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Remote Data Integration Developer Jobs in Ohio (NOW HIRING)

Micro1

Remote Data Scientist

Trotwood, OH · Remote

Remote Job Summary Join our client's team as a Data Scientist and play a pivotal role in ... You will leverage your expertise in statistics, mathematics, and programming to tackle challenging ...

Micro1

Remote Data Scientist

Dayton, OH · Remote

Data ScientistJob Type: ContractorLocation: RemoteJob SummaryJoin our client's team as a Data ... You will leverage your expertise in statistics, mathematics, and programming to tackle challenging ...

Carrington

Senior, Data Engineer

Columbus, OH · Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... * Working knowledge of version control concepts, with experience using Microsoft DevOps for ...

Towards AI, Inc.

Data Analyst

Westlake, OH · Remote

Master AI Engineering with the most practical and comprehensive at Towards AI Academy.# AI Jobs ... Full-time,Remote,JobLocationType:,City:Westlake,Country:United States,Company:ADF Medical Services ...

New

ALLOBAAS

Data Engineer II

Lakewood, OH · On-site +1

Provide secondary support for Data Integration & Platform Engineering responsibilities, including ... If fully remote: must be willing to travel * This position will require the ability to work ...

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Remote Data Integration Developer information

What are the key skills and qualifications needed to thrive as a Remote Data Integration Developer, and why are they important?

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 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 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.

What cities in Ohio are hiring for Remote Data Integration Developer jobs? Cities in Ohio with the most Remote Data Integration Developer job openings:
Remote Data Integration Developer jobs near you

Data integration Architect with IBM StreamSets and Salesforce

S R INTERNATIONAL INC

Columbus, OH • Remote

$80 - $90/hr

Full-time

Posted 18 days ago

Job description

LOCAL OHIO CANDIDATES
State of Ohio- Data Integration Architect with IBM StreamSets and Salesforce - 797734
100% REMOTE must report on-site for 1st day at Columbus, Ohio 43215
Interviews will be via Teams

The Technical Specialist 4 (TS4) contract resource will design and implement Agency data engineering solutions, including data platform evaluation, selection recommendations, data modeling, and enterprise data architecture development. This position will serve as a senior technical contributor responsible for shaping and advancing the Agencys data ecosystem through scalable, secure, and well-governed data design practices.
The TS4 will make technical decisions affecting configuration and implementation of data analytics environments, data platforms, integration systems, and environment-specific data storage solutions. The position will collaborate with IT Architecture staff, the Agency CIO, and IT Managers to design data solutions aligned with agency business needs, enterprise standards, and long-term architectural direction. The TS4 will assist in evaluating solution designs, contributing to business case analysis, and recommending IT architecture improvements.
This role will serve as a significant contributor to the Agencys data modeling and data architecture practices, including:
Designing and maintaining conceptual, logical, and physical data models supporting enterprise analytics and operational systems
Establishing and promoting data modeling standards, naming conventions, and design patterns
Contributing to the development and evolution of the Agencys enterprise data architecture roadmap
Supporting domain-driven and scalable data design approaches aligned with enterprise data platforms and data governance objectives
Providing architectural guidance to ensure data solutions are reusable, interoperable, and aligned with enterprise integration strategies
The TS4 will recommend technical strategy by defining tasks and leading technical discussions related to design, implementation, operation, optimization, and ongoing maintenance of data systems. The position will work closely with Enterprise partners to determine and configure integrations between agency systems and enterprise data lake, data quality, and data curation platforms.
It is critical that this position possess at least five (5) years of proven experience related to data integration, data cleansing, data classification, and data modeling. The TS4 will provide technical leadership and guidance to DODDs Data Management team by designing and implementing best-practice solutions for integrating agency and enterprise data platform environments.
Required Skills:

  • Experience with Salesforce platforms
  • Experience with Microsoft Environments including Azure and Dynamics
  • Experience with StreamSets data integration pipelines
  • Experience with Snowflake data platform
  • Experience with Tableau analytics integration

This is a remote position.