documentation, and code reviews are essential for maintaining alignment and ensuring code quality. Emphasis is placed on asynchronous communication and well-structured version control practices to overcome time zone differences and keep projects on track. Adapting to these remote workflows is key for successful project delivery in a distributed environment.

What is a Remote Python Data Engineer?

A Remote Python Data Engineer is a professional who specializes in designing, building, and maintaining data pipelines and architectures, primarily using Python, while working from a location outside of a traditional office setting. They are responsible for collecting, transforming, and storing vast amounts of data to support analytics and business intelligence tasks. Their role often involves working with cloud platforms, databases, and big data technologies to ensure efficient data processing and accessibility for other teams. Remote Python Data Engineers collaborate with data scientists, analysts, and developers, leveraging Python's extensive libraries to automate workflows and solve complex data challenges.

What is the difference between Remote Python Data Engineer vs Remote Data Scientist?

AspectRemote Python Data EngineerRemote Data Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in CS, Statistics, Data Science certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, marketing agencies
Common Search & ComparisonYesYes

Remote Python Data Engineers focus on building and maintaining data pipelines and infrastructure using Python, while Remote Data Scientists analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within data teams.

Data Engineer, Analytics

Data Engineer, Analytics

Discord

San Francisco, CA โ€ข Remote

$160K - $180K/yr

Other

Posted 4 days ago


Job description

Discord is looking for an experienced and passionate Data Engineer, Analytics to join our data team! You will be owning the transformation and semantic layer that turns data into clean, tested, well-documented tables and dashboards that data scientists, product managers, and business stakeholders can trust and self-serve from. You'll define and operationalize the metrics that inform how we identify opportunities, measure success, and make decisions. If this sounds exciting to you and you're passionate about data modeling, metric design, and empowering teams to move faster with reliable data, read on!

We're hiring for multiple verticals on our Data Engineering team, including Growth and Safety.

What you will be doing:

  • Design, build, and maintain curated analytical datasets and data models that serve as the canonical sources for metrics, dashboards, and analyses.
  • Partner closely with data science, product managers, and engineering teams to translate business questions into well-modeled, performant, and discoverable data assets.
  • Execute metric workflows, from metric definition and logging schema design to data modeling and visualization, with guidance from manager and senior team members.
  • Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions.

What you should have

  • 2+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets
  • 2+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources to power a variety of use cases, including experimentation
  • 2+ years of experience writing accurate and effective SQL
  • Fluency in Python or another programming language
  • Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar)
  • Strong business acumen, you will partner with data scientists and product managers to translate ambiguous questions into concrete metric definitions and data models
  • Excellent communication, comfortable being the connective tissue between technical and business teams
  • Last but not least, desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord

Bonus Points:

  • Passion for Discord or online communities
  • Experience building or contributing to a semantic layer or metrics store
  • Experience with modern analytics and data engineering tools (dbt, BigQuery etc)
  • Experienceย implementing and monitoring audits for data quality with massive data setsย (e.g. billions of rows)
  • Experience working on SEO, GEO, or other top of funnel growth focused features.
  • Experience collaborating with compliance, legal, or litigation cross-functional teams.

The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.