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Freelance Data Integration Developer Jobs (NOW HIRING)

Pay Lynxs

Senior Data Integration Engineer

Portland, OR · On-site

Looking for a place where you can grow and improve your DevOps and application interfacing skills? Well, you're in the right place! PayLynxs is hiring a Senior Data Integration Engineer to join our ...

New

PayLynxs

Senior Data Integration Engineer

Portland, OR · On-site

Looking for a place where you can grow and improve your DevOps and application interfacing skills? Well, you're in the right place! PayLynxs is hiring a Senior Data Integration Engineer to join our ...

New

DecisionPoint | Cortek

Senior Integration Developer

$120K - $125K/yr

Develop data transformation, mapping, and reconciliation logic using scripting languages and integration frameworks. * Ensure interoperability through API gateway management , secure token handling ...

Tier4 Group

Data Integration Specialist

Dallas, TX · On-site

Data Integration Engineer Contract to Hire Position Location: Dallas, TX Work Arrangement: 3 days per week onsiteAbout the Role We are seeking a Data Integration Engineer to join the Enterprise ...

Ursa Health

Data Integration Engineer

$160K - $180K/yr

AVP, Integration Engineering The Data Integration Engineer role is ideal for an experienced data professional eager to put their healthcare domain knowledge and engineering expertise to work in a ...

Caris Life Sciences

Data Integration Engineer

Position Summary The Data Integration Engineer will install back-end, automated data integrations to customer electronic medical records, billing, data warehouses or other applicable customer systems ...

Premier, Inc.

Data Integration Engineer

Data Integration Engineer What you will be doing: * Understanding of databases, SQL, XML, Databricks, and data integration tools * Familiarity with data automation, mining, and integration tools

BizFirst

Data / Integration Engineer

Washington, DC · On-site

$140K - $170K/yr

Data / Integration Engineer Summary: · Job Title: Data / Integration Engineer · Openings: 1 · Security Clearance: Public Trust or the ability to obtain one. · Work Type: Onsite · Job Type ...

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Conexus

$55 - $75/hr

Conexus is seeking intermediate level data integration engineers for contract work. Candidates will be supported to follow commonly established best practices as well as utilizing cutting edge ...

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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:
Freelance Data Integration Developer jobs near you
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.

Senior Data Integration Engineer

SITEC Consulting

Laurel, MD • On-site

$150K - $200K/yr

Full-time

Re-posted 10 days ago

Job description

Senior Data Integration Engineer
Location: Annapolis Junction, MD
Schedule: Full-Time, On-Site
Clearance Required: TS/SCI with Polygraph
SITEC Consulting is seeking a Senior Data Integration Engineer to support enterprise data modernization, integration, and automation efforts in a secure mission environment. This role will focus on ingesting, transforming, validating, and managing operational data that supports critical enterprise workflows and business applications.
The ideal candidate will bring a strong mix of database engineering, data integration, scripting, and automation experience. This position is well-suited for a proactive engineer who can operate independently, take ownership of technical deliverables, identify risks or gaps, and collaborate across engineering and stakeholder teams.
Responsibilities
  • Support ingestion of spreadsheet-based and structured data sources into enterprise databases and applications.
  • Develop and maintain data transformation workflows, including conversion of source data into JSON representations.
  • Validate, troubleshoot, and optimize data ingestion and synchronization processes.
  • Support enterprise database operations to ensure data integrity, availability, and consistency.
  • Assist with integration of enterprise data into workflow-based applications.
  • Collaborate with software engineers, systems engineers, and stakeholders to define data mappings, validation rules, and integration requirements.
  • Support reporting and downstream data consumption capabilities.
  • Monitor database performance and assist with troubleshooting operational issues.
  • Participate in automation and modernization initiatives across enterprise services.
  • Document database structures, data flows, ingestion processes, and operational procedures.
Required Qualifications
  • Active TS/SCI with Polygraph.
  • Bachelor's degree in a technical discipline and five years of experience as a Database Engineer or in a related technical role.
  • Ten years of related technical experience may be substituted in lieu of a degree.
  • Experience working with relational databases and SQL-based technologies.
  • Experience supporting data ingestion, transformation, or ETL-style workflows.
  • Experience working with structured data formats, including JSON, CSV, and Excel-based datasets.
  • Experience writing scripts or automation utilities using Python, PowerShell, or similar scripting languages.
  • Experience troubleshooting data validation and operational data quality issues.
  • Ability to communicate effectively with technical and non-technical stakeholders.
  • Ability to work core hours of 10:00 AM-2:00 PM, Monday through Friday.
Desired Skills
  • Demonstrated ability to operate independently and take ownership of technical deliverables.
  • Comfortable working in dynamic environments with evolving priorities and cross-team dependencies.
  • Ability to identify technical gaps, propose solutions, and proactively drive work forward with minimal oversight.
  • Strong troubleshooting and analytical skills in complex enterprise data environments.
  • Ability to balance independent execution with appropriate stakeholder coordination and escalation.
  • Strong organizational and communication skills.

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