1

Weekend Financial Data Engineer Jobs in California

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... financial context and commitment to maintaining its quality. • Good communication skills to work with cross-functional teams (from engineering to product to business) on data needs and ...

Data Engineer

San Francisco, CA · On-site

$230K - $385K/yr

... Finance, and Research to understand their data needs and provide solutions. * Implement robust and ... Participate in data architecture and engineering decisions, bringing your strong experience and ...

Data Engineer, Strategic Finance

Palo Alto, CA · On-site

$134K - $161K/yr

Whop is a financial technology company on a mission to provide the world with sustainable income. They are seeking a Data Engineer for Strategic Finance to build datasets and models that turn raw ...

Sr. Data Engineer

Palo Alto, CA · On-site

$145K - $220K/yr

In this role you will partner closely with our data lead to model core financial entities, integrate internal and external sources, and build the pipelines and infrastructure that let our engineering ...

... of medical, financial, and/or other benefits, dependent on the level and position offered. Job ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL ...

Staff Data Engineer

Santa Clara, CA · On-site +1

$134K - $161K/yr

As a Staff Data Engineer, you will provide technical leadership in the design, development, and ... Financial reporting * Fraud and risk analytics * Regulatory reporting * Capture and transform ...

Sr. Data Engineer

Palo Alto, CA · Remote

$134K - $161K/yr

In this role you will partner closely with our data lead to model core financial entities, integrate internal and external sources, and build the pipelines and infrastructure that let our engineering ...

About Whop Whop is a financial technology company on a mission to provide the world with ... About the Role We're hiring our first dedicated Data Engineer inside Strategic Finance, and the job ...

Data Engineer

San Francisco, CA · On-site

$120K - $151K/yr

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and ... Data at Brex Our Scientists and Engineers work together to make data - and insights derived from ...

About Whop Whop is a financial technology company on a mission to provide the world with ... About the Role We're hiring our first dedicated Data Engineer inside Strategic Finance, and the job ...

Data Engineer (DataOps)

Cupertino, CA · On-site

$141K - $169K/yr

You will build, test, and maintain the data solutions that give our Sales & Finance teams the ... Data Engineering: * Develop and maintain efficient, reliable methods of consuming data from a ...

Data Engineer

San Francisco, CA · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma ... Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville ...

Senior Data Engineer

San Francisco, CA · On-site

$200K - $400K/yr

Exposure to quantitative or financial data environments where correctness and latency matter. * Experience being an early or first data engineering hire. You've built from zero before and know what ...

Senior Data Engineer

San Francisco, CA · On-site

$200K - $400K/yr

Exposure to quantitative or financial data environments where correctness and latency matter. * Experience being an early or first data engineering hire. You've built from zero before and know what ...

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

... financial data environments where correctness and latency matter. • Experience being an early or first data engineering hire. You've built from zero before and know what to prioritize. Company

Showing results 41-60

Weekend Financial Data Engineer information

What is the difference between Weekend Financial Data Engineer vs Weekend Financial Data Analyst?

AspectWeekend Financial Data EngineerWeekend Financial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related; strong analytical skills
Work EnvironmentFocus on building data pipelines, managing databases, and infrastructureFocus on analyzing data, creating reports, and providing insights
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanking, investment firms, financial consultancies
Common Search & ComparisonOften compared based on technical skills and infrastructure tasksCompared based on analytical skills and reporting capabilities

The Weekend Financial Data Engineer primarily focuses on developing and maintaining data infrastructure, requiring technical skills in data engineering tools. In contrast, the Weekend Financial Data Analyst emphasizes analyzing financial data and generating insights. Both roles are vital in financial organizations but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Financial Data Engineer jobs in California? The most popular types of Financial Data Engineer jobs in California are:
What are popular job titles related to Weekend Financial Data Engineer jobs in California? For Weekend Financial Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Weekend Financial Data Engineer jobs in California look for? The top searched job categories for Weekend Financial Data Engineer jobs in California are:
What cities in California are hiring for Weekend Financial Data Engineer jobs? Cities in California with the most Weekend Financial Data Engineer job openings:
Infographic showing various Weekend Financial Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Methodic

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Methodic is seeking a Data Engineer to design and manage data pipelines and storage solutions for their platform. This role involves ensuring efficient and accurate data storage, enabling analytics for platform usage, and contributing to data-driven decisions.
Responsibilities:
• Design and maintain database schemas and data models for various modules (accounts, transactions, ledgers, user activity, etc.), ensuring data integrity and high performance at scale.
• Build and optimize data pipelines for processing and transferring data (e.g., moving transaction data into reporting databases or exporting data for clients' needs) in a reliable and timely manner.
• Develop data warehousing solutions or utilize analytics databases to aggregate large datasets and support reporting, BI dashboards, and ad-hoc analysis.
• Implement ETL/ELT processes to integrate data from external sources (like market data feeds or bank systems) and to feed data into external systems as needed.
• Collaborate with backend engineers to ensure that the application’s data storage and retrieval logic is efficient (especially critical given our high throughput requirements).
• Implement data management best practices including backups, data retention policies, archiving of old data, and ensuring data security/privacy in all pipelines.
• Troubleshoot and resolve any data-related issues such as data quality problems, pipeline failures, or database performance bottlenecks.
Qualifications:
Required:
• 4+ years of experience in a data engineering role.
• Strong proficiency in SQL and experience with one or more relational database systems (e.g., PostgreSQL, Microsoft SQL Server, MySQL), including complex query writing and performance tuning.
• Familiarity with big data or NoSQL technologies (such as Kafka, Hadoop/Spark, Cassandra, etc.) and the ability to apply them when appropriate for scaling or streaming data.
• Experience building and maintaining ETL pipelines – knowledge of tools like Airflow, AWS Glue, or custom scripting for data workflows.
• Understanding of data modeling and warehousing concepts (star schemas, OLAP vs OLTP, etc.).
• Detail-oriented with a focus on data accuracy and reliability; understanding of the importance of data in a financial context and commitment to maintaining its quality.
• Good communication skills to work with cross-functional teams (from engineering to product to business) on data needs and interpretations.
Preferred:
• Experience with data visualization or BI tools (or supporting their data needs) is a plus.
Company:
Methodic is a software company that develops investment systems. Founded in 2018, the company is headquartered in Surry Hills, AUS, with a team of 11-50 employees. The company is currently Early Stage.