ZipRecruiter

Log In

2

Remote Data Transfer Jobs in Ohio (NOW HIRING)

Aimpoint Digital

$116.10K - $153.10K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to ...

Bowling Green State University

ETL Developer

Bowling Green, OH · On-site +1

$47.75 - $62.50/hr

Main Campus (BG), OH Job Type: Full-Time Remote Employment: Flexible/Hybrid Job Number: BGSU01604 ... Works with Data Governance and functional teams to ensure data quality. * Provides technical ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT ... transfers between domains, to support system integrity and performance monitoring * Policy and ...

My3Tech Inc

Data Analyst

Independence, OH · Remote

... ETL tools (Informatica preferred) and data conversion projects. Basic Qualification : Additional Skills : Long Term Contract 100% Remote Background Check : Yes Drug Screen : Yes Notes : Selling ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT ... transfers between domains, to support system integrity and performance monitoring * Policy and ...

Parsons

Data Analyst - GEOINT Technical SME

Fairborn, OH · On-site +1

... data transfers between domains, to support system integrity and performance monitoring. * Policy ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Aimpoint Digital

$99.10K - $136.10K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Experience working with other cloud ETL/ELT tools (Fivetran, Matillion, Informatica, Talend, etc ...

Inizio Partners

Databricks Data Engineer

Columbus, OH · Remote

$150K/yr

Columbus, OH (1st choice), Remote (2nd choice) Experience Required: 7-12 years Base Salary: Up to ... Strong experience in data modeling, ETL/ELT pipeline development, and automation * Hands-on ...

Vaco LLC

Data Architect / Data Engineers

Blue Ash, OH · Remote

$80 - $100/hr

This role is highly consultative and hands-on, focused on enterprise data architecture, pipeline development, analytics enablement, and knowledge transfer. The engagement is fully remote and contract ...

Georgia IT Inc

Data Engineer- Columbus OH

Columbus, OH · Remote

$107K - $128.50K/yr

Job- Data Engineer Location- Remote Core skills needed - * Data Engineering tools and techniques (any ETL/ ELT skills are good to have ) * Python, XML, XPath * SQL * AWS Lambda, SQS, Fargate, S3 ...

Synergy

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107.90K - $129.60K/yr

Palantir Foundry Engineer #0910 Perrysburg, OH 43551 / Hybrid-Remote Long-term ***PLEASE DO NOT ... Design and implement ETL/ELT processes, ensuring data quality, normalization, and integrity. Build ...

next page

Showing results 1-20

People also search for

All JobsData Transfer JobsRemote Data Transfer JobsRemote Data Transfer Jobs in Ohio

Remote Data Transfer information

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

To thrive as a Remote Data Transfer Specialist, you need strong analytical skills, attention to detail, and experience with data management or IT systems, often backed by a degree in computer science or a related field. Familiarity with secure file transfer protocols (SFTP, FTP), cloud storage solutions, and data encryption tools is typically required, along with certifications like CompTIA Security+ or similar. Strong problem-solving abilities, effective communication, and the ability to work independently are vital soft skills in this remote role. These competencies ensure accurate, secure, and efficient data transfers, minimizing errors and maintaining data integrity across distributed environments.

What are some common challenges faced by professionals in remote data transfer roles and how can they be addressed?

Professionals in remote data transfer roles often encounter challenges such as ensuring data security during transmission, managing large volumes of files, and maintaining reliable connectivity. To address these issues, it's important to use secure transfer protocols (like SFTP or HTTPS), implement data encryption, and utilize automation tools for batch transfers. Additionally, collaborating closely with IT and cybersecurity teams helps maintain compliance with data privacy regulations and troubleshoot any network-related issues quickly.

What is a Remote Data Transfer job?

