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Part Time Etl Developer Jobs in New York (NOW HIRING)

Weekday AI

Data Engineer - Finance

New York, NY · On-site

$60 - $85/hr

Collaborate closely with finance and engineering stakeholders to translate business requirements ... Experience building, maintaining, and optimizing large-scale ETL/data pipelines. * Ability to work ...

TEGNA Inc.

Lead BI/Data/Web Developer

New York, NY · On-site

$130K - $155K/yr

Exceptional command of Advanced SQL for complex data querying, ETL processes, and performance ... Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute ...

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All JobsEtl Developer JobsPart Time Etl Developer JobsPart Time Etl Developer Jobs in New York

Part Time Etl Developer information

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How much do part time etl developer jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for part time etl developer in New York is $62.77, according to ZipRecruiter salary data. Most workers in this role earn between $53.65 and $70.24 per hour, depending on experience, location, and employer.

What is a Part Time ETL Developer job?

A Part Time ETL Developer is responsible for designing, developing, and maintaining ETL (Extract, Transform, Load) processes to support data integration and analytics. They work with databases, data warehouses, and ETL tools to ensure efficient data flow and transformation while optimizing performance. This role is typically suited for professionals who want flexible working hours while contributing to data-related projects. Part-time ETL developers may work remotely or on-site, depending on the employer’s needs.

What are the typical work expectations and daily tasks for a Part Time ETL Developer?

As a Part Time ETL Developer, you will typically work on designing, developing, and maintaining ETL processes that move and transform data between systems, often within a set number of weekly hours. Your daily tasks may include writing SQL queries, troubleshooting data quality issues, collaborating with business analysts or data engineers, and ensuring data pipelines run smoothly. Workloads can vary depending on project needs, but communication and efficient time management are key as you may be balancing multiple requests. You may also participate in team meetings and provide status updates, making your ability to prioritize and deliver results on a part-time schedule especially important.

What are the key skills and qualifications needed to thrive in the Part Time Etl Developer position, and why are they important?

To thrive as a Part Time ETL Developer, you need a strong understanding of data integration, SQL, and database systems, often backed by a degree in computer science or a related field. Experience with ETL tools like Informatica, Talend, or Microsoft SSIS, and familiarity with cloud platforms or database certifications, is highly valuable. Strong problem-solving, attention to detail, and effective communication help you manage complex data flows and work closely with stakeholders. These skills ensure accurate data processing, smooth collaboration, and the timely delivery of data solutions in a part-time capacity.

What are the most commonly searched types of Etl Developer jobs in New York? The most popular types of Etl Developer jobs in New York are:
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What cities in New York are hiring for Part Time Etl Developer jobs? Cities in New York with the most Part Time Etl Developer job openings:
Part Time Etl Developer jobs near you
Infographic showing various Part Time Etl Developer job openings in New York as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $130,568 per year, or $62.8 per hour.

Data Engineer - Finance

Weekday AI

New York, NY • On-site

$60 - $85/hr

Part-time

Posted 4 days ago

Job description

This role is for one of our clients

Compensation: $60 - $85 per hour

A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers its finance operations. You'll join a lean, high-impact team responsible for developing scalable data pipelines, improving data quality, and supporting critical financial initiatives. This is a 6-month, full-time onsite contract with the possibility of extension based on performance and business needs.

Location: Onsite - San Francisco, CA / New York, NY / Bellevue, WA

Requirements

Key Responsibilities
  • Design, build, and maintain robust PySpark-based data pipelines to ensure accurate and timely financial data processing.
  • Write, optimize, and troubleshoot complex SQL queries to extract, transform, and validate large-scale financial datasets.
  • Collaborate closely with finance and engineering stakeholders to translate business requirements into reliable data infrastructure solutions.
  • Own end-to-end data quality by identifying, investigating, and resolving pipeline issues efficiently.
  • Improve the reliability, scalability, and performance of data workflows supporting finance operations.
  • Contribute to architecture discussions and recommend best practices for data engineering and pipeline optimization.
  • Document workflows, data models, and engineering processes to ensure maintainability and knowledge sharing.
Requirements
  • 2-4 years of professional experience as a Data Engineer.
  • Strong hands-on experience with PySpark and distributed data processing frameworks.
  • Advanced SQL skills with experience writing efficient, production-grade queries.
  • Experience building, maintaining, and optimizing large-scale ETL/data pipelines.
  • Ability to work independently while collaborating effectively across cross-functional teams.
  • Bachelor's degree in Computer Science or a related technical discipline.
  • Excellent written and verbal communication skills.
  • Willingness to work onsite full-time.
Preferred Qualifications
  • Experience supporting finance, accounting, or enterprise business data platforms.
  • Familiarity with cloud-based data infrastructure and modern data engineering best practices.
  • Strong analytical and problem-solving abilities with attention to data accuracy.
  • Experience working in fast-paced, high-growth technology environments.
Role Details
  • Employment Type: Independent Contractor
  • Duration: 6-month contract with potential extension
  • Work Arrangement: Full-time, Onsite
  • Locations: San Francisco, CA / New York, NY / Bellevue, WA

Note: This is a hands-on data engineering position focused on building and maintaining production data infrastructure. It is not a business intelligence, reporting, dashboarding, machine learning, or AI research role.

Equal Opportunity

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract & Payment Terms
  • You will be engaged as an independent contractor.
  • This is a full-time onsite engagement.
  • Projects may be extended, shortened, or concluded early based on business needs and performance.
  • Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
  • Payments are made weekly via Stripe or Wise based on services rendered.
  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.

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