1

Freelance Data Integration Developer Jobs (NOW HIRING)

Python Data Integration Developer

Manhattan, NY ยท On-site

$55.25 - $76.25/hr

Python Data Integration Developer Basic Information * Experience Level: 5-10 years Required Skills * Strong Python 3.x experience for data ingestion and transformation. * DataFrame processing ...

Freelance Data Specialist

Tallahassee, FL ยท On-site +1

$16.25 - $21.50/hr

Freelance Data Architect & Developer (SQL/Python) Location: Hybrid (Tallahassee, FL) - Requires periodic in-person collaboration, so you must be located within commuting distance.The Opportunity ...

This is a hands-on technical leadership role combining software engineering, data integration, and partner collaboration, with a clear growth path toward leading the Data Integration function.

Data/AI/ML Integration Developer Location: New York, NY Role Summary: Create secure, scalable integration pipelines and APIs connecting clinical systems, Snowflake data stores, and AI model endpoints.

Data Integration Engineer Location: Dallas TX Duration: 6 to 12+ Months Technical Skills: * Proficient in Apache Kafka concepts (producers, consumers, topics, partitioning, etc.) * Expertise in ...

Integration Developer

Boston, MA ยท On-site

$54.75 - $72.75/hr

Integration Developer needed for Motion Recruitment Partners LLC located in Boston, MA ... Design, build, and maintain data integration solutions to connect multiple systems and support ...

Krispy Kreme's Data Integration Engineer will be responsible for designing, implementing, and maintaining data integration solutions, creating robust data integration pipelines that connect B2B ...

Krispy Kreme's Data Integration Engineer will be responsible for designing, implementing, and maintaining data integration solutions, creating robust data integration pipelines that connect B2B ...

Showing results 21-40

Freelance Data Integration Developer information

See salary details

$10

$51

$84

How much do freelance data integration developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for freelance data integration developer in the United States is $51.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $58.17 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Data Integration Developer jobs? The most popular types of Data Integration Developer jobs are:
Infographic showing various Freelance Data Integration Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,501 per year, or $51.7 per hour.

Python Data Integration Developer

SysMind Tech

Manhattan, NY โ€ข On-site

$55.25 - $76.25/hr

Contractor

Re-posted 20 days ago


Job description

Python Data Integration Developer
Basic Information
  • Experience Level: 5-10 years

Required Skills
  • Strong Python 3.x experience for data ingestion and transformation.
  • DataFrame processing expertise (Polars preferred, Pandas acceptable).
  • Relational database modeling skills.
  • Familiarity with Geneva's data structures (output layouts, not platform config).
  • AWS (S3, ECS/Fargate, RDS - Postgres).
  • API consumption (GraphQL, REST, JSON).
  • Strong experience deploying Geneva in the Private Credit / Fund space, including multi-layer SPV/Fund structures.
  • Knowledge of Geneva securities.

Nice-to-Haves
  • Working Java knowledge for ORM integration.
  • Experience with Snowflake as a staging area.
  • Knowledge of bitemporal data models.
  • Workflow automation (BPMN tools).

Core Responsibilities
  • Ingest and transform Geneva output data (post-trade, portfolio, accounting) into internal ORM (Postgres + ORM).
  • Develop Python-based data importers for ingestion and transformation.
  • Assist in implementing Java components for ORM integration and bitemporal data model handling.
  • Map Geneva data to internal relational structures, ensuring accuracy and referential integrity.
  • Use GraphQL APIs to deliver data in standardized formats.
  • Collaborate with internal teams to enhance ingestion workflows and support reporting.
  • Document, maintain, and test ingestion processes.
  • Support AWS-hosted infrastructure for data pipelines (ECS/Fargate, S3, RDS).
  • Use Snowflake for temporary staging of rapidly evolving datasets when needed.