A Remote Data Transfer job involves securely moving, copying, or synchronizing data between different locations, systems, or devices over a network, often via the internet. Professionals in this role ensure that data is transmitted efficiently and safely, following best practices for data integrity and privacy. Tasks may include managing large data migrations, setting up automated transfer processes, troubleshooting connectivity issues, and ensuring compliance with relevant regulations. This job often allows for remote work, as most tasks can be performed online using specialized software and cloud services.

What is the difference between Remote Data Transfer vs Remote Data Transfer?

AspectRemote Data TransferRemote Data Analyst
Required CredentialsNetworking certifications, IT or computer science degreeData analysis certifications, statistics or data science degree
Work EnvironmentIT infrastructure, network managementData analysis, reporting, visualization
Industry UsageIT, telecommunications, cloud servicesBusiness, finance, marketing, healthcare
Common Search IntentTechnical network transfer rolesData analysis and reporting roles

Remote Data Transfer focuses on managing and executing data movement across networks, requiring networking skills and IT certifications. Remote Data Analyst involves analyzing data sets, creating reports, and visualizations, often requiring data science or analytics credentials. While both roles work remotely, their core skills, tools, and industry applications differ significantly.

What are popular job titles related to Remote Data Transfer jobs in Ohio? For Remote Data Transfer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Data Transfer jobs in Ohio look for? The top searched job categories for Remote Data Transfer jobs in Ohio are:
What cities in Ohio are hiring for Remote Data Transfer jobs? Cities in Ohio with the most Remote Data Transfer job openings:
Remote Data Transfer jobs near you

Senior Data Engineer 2026 - US,UK

Aimpoint Digital

On-site, Remote

$116.10K - $153.10K/yr

Full-time

Posted yesterday

Job description

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?
Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.
You will:
  • Become a trusted data and AI advisor to our clients, from data owners and analytic users to executive stake holders helping them translate business questions into AI-ready data architectures
  • Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
  • Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, orchestration jobs, and analytic layers that support LLM-driven analytics, natural language querying, and agent-based workflows
  • Build and evolve semantic and analytical layers that power tools like Snowflake Cortex, Databricks Genie, BI platforms, and emerging AI Copilots
  • Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native orchestration frameworks to deliver scalable solutions, and credentialize your skills with certifications
  • Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases
  • Design modern data models with an emphasis on metrics layers, knowledge graphs, and semantic consistency for AI consumption
  • Write production-ready code in SQL, Python, and Spark, following software engineering tools and best-practices such as Git and CI/CD
  • Apply AI-assisted data engineering techniques for data exploration, quality checks, schema generation, documentation, lineage, and transformation acceleration
  • Contribute to the evolution of our AI-forward data engineering and infrastructure practice, including internal accelerators, patterns, and client-ready architectures
  • Collaborate with analytics, data science, and ML project teams to productionize AI-enabled analytics, features, and inference pipelines. Note: You will not be developing machine learning models or algorithms

Who you are:
We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.
As a Senior Data Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
  • Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experienced at partnering with business stakeholders, explaining technical concepts clearly, and shaping solutions around real business outcomes
  • Passionate about modern data engineering and AI trends, including LLM powered analytics, semantic layers, vectorized data access, and metadata-driven architectures
  • Strong written and verbal communication skills required
  • 3+ years working with relational databases and query languages
  • 3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
  • 3+ years data modeling (e.g. star schema, entity-relationship)
  • 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
  • 2+ years' experience with dbt Core and/or dbt Cloud preferred
  • Experience enabling or accelerating data platform engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferred
  • Comfortable working independently on individual workstream, owning end-to-end delivery from design through production
  • Expertise in software engineering concepts and best practices
  • DevOps experience preferred
  • Experience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred
  • Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) preferred
  • Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
  • Experience working with Apache Spark preferred
  • Experience preparing data for analytics and following a data science workflow to drive business results preferred
  • Consulting experience strongly preferred
  • Willingness to travel

We are actively seeking candidates for full-time, remote work within the US and UK. Atlanta and London applicants will have the opportunity to work in our regional offices.

Apply