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Remote Data Integration Developer Jobs in Pride, LA

Kobie Marketing

AI Engineer

Baton Rouge, LA · Remote

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

Wood Plc

Water Resources Engineer - FEMA

Baton Rouge, LA · Remote

$75K - $103K/yr

This role has the opportunity to be remote from any location within the US. Key Responsibilities ... Support Field Investigations including the collection and analysis of data used to support ...

ABB

Strategic Segment Proposal Engineer

LA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

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Remote Data Integration Developer information

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

As of Aug 18, 2026, the average hourly pay for remote data integration developer in Pride, LA is $50.04, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $56.35 per hour, depending on experience, location, and employer.

What is a remote data integration developer?

A Remote Data Integration Developer is an IT professional who specializes in designing, building, and maintaining systems that combine data from different sources, working entirely from a remote location. They use tools and programming languages to create automated data pipelines, ensure data quality, and enable seamless data flow across platforms. Their role is crucial for organizations needing accurate, up-to-date data for analysis and decision-making. Remote Data Integration Developers often collaborate with data engineers, analysts, and stakeholders, using cloud-based tools to facilitate their work.

What are the key skills and qualifications needed to thrive as a remote data integration developer?

To thrive as a Remote Data Integration Developer, you need a strong background in database management, ETL processes, and programming languages like SQL, Python, or Java, often supported by a degree in computer science or related fields. Familiarity with data integration platforms (e.g., Informatica, Talend, MuleSoft), cloud services (AWS, Azure), and relevant certifications are typically required. Excellent problem-solving skills, attention to detail, and effective remote communication are crucial soft skills for collaborating across distributed teams. These skills and qualifications ensure the seamless, secure, and efficient transfer of data across systems, which is vital for organizational decision-making and operations.

What are some common challenges remote data integration developers face when collaborating with distributed teams?

Remote Data Integration Developers often work with teams spread across different time zones and departments, which can present challenges in communication and project coordination. Ensuring data consistency and managing integration schedules require clear documentation and regular virtual meetings to stay aligned. Additionally, troubleshooting integration issues remotely may involve navigating various system environments without direct on-site access. Proactive communication and the use of collaborative tools help overcome these obstacles and support successful project delivery.

What is the difference between Remote Data Integration Developer vs Data Engineer?

AspectRemote Data Integration DeveloperData Engineer
Required CredentialsTypically requires SQL, ETL tools, and data integration certificationsRequires SQL, programming languages (Python, Java), and sometimes cloud certifications
Work EnvironmentPrimarily remote, focused on data pipelines and integration tasksOften remote or on-site, involved in building and maintaining data infrastructure
Employer & Industry UsageUsed in tech, finance, healthcare for data flow managementCommon in tech, finance, and large enterprises for data architecture

The Remote Data Integration Developer focuses on designing and implementing data pipelines and integrating data from various sources, often working with ETL tools. Data Engineers build and maintain the overall data infrastructure, including data warehouses and pipelines, requiring broader programming skills. Both roles are essential in data management but differ in scope and technical depth.

Remote Data Integration Developer jobs near you

Data Conversion Specialist

Software People, Inc.

Baton Rouge, LA • Remote

Contractor

Re-posted 21 days ago

Job description

Phone/Skype Hire. Remote

Location: Remote

Duration: 12+ months

Responsibilities

  • Analyze and map data from the old system to the new one.
  • Develop and implement data conversion plans.
  • Design and execute data validation and testing processes.
  • Ensure data quality and integrity throughout the data conversion process.
  • Collaborate with LDWF stakeholders and OTS technical teams to define and prioritize data conversion requirements.
  • Provide technical knowledge transfer, training, and documentation to OTS and LDWF Agency staff for all requested work.
  • Participate by providing feedback and detailed design and implementation approaches in all necessary team meetings and design sessions in accordance with Scrum ceremonies.
  • Cooperation with LDWF’s Technical Architect and other OTS technical teams to ensure compliance with OTS standards of State applications.
  • Perform all other tasks, special projects, analysis, studies, and plans as directed.

Skills Needed

  • Five (5) plus years advanced SQL experience writing complex queries, joins, and stored procedures to identify anomalies and transform data types.
  • Two (2) plus years ETL experience using enterprise tools (Informatica, SSIS) or scripting languages (Python, PowerShell) to move data from Point A to Point B.
  • Four (4) plus years experience working on data migration or data integration projects with specific experience in Data Profiling, Schema Mapping, Data Normalization, and Error Handling
  • Experience with creating documentation such as data mapping documents and data dictionaries
  • Experience working on a development team.
  • Experience with client engagements on design, delivery, deployment and on-going maintenance.
  • Previous experience working in an Agile/Scrum environment.