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Python Sql Jobs in Manhattan, NY (NOW HIRING)

ConsultAdd, Inc.

Python Developer

New York, NY

$55 - $75.75/hr

Must have experience with basic java, SQL, and data structures. * Strong knowledge of relational database, SQL. * Strong object-oriented analysis and design skills. * Familiarity with Python, Ruby On ...

Kanak Elite Services Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

NYC, NY & Alpharetta, GA (Locals preferred & can submit from nearby location) Mid-Level (5-12 years) Mandatory Skills: * - Data pipeline development * - SQL * - Python * - Spark, Hive, Airflow ...

The Atlantic Group

Analytics Engineer

Manhattan, NY

You must have experience building AI infrastructure (end-to-end) such as setting up a RAG, vector database, and an agent framework/orchestrator (while being strong with Python/SQL). With this in mind ...

Staffingine LLC

Python developers

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Senior Python Developer Job Location: Jersey City, NJ Job Type: Full-Time * Experienced Python ... Should also have a strong SQL background and have data engineering experience

TecTammina

Python Developer (Full Time)

Jersey City, NJ

$52.50 - $72.25/hr

Company Description First IT Solutions Relevant Experience (Yrs) : 4 to 6+ Years of IT; 3+ Years of hands-on Python Experience, proficient in SQL queries. Technical/Functional Skills : The job ...

NAVA Software Solutions

Sr. Financial Analyst

Manhattan, NY · On-site

$94K - $117K/yr

New York City, NY (Hybrid) Duration: 12 months Ideally looking for applicants to have solid Python, SQL and Revenue. Required Skills * 5+ years of work experience in media/entertainment or sales ...

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How much do python sql jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for python sql in Manhattan, NY is $64.70, according to ZipRecruiter salary data. Most workers in this role earn between $53.32 and $73.51 per hour, depending on experience, location, and employer.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.

Does SQL work well with Python?

Python is widely used for working with SQL databases, with libraries like sqlite3, SQLAlchemy, and pandas enabling seamless integration. These tools allow Python scripts to execute queries, manage data, and automate database operations efficiently, making SQL and Python a common combination for data analysis and backend development.

What jobs can I do with Python and SQL?

Jobs that require Python and SQL include data analyst, data scientist, database administrator, backend developer, and business intelligence analyst. These roles involve data manipulation, database management, automation, and developing data-driven applications, often requiring knowledge of related tools like pandas, SQL queries, and data visualization software.

What is a Python SQL job?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are the key skills and qualifications needed to thrive in the Python Sql position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential, but employers often seek additional skills such as data analysis, problem-solving, and familiarity with frameworks or tools like pandas or Django. Certifications and practical experience can also improve job prospects, as many positions require a combination of technical knowledge and real-world application.

What is the salary of SQL and Python?

Salaries for roles involving SQL and Python vary based on experience, location, and industry, but typically range from $70,000 to $120,000 annually for mid-level positions. Entry-level roles may start around $60,000, while experienced developers or data scientists can earn over $130,000. Skills in data analysis, database management, and programming are highly valued in these roles.
What job categories do people searching Python Sql jobs in Manhattan, NY look for? The top searched job categories for Python Sql jobs in Manhattan, NY are:
What cities near Manhattan, NY are hiring for Python Sql jobs? Cities near Manhattan, NY with the most Python Sql job openings:
Python Sql jobs near you

Credit Risk Data Engineer - New York, NY - RDE26-06669

NavitasPartners

White Plains, NY • On-site

$80 - $100/hr

Other

Posted 7 days ago

Job description

Job Title: Senior Data Integration Engineer
Location: New York, NY

Position Overview

We are seeking a Senior Data Integration Engineer to design, develop, and support scalable data integration solutions for Counterparty Credit Risk (CCR) platforms. The ideal candidate will have strong experience with Python, SQL, Databricks, and PySpark, and a proven background in risk data, ETL development, and financial services.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines for counterparty, trade, collateral, and market data integration.
  • Build and support ETL/ELT solutions using Python, PySpark, Databricks, and SQL.
  • Integrate risk and trading data into Counterparty Credit Risk (CCR) calculation and reporting platforms.
  • Partner with Risk, Business Analysts, and Technology teams to gather requirements and deliver data solutions.
  • Ensure data quality, reconciliation, monitoring, and governance across risk data platforms.
  • Support exposure analytics, including EPE, PFE, EAD, stress testing, and regulatory reporting.
  • Investigate and resolve data and production issues through root cause analysis and permanent fixes.
  • Implement automation, monitoring, and operational improvements to enhance platform reliability.
  • Lead platform enhancements, migrations, and strategic data initiatives.
  • Maintain technical documentation and support audit and regulatory data requests.

Required Qualifications

  • 10+ years of experience in Python development and advanced SQL programming.
  • 5+ years of experience in Data Engineering, Data Integration, or Enterprise Data Management within Financial Services.
  • 3+ years supporting Risk, Exposure Management, or Counterparty Credit Risk platforms in a senior technical leadership capacity.
  • 3+ years of hands-on experience with Databricks and PySpark for large-scale data processing and ETL development.
  • Experience working within globally distributed support and delivery models.

Technical Skills

  • Strong experience with Python, SQL, PySpark, Databricks, and Snowflake.
  • Experience building ETL/ELT pipelines and large-scale data integration solutions.
  • Knowledge of Counterparty Credit Risk (CCR), including EPE, PFE, EAD, collateral, and exposure management.
  • Experience with Azure Cloud, Data Lakes, ADF, and distributed data processing frameworks.
  • Familiarity with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
  • Experience working in Agile environments using JIRA and Confluence.

For more details, contact careers@compuvis.com

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