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Remote Data Integration Developer Jobs in Ohio (NOW HIRING)

Bachelor's Degree 10+ years of hands-on experience in multi-terabyte data warehousing engineering ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Xstore Developer (Remote)

Akron, OH ยท On-site +1

$74K - $125K/yr

Perform unit and integration testing. * Evaluate interrelationships between programs such as ... Develop and document test cases, test data requirements and expected results. * Maintain and update ...

Xstore Developer (Remote)

Akron, OH ยท On-site +1

$74K - $125K/yr

Perform unit and integration testing. * Evaluate interrelationships between programs such as ... Develop and document test cases, test data requirements and expected results. * Maintain and update ...

OH (Remote) Duration: 6 Month Contract with chance of extending/converting Overview: Working ... data visualizations using OAC and ADW. 4. Develop and maintain integration between OFSC and other ...

New

Data Solutions Engineer

Cincinnati, OH ยท On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... DevOps practices, and MLOps processes for integrating AI solutions. * Snowflake SnowPro ...

Remote Sensing Scientist

Dayton, OH ยท Remote

$91K - $140K/yr

Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree in Electrical Engineering, Physics, or comparable technical degree * Experience working with ...

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

Data Warehouse Sr. Manager

Huntington

Columbus, OH โ€ข On-site, Remote

Other

Posted 17 days ago


Job description

Description Summary: Huntington Bank is looking for a data warehouse leader in our Data Technology organization. In this role you will lead a team of 12-15 dedicated to pushing the limits of continuous improvement and innovation using data warehousing as a lever. As a Sr.

Manager of the Data Warehouse, you will report to the Data Warehouse Director and work closely with the Chief Data & Analytics Office to influence the business and technology strategies for the company. If you consider data as a strategic asset, evangelize the value of good data and insights, have deep understanding of data governance, are an experienced thought leader in data warehousing and love building teams and mentoring talent, this role is for you. You will be responsible for leading within the Enterprise Data Warehouse for the bank, including innovating on the platform to enable next-generation capabilities.

You will participate in the definition of the strategic roadmap for data technology and be responsible for executing data warehousing initiatives. You will partner with other Data Technology organizations and CDAO leads to architect and enable an effective data ecosystem, as well as key leaders in business and technology to understand and support their needs. Duties and Responsibilities: Manage a team of colleagues and contractors, providing resource allocation, coaching and development.

Lead a cross functional agile team to deliver on projects, providing thought leadership and technology oversight. Participate in demand management and planning, assessing impact, feasibility and estimating work effort. Understand and translate the technical design from the Data Architect team into implemented physical data models that meet data governance, enterprise architecture and business requirements for data warehousing.

Manage data within the data warehouse to ensure efficiency of platform. Work with operational data and data acquisition teams to manage incoming sources and the down-stream systems to understand and support their needs for reporting and analytics. Support incident resolution and continuous improvement to drive efficiency across multiple operational run metrics.

Basic Qualifications: Bachelor's Degree 10+ years of hands-on experience in multi-terabyte data warehousing engineering projects. 7+ years of experience as a technology manager for data warehouse teams. Preferred Qualifications: Deep understanding of enterprise data warehousing best practices for technical implementation and providing business value.

Thought leadership in next-evolution modern data architectures. Best practice EDW testing and validation approaches and implementation. Strong organizational skills with demonstrated ability to build and manage a high-performing team, work with partners to set and meet business service level agreement levels, plan and deliver work to expectations.

Strong communication and interpersonal skills for interacting and collaborating with developers, analysts and business colleagues throughout the organization. Proven ability to take requirements and logical designs and translate them into physical implementation, informed by business and enterprise requirements. Experience with traditional data architecture: operational data stores, sourcing and staging data, data integration, master data management, dimensional/snowflake and de-normalized design, managed views, datamarts and analytical sandboxes.

Experience with cloud technologies including AWS and Snowflake. Experience with DataLake, Python/PySpark, Erwin Enterprise Data Modeler. Experience with data governance and data management approaches, including data quality.

Experience with business intelligence and advanced analytics. Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home.

Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume.

All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration. Apply.