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Accounting Python Jobs Near Me

SUNRAY INFORMATICS

Sr. Databricks Developer

Columbus, OH · On-site

$51 - $67.25/hr

SQL, Python, AWS & PYSPARK Need Candidates with a Minimum of 9 Years of Experience. This is a 100 ... Integrate data from trading platforms, market data feeds, risk systems, accounting platforms, and ...

Rogue Fitness

Data Analyst

Columbus, OH · On-site

Familiarity with Python, R, or JavaScript preferred * Interest in or exposure to cost accounting, shipping/logistics, or manufacturing operations is a plus By applying to Rogue, regardless of the ...

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As of Jul 14, 2026, the average hourly pay for accounting python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.
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A map of the United States highlighting the number of Accounting Python job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Accounting Python job openings in each state, with California having the most at 2 and Hawaii the least at 0.
Sr. Databricks Developer

Sr. Databricks Developer

SUNRAY INFORMATICS

Columbus, OH • On-site

$51 - $67.25/hr

Other

Posted 28 days ago

Job description

Role : Sr. Databricks Developer

Location: Columbus, OH

Duration: 12 Months

MOI : Telephonic & WebCam

Primary Skills: SQL, Python, AWS & PYSPARK

Need Candidates with a Minimum of 9 Years of Experience. This is a 100% Onsite role, and we need candidates on our W2 or who have their Own Corporation.

Job Description:

We are seeking an experienced Databricks Developer to design, develop, and optimize large-scale data processing solutions for a financial services project. The ideal candidate will have strong expertise in Databricks, Apache Spark, cloud-based data platforms, and financial data processing. This role involves building scalable data pipelines, supporting analytics initiatives, ensuring data quality, and enabling regulatory and business reporting across financial systems.

Key Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT data pipelines using Databricks and Apache Spark.
  • Develop and optimize data ingestion frameworks for structured, semi-structured, and streaming data.
  • Build and maintain data lakes and lakehouse architectures using Databricks.
  • Implement Delta Lake solutions for data reliability, governance, and performance optimization.
  • Collaborate with business analysts, data architects, and finance stakeholders to understand data requirements.
  • Integrate data from trading platforms, market data feeds, risk systems, accounting platforms, and regulatory reporting systems.
  • Develop reusable notebooks, workflows, and automation processes.
  • Monitor, troubleshoot, and optimize Spark jobs for performance and scalability.
  • Implement data quality, lineage, security, and governance controls.
  • Support regulatory reporting, risk management, compliance, and financial analytics initiatives.
  • Participate in code reviews, testing, deployment, and production support activities.

Required Technical Skills:

  • Strong experience with Databricks and Apache Spark (PySpark/Scala Spark).
  • Proficiency in Python, SQL, and Spark optimisation techniques.
  • Experience with Delta Lake, Databricks Workflows, Unity Catalogue, and Delta Live Tables.
  • Strong understanding of data warehousing concepts and dimensional modelling.
  • Experience with cloud platforms such as Amazon Web Services (AWS)

Apply