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Senior Financial Data Engineer Jobs in California

Sr. Data Engineer

Highland, CA ยท On-site

$113K - $136K/yr

The Senior Data Engineer leads complex data engineering projects, establishes data standards and ... Knowledge of finance, gaming, entertainment, hospitality, food and beverage operations is preferred.

Financial Analyst IV

Poway, CA ยท On-site

$89K - $155K/yr

... oriented Senior Financial Analyst to support our Engineering organization. This position will be ... data - some of which contains confidential and sensitive information requiring tact and discretion.

... world's top financial institutions and Fortune Global 500 companies. With a strong presence ... The Senior Data Engineer is responsible for designing, building and maintaining modern data ...

Senior Accounting Financial Analyst

San Jose, CA ยท On-site

$100K - $124K/yr

Title: Senior Accounting Financial Analyst | Senior Financial Analyst | Accounting & Financial ... Strong Analytical Skills, Problem Solving, Attention to Detail, Data Accuracy * Cross-functional ...

Senior Financial Analyst 7+ Month W2 Contract San Jose, CA Here's how you'll make an impact on the ... Fundamental data skills (e.g. beginner data engineering/science background) desirable, but not ...

Senior Financial Analyst

Corte Madera, CA ยท On-site +1

$100K - $120K/yr

The Senior Financial Analyst is a critical member of the FP&A team, a key partner to RH executives ... Able to effectively communicate financial data to Leadership, Executives and peers * Knowledge of ...

Senior Financial Analyst

Corte Madera, CA

$106K - $132K/yr

The Senior Financial Analyst is a critical member of the FP&A team, a key partner to RH executives ... Able to effectively communicate financial data to Leadership, Executives and peers * Knowledge of ...

Sr. Data Engineer

Palo Alto, CA ยท On-site

$145K - $220K/yr

Allocate is looking for a Senior Data Engineer to help build out the data infrastructure that ... In this role you will partner closely with our data lead to model core financial entities ...

Sr. Data Engineer

Palo Alto, CA ยท Remote

$134K - $161K/yr

Allocate is looking for a Senior Data Engineer to help build out the data infrastructure that ... In this role you will partner closely with our data lead to model core financial entities ...

Sr. Data Engineer

El Segundo, CA ยท On-site

$140K - $150K/yr

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and ... Working closely with teams across Product, Marketing, Finance, and Data Science, you'll translate ...

Sr. Data Engineer

El Segundo, CA ยท On-site +1

$140K - $150K/yr

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and ... Working closely with teams across Product, Marketing, Finance, and Data Science, you'll translate ...

Data Engineer 3

San Jose, CA ยท Hybrid

$65.49/hr

The Financial Data Engineer performs a wide range of job duties utilizing technical know-how and develop an analytics product that will generate insights into financial metrics and customer journey.

Senior Data Engineer ID75059

Los Angeles, CA ยท On-site

$114K - $155K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines ...

Showing results 21-40

Senior Financial Data Engineer information

What is the difference between Senior Financial Data Engineer vs Financial Data Engineer?

AspectSenior Financial Data EngineerFinancial Data Engineer
Required CredentialsBachelor's/Master's in Computer Science, Finance, or related; experience in data engineeringBachelor's in relevant field; entry-level experience in data engineering
Work EnvironmentFinancial institutions, investment firms, banksFinancial firms, fintech companies, data consultancies
Employer & Industry UsageUsed in finance-heavy roles requiring advanced data skillsEntry to mid-level roles in finance and data sectors

The main difference is experience level and responsibility. Senior Financial Data Engineers handle complex data projects, mentor teams, and have more strategic input, while Financial Data Engineers focus on building and maintaining data pipelines at an entry or mid-level. Both roles require strong technical skills and finance industry knowledge, but the senior role involves leadership and advanced problem-solving.

What are the key skills and qualifications needed to thrive as a senior financial data engineer, and why are they important?

To thrive as a Senior Financial Data Engineer, you need advanced knowledge in data engineering, financial data modeling, and programming languages such as Python or Scala, usually supported by a degree in computer science, finance, or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (AWS, Azure, or GCP), and data warehousing solutions, along with certifications in relevant technologies, are typically required. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These competencies are crucial for efficiently transforming complex financial data into actionable insights and ensuring accuracy, security, and scalability in financial systems.

What does a senior financial data engineer do?

A Senior Financial Data Engineer designs, builds, and manages data infrastructure specifically for financial systems and organizations. They work with large volumes of financial data, ensuring its quality, security, and accessibility for analysis and reporting. This role often involves collaborating with data scientists, analysts, and business stakeholders to create pipelines and tools that support financial modeling, risk assessment, and business intelligence. Senior Financial Data Engineers also play a key role in implementing best practices for data governance and regulatory compliance.

How does a senior financial data engineer typically collaborate with cross-functional teams in a financial organization?

A Senior Financial Data Engineer often works closely with data analysts, financial modelers, software developers, and business stakeholders to design and implement robust data pipelines and solutions. Collaboration involves translating business requirements into technical specifications, ensuring data quality and compliance, and enabling seamless data integration across platforms. Regular meetings and agile ceremonies are common, fostering open communication and fast adaptation to changing business needs. This cross-functional teamwork is crucial for delivering accurate, timely financial insights and supporting strategic decision-making.
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Sr. Data Engineer

San Manuel Casino

Highland, CA โ€ข On-site

$113K - $136K/yr

Full-time

Posted 9 days ago


Job description

Under the direction of the Manager, Data Science, the Senior Data Engineer serves as a technical lead responsible for designing, architecting, and optimizing large-scale data platforms, pipelines, and analytics solutions that support the organization's analytics, reporting, and data science initiatives. Provides advanced expertise in data engineering, data integration, and data architecture, and collaborates with Information Technology (IT) departments, including Data Services, Geographic Information Systems (GIS), and Product teams, to ensure the scalability, reliability, security, and performance of the organization's data infrastructure. The Senior Data Engineer leads complex data engineering projects, establishes data standards and best practices, mentors technical staff, and assists management with the interpretation, evaluation, and strategic application of research data to support organizational decision-making.

