Data Modeler
Reston, VA · On-site
$57 - $73.75/hr
... FinTech background preferred
AI/ML engineering
Reston, VA · On-site
$119K - $143K/yr
Preferred Qualifications: • Experience in the finance or fintech industry. • Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). • Exposure to ...
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AI/ML engineering
Reston, VA · On-site
$119K - $143K/yr
Preferred Qualifications: • Experience in the finance or fintech industry. • Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). • Exposure to ...
... growth fintech company. Today, our ad creative is managed by an external agency. You will take ... You know what's resonating on Meta, YouTube, and LinkedIn right now - and you know how to apply ...
... growth fintech company. Today, our ad creative is managed by an external agency. You will take ... You know what's resonating on Meta, YouTube, and LinkedIn right now - and you know how to apply ...
Meta Fintech information
See Virginia salary details
$20.4K - $35.5K
11% of jobs
$47.5K is the 25th percentile. Wages below this are outliers.
$35.5K - $50.6K
18% of jobs
$50.6K - $65.6K
10% of jobs
$65.6K - $80.7K
11% of jobs
The median wage is $82.6K / yr.
$80.7K - $95.8K
9% of jobs
$95.8K - $110.9K
11% of jobs
$121.8K is the 75th percentile. Wages above this are outliers.
$110.9K - $125.9K
10% of jobs
$125.9K - $141K
6% of jobs
$141K - $156.1K
7% of jobs
$156.1K - $171.2K
5% of jobs
$171.2K - $186.2K
3% of jobs
$20.4K
$94.4K
$186.2K
How much do meta fintech jobs pay per year?
As of Jul 1, 2026, the average yearly pay for meta fintech in Virginia is $94,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,140.00 and $129,832.00 per year, depending on experience, location, and employer.
Is it hard to get hired at Meta?
Getting hired at Meta Fintech can be competitive due to high standards for technical skills, relevant experience, and cultural fit. The hiring process often involves multiple interviews, technical assessments, and background checks, making it important for candidates to prepare thoroughly.
What jobs pay 500,000 a year in the US?
In the finance and technology sectors, roles such as senior fintech executives, hedge fund managers, investment bankers, and certain software engineering or data science positions can earn $500,000 or more annually. These roles typically require extensive experience, advanced skills, and often involve performance-based bonuses or profit sharing. High-level positions in fintech companies may also include executive roles like CTO or COO with compensation reaching or exceeding this level.
What are some common challenges faced by professionals working in Meta Fintech roles, and how can they be overcome?
Professionals in Meta Fintech roles frequently encounter challenges such as rapidly evolving technologies, stringent regulatory requirements, and ensuring robust cybersecurity. Keeping up with the pace of innovation demands continuous learning and adaptability, while compliance with industry regulations requires close attention to detail and collaboration with legal teams. Building resilient and secure platforms is critical, so working alongside cybersecurity experts and regularly updating security protocols is standard practice. Successful professionals proactively participate in ongoing training, industry networking, and cross-functional teamwork to stay ahead of these challenges and drive meaningful improvements in their organizations.
What is the highest paying job in fintech?
In fintech, executive roles such as Chief Technology Officer (CTO) or Chief Executive Officer (CEO) tend to be the highest paid, often earning six- or seven-figure salaries including bonuses and stock options. Senior roles requiring extensive experience, leadership skills, and advanced technical knowledge typically command the highest compensation in the industry.
What are the key skills and qualifications needed to thrive in the Meta Fintech position, and why are they important?
To excel in a Meta Fintech role, you typically need expertise in financial technologies, data analysis, blockchain systems, and a thorough understanding of financial regulations, usually supported by a degree in finance, computer science, or a related field. Proficiency with tools such as SQL, Python, financial modeling software, and experience with digital payment platforms or blockchain frameworks is often required, and industry certifications like CFA or FinTech-specific credentials are advantageous. Strong problem-solving abilities, collaboration skills, and effective communication are crucial soft skills that drive innovation and teamwork in this space. These combined skills enable professionals to create, implement, and maintain secure fintech solutions that meet both user needs and regulatory standards.
What is a Meta Fintech job?
A Meta Fintech job involves working at Meta on financial technology initiatives, including payment systems, digital wallets, fraud prevention, and blockchain solutions. Employees in this role develop and manage financial products that enhance user experiences across Meta platforms like Facebook, Instagram, and WhatsApp. Responsibilities can include regulatory compliance, risk assessment, data security, and partnerships with financial institutions. This job requires expertise in fintech, software development, data analysis, and financial regulations.
Which 3 jobs will survive AI?
Meta Fintech professionals such as financial analysts, compliance officers, and cybersecurity specialists are likely to continue thriving as AI automates routine tasks but requires human oversight, strategic decision-making, and complex problem-solving. These roles demand critical thinking, domain expertise, and adaptability to evolving technology tools. Skills in data analysis, regulatory knowledge, and cybersecurity will remain valuable in the fintech industry despite AI advancements.
What are popular job titles related to Meta Fintech jobs in Virginia? For Meta Fintech jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Meta Fintech jobs in Virginia look for? The top searched job categories for Meta Fintech jobs in Virginia are:
$57 - $73.75/hr
Contractor
Posted 7 days ago
Job description
Data Modeler
Reston, VA (3 days onsite per week)
Duration: 2 years
* Role overview: The data modeler will support multiple scrum teams by modeling fields for new events, working closely with product owners and the enterprise data governance team to ensure proper naming and enumeration standards.
* Technical skills required: Candidates should be well-versed in both relational and dimensional modeling, with experience in AWS environments, specifically RDS and Redshift, and handling data migration projects involving interfaces and event loading.
* Data formats and tools: The team primarily works with JSON data received from upstream systems, and ER Studio is the essential tool for data modeling across the enterprise. Proficiency in Microsoft Office (Excel, Word, PowerPoint) is expected for documentation and presentations.
Reston, VA (3 days onsite per week)
Duration: 2 years
* Role overview: The data modeler will support multiple scrum teams by modeling fields for new events, working closely with product owners and the enterprise data governance team to ensure proper naming and enumeration standards.
* Technical skills required: Candidates should be well-versed in both relational and dimensional modeling, with experience in AWS environments, specifically RDS and Redshift, and handling data migration projects involving interfaces and event loading.
* Data formats and tools: The team primarily works with JSON data received from upstream systems, and ER Studio is the essential tool for data modeling across the enterprise. Proficiency in Microsoft Office (Excel, Word, PowerPoint) is expected for documentation and presentations.
The top 4 skills that vendors need to focus on for the data modeler position are:
1. Data Modeling Expertise: The candidate should be well-versed in both relational and dimensional modeling. This includes the ability to work with the enterprise data governance team to ensure proper naming and enumeration standards
2. Experience with AWS Environments: The candidate should have experience working in AWS environments, specifically with RDS and Redshift. This includes handling data migration projects involving interfaces and event loading
3. Proficiency with ER Studio: The candidate must be proficient in using ER Studio, as it is the essential tool for data modeling across the enterprise
4: Mortgage / FinTech background preferred
1. Data Modeling Expertise: The candidate should be well-versed in both relational and dimensional modeling. This includes the ability to work with the enterprise data governance team to ensure proper naming and enumeration standards
2. Experience with AWS Environments: The candidate should have experience working in AWS environments, specifically with RDS and Redshift. This includes handling data migration projects involving interfaces and event loading
3. Proficiency with ER Studio: The candidate must be proficient in using ER Studio, as it is the essential tool for data modeling across the enterprise
4: Mortgage / FinTech background preferred