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Weekday Financial Data Engineer Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Staff Data Engineer

San Diego, CA · On-site

$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

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

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI ... engineering expertise, and proprietary software solutions-all designed to drive growth and ...

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

(Data Engineer)

Mclean, VA · On-site

$115K - $139K/yr

Knowledge of financial data domain and regulatory compliance. * Experience with Databricks platform. * Prior on-site work experience in McLean. Thanks & Regards Himanshu Sharma Recruitment Lead Email

Unlike a pure engineering role, this position requires a high degree of business knowledge. The ideal candidate understands the complexities of financial reference data and can bridge the gap between ...

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Showing results 1-20

Weekday Financial Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jul 21, 2026, the average yearly pay for weekday financial data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

AspectWeekday Financial Data EngineerFinancial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentData engineering teams, technical departments, often in tech-driven financial firmsFinance departments, investment firms, or banks, focusing on data interpretation
Employer & Industry UsageFinancial institutions, fintech companies, hedge fundsBanking, asset management, investment firms

Weekday Financial Data Engineers focus on building and maintaining data pipelines and infrastructure, while Financial Data Analysts interpret data to support decision-making. Both roles require strong analytical skills, but the engineer role emphasizes technical data management, whereas the analyst role centers on data analysis and reporting.

What cities are hiring for Weekday Financial Data Engineer jobs? Cities with the most Weekday 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 Weekday Financial Data Engineer jobs? States with the most job openings for Weekday Financial Data Engineer jobs include:
Sr. Snowflake Data Engineer - Finance

Sr. Snowflake Data Engineer - Finance

AMD

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 16 days ago


Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

26th of 143 rated electronics manufacturers


Job description

Job Summary:
AMD is a company focused on building innovative products that enhance computing experiences across various domains. They are seeking a Lead Snowflake Data Engineer to design and evolve Finance's data ecosystem in Snowflake, partnering with Finance and IT teams to create high-quality data products that support 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 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.
Qualifications:
Required:
• Strong fundamentals in data architecture, modeling, and modern cloud data platforms.
• Deep expertise in the Snowflake ecosystem, including Snowflake Intelligence & Cortex.
• Solid understanding of Finance data and processes.
• Experience designing scalable data and AI solutions.
• Strong communication, collaboration, and stakeholder management skills.
• Experience navigating and integrating across enterprise data environments, including SAP S4 / HANA and Microsoft SQL Server.
• Ability to connect legacy and modern platforms into a cohesive data ecosystem.
• Experience mentoring and enabling a growing community of Citizen Data Engineers.
• Passion for enabling self-service analytics and helping non-technical users become confident, data-driven decision-makers.
Preferred:
• 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.
Company:
Advanced Micro Devices is a semiconductor company that designs and develops graphics units, processors, and media solutions. Founded in 1969, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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