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Sr. Data Engineer -Finance Systems & Analytics

Job in Mountain View, Santa Clara County, California, 94043, USA
Listing for: Akraya, Inc.
Contract position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80 - 95 USD Hourly USD 80.00 95.00 HOUR
Job Description & How to Apply Below
Position: Sr. Data Engineer -Finance Systems & Analytics:26-01610
Primary

Skills:

SQL (advanced), Python (advanced), Cloud Data Warehousing (advanced), ETL(advanced), ERP Data Structures (advanced)
Contract Type: W2
Duration: 12 Months with possible extension

Location:

Sunnyvale, CA (Remote)
Pay Range: $80.00-$95.00/hr
#LP

Job Summary:
This role focuses on building a foundational cloud-based data ecosystem specifically for the finance organization. You will be responsible for integrating fragmented financial data from various systems into a unified, real-time platform. Your contributions will directly enable advanced financial analytics and automation initiatives.

Key Responsibilities:
  • Design, build, and maintain scalable, robust data pipelines (ETL/ELT) that ingest complex financial data into our cloud data platform.
  • Architect data models tailored for financial reporting, ensuring they support critical processes like Order-to-Cash (O2C), Record-to-Report (R2R), and Source-to-Pay (S2P).
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of financial data sources (specifically SAP S/4

    HANA, legacy ERPs, and third-party financial APIs).
  • Implement strict data governance, data lineage, and security controls required for sensitive financial and compliance data (SOX, GDPR, etc.).
  • Eliminate data fragmentation by unifying disjointed billing, procurement, and accounting systems into a single, high-performance data lake.
  • Optimize data structures to support real-time financial reporting, reducing close cycles from weeks to days.
Must-Have Skills:
  • 7+ years of experience as a Data Engineer, with at least 2–3 years focused heavily on financial data systems.
  • Deep expertise in modern cloud data warehouses and hyperscalers (e.g., Google Big Query, Snowflake, AWS Redshift, or Databricks).
  • Advanced proficiency in SQL and Python (or Scala/Java) for data manipulation and pipeline orchestration (e.g., Airflow, dbt).
  • Direct experience working with the data structures and tables of major enterprise ERPs, with a strong preference for SAP S/4

    HANA
    .
Industry Experience:
Demonstrated experience working with enterprise ERP systems, particularly SAP S/4

HANA, is highly preferred for this role.

ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Work spaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!

Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!

Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
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