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Remote Data Engineer Jobs in Columbus, IN (NOW HIRING)

VIS IT Solutions Inc

STIBO Developer

Columbus, IN · Remote

Columbus, IN 47201 -- 100% Remote (Open to local candidates for working on-site) Duration: 6 - 12 ... STIBO Master Data Management (6-8 years) List Top 5 Technical Must-Haves: Domain Knowledge:

Circle

Principal Product Manager, Growth

Columbus, IN · Remote

$200K - $260K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Drive measurable share shift toward USDC versus competing stablecoins using market data and ...

Circle

Principal Product Manager, Growth

Nashville, IN · Remote

$200K - $260K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Drive measurable share shift toward USDC versus competing stablecoins using market data and ...

Circle

Senior AML Analyst, Sanctions

Nashville, IN · Remote

$97K - $127K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Maintain and validate sanctions screening data, including list updates across multiple ...

Circle

Senior AML Analyst, Sanctions

Columbus, IN · Remote

$97K - $127K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Maintain and validate sanctions screening data, including list updates across multiple ...

Circle

Senior Analyst, AML Know Your Customer

Columbus, IN · On-site +1

$97K - $127K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Work effectively in a fully remote environment with teams spanning multiple time-zones (our team is ...

Circle

Senior Finance Systems Analyst

Nashville, IN · Remote

$112K - $147K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Supporting finance teams in providing responses and data from systems for internal and SOX audits.

Circle

Senior Analyst, AML Know Your Customer

Nashville, IN · On-site +1

$97K - $127K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Work effectively in a fully remote environment with teams spanning multiple time-zones (our team is ...

Circle

Lead KYC Analyst

Columbus, IN · Remote

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Work effectively in a fully remote environment with teams spanning multiple time-zones (our team is ...

Circle

Senior Finance Systems Analyst

Columbus, IN · Remote

$112K - $147K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Supporting finance teams in providing responses and data from systems for internal and SOX audits.

Circle

Lead KYC Analyst

Nashville, IN · Remote

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Work effectively in a fully remote environment with teams spanning multiple time-zones (our team is ...

Circle

Senior Analyst, AML Know Your Customer

Columbus, IN · On-site +1

$97K - $127K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Work effectively in a fully remote environment with teams spanning multiple time-zones (our team is ...

Circle

Senior Analyst, AML Know Your Customer

Nashville, IN · On-site +1

$97K - $127K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Work effectively in a fully remote environment with teams spanning multiple time-zones (our team is ...

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Columbus, IN

Remote Data Engineer information

See Columbus, IN salary details

$41.4K

$120.6K

$165.1K

How much do remote data engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for remote data engineer in Columbus, IN is $120,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $127,900.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Columbus, IN? The most popular types of Data Engineer jobs in Columbus, IN are:
What cities near Columbus, IN are hiring for Remote Data Engineer jobs? Cities near Columbus, IN with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Columbus, IN as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,644 per year, or $58 per hour.

STIBO Developer

VIS IT Solutions Inc

Columbus, IN • Remote

Contractor

Re-posted 16 days ago

Job description

Hi,

Please find the job description below

Job Title: STIBO Developer

Location:  Columbus, IN 47201 -- 100% Remote (Open to local candidates for working on-site)                     

Duration: 6 – 12 months

Years of Experience required for the role: 5-8 yrs

SKILLS REQUIRED: STIBO Master Data Management (6-8 years)

List Top 5 Technical Must-Haves:

Domain Knowledge: Manufacturing

Cloud & DevOps: Experience deploying/operating STEP on Azure, containers (Docker/Kubernetes), and CI/CD (Azure DevOps/Jenkins/Git).

Data Governance: Familiarity with stewardship models, data quality KPIs, and audit/compliance practices.

Tools: Jira/Confluence/Git; ability to create solution documentation and training artifacts.

Key words:

STIBO STEP 11.x, MDM

Role Description:

Solutioning & Customer Engagement

Translate business requirements into STEP configurations and technical designs; present solution options with pros/cons and effort estimates.

Facilitate workshops, create functional/technical specifications, and drive stakeholder sign offs.

Development & Configuration

Design data models (domains, attributes, hierarchies, classifications, relationships) and configure workflows, business/validation rules, and lifecycle states.

Implement imports/exports, publications/syndications, and user interface components (roles, permissions, web UI).

Integration

Build integrations with ERP/eCommerce/PLM/DAM systems using REST/SOAP APIs and file based interfaces, design canonical data structures and error handling.

Data Quality & Governance

Implement data quality rules, stewardship processes, match/merge strategies, and reference data management to improve completeness, consistency, and accuracy.

Performance, Reliability & Security

Optimize STEP jobs, indexing and caching; perform root cause analysis; harden configurations for security and auditability.

DevOps & Release Management

Set up environment promotion, configuration transport/versioning, CI/CD pipelines, and deployment automation; maintain documentation.

Customer Communication & Change Management

Provide clear status updates, risk/issue logs, and release notes; create training materials and conduct enablement for business users.

Essential Skills:

STIBO STEP (11.x) Expertise: Strong hands on experience with STEP components—data modeling, workflows, business/validation rules, import/export, publication/syndication, roles/permissions, and UI configuration.

Programming & Scripting: Proficiency in Java (or JVM-based), SQL, XML/XSD, XPath/XSLT; comfort with API development/consumption (REST/SOAP).

Integration & ETL: Experience integrating STEP with enterprise systems (e.g., SAP/Oracle ERP, eCommerce platforms) using APIs, message queues or ETL tools (Informatica/Talend or similar).

Relational Databases: Strong SQL skills and experience with Oracle/MS SQL/PostgreSQL.

Communication: Crisp written/verbal communication; ability to present solutions to customer stakeholders and build consensus.

Self Starter Mindset: Works independently, plans sprints, unblocks self, and drives tasks to closure with minimal supervision.

 

Desirable Skills:

Domain Knowledge: Manufacturing

Cloud & DevOps: Experience deploying/operating STEP on Azure, containers (Docker/Kubernetes), and CI/CD (Azure DevOps/Jenkins/Git).

Data Governance: Familiarity with stewardship models, data quality KPIs, and audit/compliance practices.

Tools: Jira/Confluence/Git; ability to create solution documentation and training artifacts.