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Temporary Python Sql Jobs in New York (NOW HIRING)

Aquent

Sr. Data / M/L Engineer

Manhattan, NY · On-site

$76.50 - $85/hr

Temporary Salary: $76.50-85 Hourly Start Date: Jul 13, 2026 Hybrid on site in Union Square, NY. No ... Additionally, the candidate will write complex SQL queries, manage data in relational and SQL ...

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Temporary Python Sql information

What is the difference between Temporary Python Sql vs Data Analyst?

AspectTemporary Python SqlData Analyst
Required CredentialsPython, SQL, basic data skillsStatistics, Excel, SQL, Python (optional)
Work EnvironmentProject-based, short-term roles, tech-focusedOffice or remote, ongoing analysis tasks
Employer & Industry UsageTech companies, startups, consultingFinance, marketing, healthcare, corporate
Search & Comparison IntentTemporary Python Sql vs Data Analyst

Temporary Python Sql roles focus on short-term projects requiring Python and SQL skills for data manipulation and analysis. Data Analysts often have similar skills but typically work in ongoing roles with broader responsibilities. Both roles are common in tech and corporate environments, but the temporary positions are more project-specific, while Data Analysts may have more stable, long-term employment.

What are Temporary Python SQL jobs?

Temporary Python SQL jobs are short-term positions that require proficiency in both the Python programming language and SQL (Structured Query Language). These roles often involve data analysis, database management, or application development, where employers need extra support for a specific project or busy period. Temporary workers may help write scripts to automate data tasks, query databases, or support data-driven decision-making. These jobs are ideal for people looking for flexible work or to gain experience in tech environments. They can last from a few weeks to several months, depending on the employer's needs.

What are the typical responsibilities and expectations for someone in a Temporary Python SQL role?

In a Temporary Python SQL role, you can expect to work on short-term projects that involve developing scripts and tools using Python, as well as writing and optimizing SQL queries for data extraction, transformation, and analysis. You will often collaborate closely with data analysts, engineers, or business teams to meet specific project goals within tight deadlines. Adaptability and quick learning are important, as you may need to familiarize yourself with new databases or codebases rapidly. This role often provides valuable exposure to real-world datasets and can be a great opportunity to build hands-on experience in both programming and database management.

What are the key skills and qualifications needed to thrive as a Temporary Python SQL Developer, and why are they important?

To excel as a Temporary Python SQL Developer, you need strong programming skills in Python and SQL, often backed by a degree in computer science or relevant experience. Familiarity with databases like MySQL or PostgreSQL, version control systems (e.g., Git), and sometimes data analytics or ETL tools is typically required. Problem-solving ability, attention to detail, and adaptability are crucial soft skills for managing short-term projects and collaborating with teams. These competencies ensure you can deliver effective, efficient solutions within tight timelines and dynamic environments.
What are the most commonly searched types of Python Sql jobs in New York? The most popular types of Python Sql jobs in New York are:
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Temporary Python Sql jobs near you
Application Support Lead / Technical Lead - Long-term Contract - Hybrid

Application Support Lead / Technical Lead - Long-term Contract - Hybrid

Benchmark IT- Technology Talent

Montvale, NJ • On-site

Other

Posted 10 days ago

Job description

Applications Support Technical Lead Data Analytics / Azure / Databricks

Our client, a prestigious global firm, we seeking an experienced Applications Support Technical Lead for a long-term contract opportunity supporting global, Azure-based data analytics platforms. This is a hybrid role requiring 3 days per week onsite.

This is a hands-on technical leadership position focused on complex incident resolution, data platform troubleshooting, large dataset support, and root-cause analysis across modern Azure data environments.

The right candidate will serve as an escalation lead for challenging production issues involving large datasets, data pipelines, performance bottlenecks, configuration problems, and data-processing failures. You will work closely with support analysts, engineering teams, and product stakeholders to diagnose issues, guide resolution, and help create durable fixes.
This is a hybrid role with 3 days per week onsite.

Key Responsibilities

  • Lead technical support and escalation for complex data analytics application issues

  • Troubleshoot large-scale data processing problems involving volume, performance, data quality, configuration, and transformation logic

  • Investigate issues across Azure data services, Databricks, PySpark, SQL Server/DWH, ADLS, Delta, and Parquet

  • Diagnose ETL, reporting, dataset upload, and data movement issues across cloud-based platforms

  • Use advanced T-SQL skills to analyze, tune, and resolve production data issues

  • Create reusable troubleshooting assets, including runbooks, query packs, diagnostics, and support documentation

  • Coach analysts and partner with engineering/product teams to drive root-cause closure

Required Experience

  • 8+ years of experience in application support, technical lead, data platform support, or production troubleshooting roles

  • Strong hands-on experience with Azure data engineering and Python

  • Working knowledge of Databricks and PySpark

  • Strong T-SQL / data warehouse background, including stored procedures, functions, execution plans, indexing, CTEs, temp tables, and performance tuning

  • Experience troubleshooting large datasets, data pipelines, ETL workflows, and reporting issues

  • Strong understanding of relational database concepts and modern data platform support

  • Excellent communication skills with the ability to explain complex technical issues clearly

Nice to Have

  • Azure Data Factory experience

  • ADLS file format expertise: Parquet/Delta vs. CSV/Excel

  • Power BI, Alteryx, or advanced Excel

  • MSBI / SSIS background

  • ERP data experience with SAP or Oracle

  • Basic accounting or financial dataset knowledge

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