This position is onsite 5 days per week in Highland, CA. There are no hybrid or remote accommodations available.

ESSENTIAL DUTIES AND RESPONSIBILITIES

1. Monitors, identifies, designs, and implements internal process improvements to automate manual processes, optimize data delivery, and enhance data pipeline performance.
2. Partners with Information Technology (IT) departments, including Data Services, Geographic Information Systems (GIS), and other technology teams, to ensure the organization's data science infrastructure operates efficiently and to identify opportunities for continuous improvement and operational efficiencies.
3. Designs, develops, and maintains large, complex datasets that meet enterprise business requirements and support departmental and organizational objectives.
4. Creates, optimizes, and maintains data tools and platforms that enable analytics and data science team members to efficiently develop, deploy, and monitor analytical products and solutions.
5. Monitors and assists with the interpretation, evaluation, and integration of research and operational data; develop enterprise analyses, forecasts, and data-driven insights to support strategic and operational decision-making.
6. Promotes and supports compliance, data quality, security, and continuous learning initiatives by providing technical guidance, knowledge sharing, and mentorship to team members and stakeholders throughout the organization.
7. Performs other duties as assigned to support the ecient operation of the department.

EDUCATION, EXPERIENCE AND QUALIFICATIONS

  • Bachelor's degree in Data Science, Data Analytics, Data Engineering, Computer Science, Software Engineering, Information Systems, Statistics, Mathematics, Business Analytics, Economics, Finance, or a related quantitative or technical field required. Master's degree preferred.

  • Minimum four (4) years of Data Engineering or related experience required.

  • Related, relevant, and/or direct experience may be considered in lieu of minimum educational requirements indicated above.

KNOWLEDGE, SKILLS AND ABILITIES (KSA)

  • Knowledge of data engineering, analytics, data governance, and enterprise data management principles.

  • Knowledge of finance, gaming, entertainment, hospitality, food and beverage operations is preferred.

  • Advanced proficiency in Microsoft 365 applications, including Excel, Word, and PowerPoint; experience with Microsoft Fabric preferred.

  • Advanced proficiency in Structured Query Language, relational databases, data integration and transformation processes, and application programming interface utilization.

  • Advanced proficiency in Python and data engineering methodologies.

  • Advanced knowledge with business intelligence, enterprise reporting, and analytics platforms.

  • Advanced knowledge with cloud and server-based technologies.

  • Working knowledge of Statistical Analysis System software.

  • Ability to serve as an effective liaison between Information Technology teams and cross-functional business stakeholders.

  • Demonstrated skill in communication, problem-solving, interpersonal, customer service, analytical, organizational, and time-management skills, with exceptional attention to detail.

  • Ability to utilize artificial intelligence and other emerging technologies to enhance productivity, efficiency, and continuous learning.

  • Ability to work effectively both independently and collaboratively in a team-oriented environment.

LICENSES, CERTIFICATIONS AND REGISTRATIONS

  • At the discretion of the San Manuel Tribal Gaming Commission, you may be required to obtain and maintain a gaming license.

  • No Driving Responsibilities: Role does not require a driver's license or insurance.

PHYSICAL REQUIREMENTS/ WORKING CONDITIONS - ENVIRONMENT

The physical demands and working environment described here are representative of those that an employee encounters and must be met by an employee to successfully perform the essential functions of this job.

  • Primary work environment is in a climate-controlled office setting.

  • Work requires travel to attend meetings, trade shows, and conferences.

  • Incumbents may be required to work evening, weekend and holiday shifts.

  • Must be able to work in a fast-paced, high-demand environment.

  • Strength sufficient to exert up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects and/or move up to 40 pounds occasionally.

  • Sedentary work: involves sitting most of the time. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.

  • Physical activities that apply to the essential functions of the position are balancing, stooping, kneeling, crouching, reaching, pushing, pulling, lifting, grasping, talking, hearing, and repetitive motions.

  • Hearing sufficient to hear conversational levels in person, via videoconference and over the telephone.

  • Speech sufficient to make oneself heard and understood in person, in front of groups, in meetings, via videoconference and over the telephone.

  • Visual acuity that meets the requirements of the position: The worker is required to have close visual acuity to perform an activity such as preparing and analyzing data and figures; transcribing; viewing a computer terminal; expansive reading and visual inspection of employees, visitors or facility.

  • Mobility sufficient to safely move in an office environment, walk, stoop, bend and kneel, and enter, exit and operate a motor vehicle in the course of travel to promotional events, meetings, conferences, trade shows and San Manuel properties.

  • Endurance sufficient to sit, walk and stand for extended periods, and maintain efficiency throughout the entire work shift and during extended work hours.

  • The employee may be exposed to fumes or airborne particles including secondhand smoke.

Reasonable accommodation will be made in compliance with all applicable law.

As one of the largest private employers in the Inland Empire, San Manuel deeply cares about the future, growth and well-being of its employees. Join our team today!