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Financial Data Engineer Remote Jobs in Temecula, CA

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Senior Data Engineer Position: Full time Location ... Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ...

Together For Talent

100% REMOTE Tax Manager

Carlsbad, CA · Remote

$130K - $150K/yr

Tax Manager (100% Fully Remote) California-based CPA Firm | $130K-$150K+ base As a highly regarded ... Review and analyze financial data to prepare accurate tax workpapers and filings for individuals ...

Meraki Group Endeavors

Financial Consultant

Murrieta, CA · Remote

$75K - $100K/yr

Heart to Heart is a rapidly growing financial services company offering remote work-from-home ... Proficiency in data analytics * Consulting experience in financial services These skill sets ...

New

DataAnnotation

Financial Planner - AI Trainer

Vista, CA · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Airspace

FP&A Analyst

Carlsbad, CA · On-site +1

$70K - $80K/yr

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... Location: Carlsbad, CA (Hybrid) or Remote Compensation Salary range: $70,000 - $80,000 * High ...

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Financial Data Engineer Remote information

See Temecula, CA salary details

$44.2K

$128.9K

$176.3K

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

As of Aug 29, 2026, the average yearly pay for financial data engineer remote in Temecula, CA is $128,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,600.00 per year, depending on experience, location, and employer.

What does a financial data engineer do in a remote role?

A Financial Data Engineer designs, builds, and maintains systems that process and analyze large sets of financial data. Working remotely, they collaborate with teams to develop data pipelines, integrate financial databases, and ensure the reliability of data used for financial analysis and reporting. They often use programming languages like Python or SQL, and work with big data tools to support data-driven decision-making for financial institutions or fintech companies. Their work is crucial to transforming raw financial data into actionable insights.

What are the key skills and qualifications needed to thrive as a financial data engineer in a remote role?

To thrive as a Financial Data Engineer (Remote), you need strong programming skills (such as Python or SQL), experience with data modeling, and a background in finance or quantitative analysis, often supported by a relevant degree. Proficiency with big data platforms (like Hadoop or Spark), ETL tools, and cloud data services (such as AWS or Azure) is typically required, alongside certifications in data engineering or finance. Excellent problem-solving, communication, and time management skills help you collaborate effectively and independently in a distributed environment. These capabilities are crucial for building reliable financial data pipelines, ensuring data quality, and supporting timely, data-driven business decisions.

What are the typical challenges faced by remote financial data engineers when collaborating with cross-functional teams?

Remote Financial Data Engineers often work closely with data analysts, software developers, and business stakeholders across different time zones. One common challenge is ensuring effective communication and alignment on project requirements, especially when dealing with complex financial data pipelines and evolving business needs. Utilizing collaborative tools, maintaining clear documentation, and participating in regular virtual meetings can help bridge gaps and foster productive teamwork. Staying proactive about updates and being responsive to feedback are key to ensuring smooth collaboration in a remote environment.

What job categories do people searching Financial Data Engineer Remote jobs in Temecula, CA look for?

The top searched job categories for Financial Data Engineer Remote jobs in Temecula, CA are:

What cities near Temecula, CA are hiring for Financial Data Engineer Remote jobs?

Cities near Temecula, CA with the most Financial Data Engineer Remote job openings:

Financial Data Engineer Remote jobs near you

Senior Data Engineer

Carlsbad, CA • On-site, Remote

NTENT
See more jobs at NTENTexternal

$109K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Senior Data Engineer
Position: Full time
Location: Carlsbad office (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate Voice Assistant and Search technologies directly into their business-to-consumer offerings. NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information across the web. Through the company’s proprietary search engine, ontology and knowledge graph, NTENT makes it easier to decipher meaning, surfacing the most relevant answers, results, content and ads, via conversational interfaces or text.
We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.

About the Opportunity:
We are a dynamic company looking for our next great hire to join our team in Carlsbad, California.
We are looking for a Senior Data Engineer to join our team to manage and oversea data logging, pipelines, processing and presentation of data related to NTENT's platforms. The right candidate will take a lead role on the design of NTENT's next generation platform utilizing technologies outside of the Hadoop ecosystem.
Duties and Responsibilities:
  • Design, implement, and support ETL data pipelines in a big data environment
  • Maintain and improve existing data logging, pipeline and analytics platform
  • Architect and design next generation data platform with appropriate new technologies
  • Work with executives, product managers, machine learning scientists, and engineers to understand reporting and visualization needs
  • Design, implement, and support a SQL based data warehouse
  • Ensure reliability and accuracy of data logging and processing for all NTENT products
Skills and Qualifications:
  • Graduate degree in Computer Science or a similar field, or equivalent work experience
  • 3+ years working in Data Engineering or Data Warehousing
  • Experience with T-SQL, specifically Microsoft SQL Server
  • Experience with Database design and schema definition
  • Experience with Hadoop ecosystem (Hive, Pig, Oozie)
  • Experience with Python
  • Experience with Data Visualization and Reporting platforms
The following experience is a plus:
  • Tableau
  • Kafka
  • Spark
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life insurance.

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