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Freelance Financial Data Engineer Jobs (NOW HIRING)

Apple

Finance Data Engineer

Austin, TX

$149K - $249K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

AMD

Sr. Snowflake Data Engineer - Finance

Austin, TX · On-site

$113K - $136K/yr

... financial reporting and decision-making. Responsibilities : • Serve as the Snowflake technical lead for Finance, defining architecture, standards, and best practices for data engineering and data ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$115K - $139K/yr

XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Apple

Finance Data Engineer

Austin, TX

$149K - $249K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Apple

Finance Data Engineer

Austin, TX

$149K - $249K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Apple

Finance Data Engineer

Austin, TX

$149K - $249K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Oura

Senior Data Engineer - Finance

San Francisco, CA

$124K - $169K/yr

Your primary focus will be building and owning the data infrastructure that powers Oura's financial ... While Finance data engineering is your core domain, we expect and actively support our engineers ...

New

Purpose Financial

Data Engineer

Greenville, SC · On-site

$107K - $129K/yr

Purpose Financial Address : 322 Rhett Street, Greenville, South Carolina, United States - 29601 ... Position Summary The Data Engineer will play a critical role in designing, building, and ...

Exactera

Staff Data Engineer

San Diego, CA

$121K - $146K/yr

The Role As Staff Data Engineer, you will provide senior onshore technical leadership for the data ... Experience with financial data, accounting systems (NetSuite), or enterprise ERP platforms

Urology Centers of Alabama

Data Engineer

Homewood, AL

$107K - $128K/yr

The Data Engineer partners closely with clinical, revenue cycle, finance, and IT teams to ensure data accuracy, availability, and security in a regulated healthcare environment. Essential Functions

TriOptus LLC

Data Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

... financial data sets. • Collaborate with product management and the economic research team to ... Data Engineer Background Check : No Drug Screen : No

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Freelance Financial Data Engineer information

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$132

How much do freelance financial data engineer jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for freelance financial data engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

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

AspectFreelance Financial Data EngineerFreelance Data Analyst
CredentialsFinancial certifications (e.g., CFA, FRM), data engineering skillsData analysis certifications (e.g., CAP, Microsoft Data Analyst)
Work EnvironmentFinancial firms, investment companies, fintech startupsBusiness, marketing, research firms, or corporate departments
Employer & Industry UsageFinancial industry, asset management, bankingVarious industries including retail, healthcare, and finance
Search & Comparison IntentUnderstanding technical financial data engineering rolesAnalyzing financial data for insights and reporting

The main difference is that Freelance Financial Data Engineers focus on building and maintaining financial data infrastructure, while Freelance Data Analysts interpret and analyze data to support decision-making. Both roles require data skills, but the Financial Data Engineer emphasizes data pipeline development within financial contexts.

More about Freelance Financial Data Engineer jobs
What cities are hiring for Freelance Financial Data Engineer jobs? Cities with the most Freelance Financial Data Engineer job openings:
What are the most commonly searched types of Financial Data Engineer jobs? The most popular types of Financial Data Engineer jobs are:
What states have the most Freelance Financial Data Engineer jobs? States with the most job openings for Freelance Financial Data Engineer jobs include:
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Freelance Financial Data Engineer jobs near you
Infographic showing various Freelance Financial Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.
Sr. Snowflake Data Engineer - Finance

Sr. Snowflake Data Engineer - Finance

Advanced Micro Devices, Inc

Austin, TX • On-site

$111K/yr

Full-time

Posted 19 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

19th of 144 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
Join AMD's CFO organization as a Lead Snowflake Data Engineer, where you will play a pivotal role in shaping the future of Finance data and analytics. This is a highly visible position responsible for leading the design and evolution of Finance's data ecosystem in Snowflake.
In the role, you will partner closely with Finance and IT teams to build scalable, high-quality data products that power financial reporting, forecasting, and decision-making. You will act as the bridge between business and technology, ensuring Finance's data needs are translated into robust, enterprise-grade solutions.
Beyond hands-on engineering and modelling, you will help mature our data product portfolio, establish best practices, and foster a culture of data ownership and self-service. You'll mentor and enable a growing community of Citizen Data Engineers, empowering Finance professionals to leverage data more effectively. This role offers the opportunity to influence strategy, drive innovation, and build lasting impact across AMD's Finance organization.
THE PERSON:
A successful candidate is an experienced and motivated data engineer with strong fundamentals in data architecture, modeling, and modern cloud data platforms. You bring deep expertise in the Snowflake ecosystem, including Snowflake Intelligence & Cortex, combined with a solid understanding of Finance data and processes.
You are equally comfortable designing scalable data and ai solutions and engaging with business stakeholders to understand their needs and translate them into actionable data products. You have strong communication, collaboration, and stakeholder management skills, enabling you to work effectively across Finance and IT while influencing without authority.
You thrive in environments where you can mentor others, build communities, and elevate data maturity. You are passionate about enabling self-service analytics and helping non-technical users become confident, data-driven decision-makers.
Additionally, you bring experience navigating and integrating across enterprise data environments, including SAP S4 / HANA and Microsoft SQL Server, and understand how to connect legacy and modern platforms into a cohesive data ecosystem.
KEY RESPONSIBILITIES:
  • Serve as the Snowflake technical lead for Finance, defining architecture, standards, and best practices for data engineering and data products
  • Design, build, and optimize scalable data models within Snowflake that serve as a foundation for AI wrappers.
  • Partner with IT and data platform teams to align Finance data solutions with enterprise architecture and capabilities
  • Collaborate with Finance stakeholders (FP&A, Accounting, Treasury, etc.) to translate business requirements into high-quality data products
  • Drive the maturity of Finance's data product portfolio, including data quality, documentation, lineage, testing, and SLAs
  • Establish and grow a Finance data community of practice, mentoring and training Citizen Data Engineers
  • Enable and promote self-service analytics, reducing reliance on manual processes and ad hoc Excel-based workflows
  • Act as a bridge between business and technical teams, ensuring clear communication and alignment across stakeholders.

Success milestones:
  • First 3 months: Build relationships across Finance and IT, assess current data landscape, identify quick wins and improvement opportunities
  • 6 months: Deliver initial enhancements in Snowflake, establish standards and best practices, begin enabling citizen engineers
  • 12 months: Mature Finance data products, scale self-service capabilities, and establish a sustainable data community and governance model

PREFERRED EXPERIENCE:
  • Strong hands-on experience with Snowflake (data modeling, performance optimization, security, data sharing, Snowflake Intelligence / Cortex)
  • Deep expertise in SQL and database design principles
  • Proven experience working with Finance data domains (GL, FP&A, financial reporting, planning)
  • Experience integrating and working with SAP S4 / HANA and Microsoft SQL Server environments
  • Familiarity with BI and analytics tools such as Power BI
  • Experience enabling self-service analytics and mentoring business users or citizen developers
  • Strong understanding of data governance, data quality, and data product lifecycle management
  • Excellent communication, stakeholder management, and collaboration skills

ACADEMIC CREDENTIALS:
  • Preference for Bachelor's Degree in Computer or Information Sciences, Statistics, Data Management or related disciplines. Relevant experience will also be considered.

LOCATION:
  • Austin, Texas

This role is not eligible for visa sponsorship.
#LI-GW1
#LI-Hybrid
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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