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Python Back Jobs in Queens, NY (NOW HIRING)

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... to-back-office. Work Location: Jersey City, NJ - minimum 3 days per week working from the office. Key Responsibilities: * Design, develop, and optimize data solutions using Snowflake, Python, and ...

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Proficiency in Python scripting and programming for data manipulation and automation. Familiarity ... Trade Processing, Settlement, Reconciliation, and related back/middle-office functions within ...

Remote Senior Data Analyst

New York, NY · Remote

$94K - $118K/yr

... back workflows -Proficient in Python (Pandas, Numpy, etc.) -Knowledge of financial data, reporting and accounting -Comfort working with time-series data -Proficient in Excel -Eager and willing to ...

Senior Data Engineer

Jersey City, NJ · On-site

$110K - $150K/yr

... back-office (not mandatory) Key Responsibilities: * Design, develop, and optimize data solutions using Snowflake, Python, and Oracle PL/SQL. * Develop and maintain reports and dashboards using ...

Software Engineer

New York, NY · On-site

$130K - $200K/yr

ABOUT GLIMPSE Glimpse is the leading AI platform for CPG brands - automating critical back-office ... Proficient in Python, Node.js, Next.js * Experience building with LLMs. * Strong problem-solving ...

Java Developer

Englewood, NJ · On-site

$53.50 - $69.25/hr

Please go through the below req and reply me back with your updated resume,minimum expected hourly ... Englewood, NJ Strong in core Java and Spring, Spring boot Graphql, Python, AWS Knowledge of Nifi ...

Develop and maintain Python-based analytics and research workflows integrated with production ... Coordinates with back office on all failed trade status and communicates to front office

Showing results 21-40

Python Back information

See Queens, NY salary details

$13

$61

$90

How much do python back jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for python back in Queens, NY is $61.17, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.47 per hour, depending on experience, location, and employer.

What is the difference between Python Back and Python Data Engineer?

AspectPython BackPython Data Engineer
Required CredentialsPython programming, basic database knowledgePython, SQL, data modeling certifications
Work EnvironmentBackend development teams, software companiesData teams, analytics departments
Industry UsageSoftware development, web servicesData analysis, big data projects
Common Search IntentBackend development with PythonData pipeline and infrastructure roles

Python Back focuses on backend development tasks using Python, such as server-side logic and API creation. Python Data Engineer specializes in building data pipelines, managing data storage, and working with large datasets. While both roles require Python skills, Python Data Engineers often need additional knowledge of SQL and data architecture. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

Are Python Back still in demand in 2026?

Python backend development remains in high demand in 2026 due to its widespread use in web development, data science, and automation. Skills in frameworks like Django and Flask, along with knowledge of APIs and databases, are valuable for backend roles. The demand is driven by the ongoing need for scalable, efficient server-side solutions across industries.

Is Python backend in demand?

Python backend development is highly in demand due to its versatility, ease of use, and extensive libraries like Django and Flask. Many companies seek Python developers for web applications, data analysis, and automation, making it a valuable skill for backend roles.

What are 10 careers related to Python?

Careers related to Python include Python developer, data scientist, machine learning engineer, software engineer, automation engineer, data analyst, backend developer, DevOps engineer, cybersecurity analyst, and research scientist. These roles often require knowledge of programming, data analysis, and software development tools, with many positions demanding proficiency in Python libraries and frameworks.

What are popular job titles related to Python Back jobs in Queens, NY?

For Python Back jobs in Queens, NY, the most frequently searched job titles are:

What job categories do people searching Python Back jobs in Queens, NY look for?

The top searched job categories for Python Back jobs in Queens, NY are:

What cities near Queens, NY are hiring for Python Back jobs?

Cities near Queens, NY with the most Python Back job openings:

Data Engineer

Apptad, Inc.

Manhattan, NY • On-site

$126K - $151K/yr

Contractor

Posted 12 days ago


Job description

Job Title: Data Engineer
Location: NYC, NY
Job Description
We are seeking an experienced professional with strong expertise in Snowflake, Python, Oracle PL/SQL, and reporting/BI tools to deliver scalable data solutions and lead project execution, with proven delivery experience across Capital Markets corporate functions, securities, and front-to-back-office.
Work Location:
Jersey City, NJ - minimum 3 days per week working from the office.
Key Responsibilities:
  • Design, develop, and optimize data solutions using Snowflake, Python, and Oracle PL/SQL.
  • Develop and maintain reports and dashboards using standard BI/reporting tools to support business decision-making.
  • Lead end-to-end project deliverables, ensuring quality, timeliness, and alignment with customer requirements.
  • Drive and manage weekly and monthly governance calls, including status reporting, risk management, and stakeholder communication.
  • Ensure all project tasks and milestones are completed on time with high quality standards.
  • Provide technical leadership and mentorship to the team, reviewing designs and code to ensure best practices.
  • Engage directly with customers to understand business needs, translate them into technical solutions, and manage ongoing interactions.
  • Collaborate with cross-functional teams to ensure smooth delivery and adoption of solutions.
  • Apply Generative AI concepts and tools where relevant to enhance data engineering, analytics, automation, and productivity use cases.
  • Continuously identify opportunities for process improvement, automation, and innovation.

Required Skills and Experience:
  • Technical: Snowflake, Oracle Pl/SQL, DBT, Python, any BI reporting tool
  • Strong hands-on experience with Snowflake, including data modeling, performance optimization, and cost management.
  • Advanced proficiency in Python for data processing, automation, and integration.
  • Solid experience in Oracle PL/SQL, including complex queries, procedures, and performance tuning.
  • Experience with at least one enterprise reporting or BI tool.
  • Proven leadership skills with experience leading teams and owning project delivery.
  • Strong customer interaction and stakeholder management skills.
  • Experience driving governance forums and executive-level status reviews.
  • Exposure to Generative AI, including use cases, tools, or solution implementation, is highly desirable.
  • This role requires a strong balance of technical depth, leadership capability, and customer-facing skills to successfully deliver high-impact data and analytics solutions.

Apptad logo

About Apptad

Sourced by ZipRecruiter

Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers.Apptad is relentlessly reinventing the outlook of how companies leverage data. With an effort to enable our customers the ability to solve biggest problems within their organization. We perceive our clients’ problems and respond with custom solutions instead of handing over boilerplate responses.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Reston, VA, US

Year founded

2018

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