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On Call Data Validator Jobs (NOW HIRING)

Central Health

Data Integration Engineer

Austin, TX

$104K - $141K/yr

Provide on-call support when required for critical integration failures.-Quality Assurance & Data Validation: Perform unit testing, peer code reviews, and integration testing for all developed ...

Central Health

Data Integration Engineer

Austin, TX · On-site

$104K - $141K/yr

Provide on-call support when required for critical integration failures. -Quality Assurance & Data Validation: Perform unit testing, peer code reviews, and integration testing for all developed ...

Central Health

Data Integration Engineer

Austin, TX

$104K - $141K/yr

Provide on-call support when required for critical integration failures. -Quality Assurance & Data Validation: Perform unit testing, peer code reviews, and integration testing for all developed ...

On Call International

Accounts Payable Assistant

Salem, NH · On-site

$19 - $23.75/hr

Why would we be right for you? On Call International For more than two decades, On Call ... Utilize internal software tools to validate and cross check data entries before submitting payment ...

GeoDelphi

Data Scientist

Alexandria, VA · Remote

Our team member must be willing to be on call for weekend requirements. The candidate MUST be a US ... Conducts statistical modeling and experimental design, tests, and validates predictive models.

GeoDelphi

Data Scientist

Alexandria, VA

Our team member must be willing to be on call for weekend requirements. The candidate MUST be a US ... Conducts statistical modeling and experimental design, tests, and validates predictive models.

GeoDelphi

Data Scientist

Alexandria, VA · On-site +1

Our team member must be willing to be on call for weekend requirements. The candidate MUST be a US ... Conducts statistical modeling and experimental design, tests, and validates predictive models.

DigitalOcean

Data Center Technician

Memphis, TN · Remote

$66K - $83K/yr

A valid driver's license (must be comfortable with driving) * Willing to receive guidance from ... Willingness to participate in an on-call rotation * Ability to be on your feet all-day * Ability to ...

NTT Data Americas, Inc.

Azure Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... on-call production support in a highly transactional environment. PRINCIPAL DUTIES ... Develop and execute unit and integration test cases to validate changes and releases. Coordinate ...

Omni Inclusive

Data Engineer

Rosemont, IL · On-site

$115K - $138K/yr

... and validate data, star schema, normalization denormalization, dimensions, aggregations etc, 4+ ... CICD, security, change management, RCA, on-call rotation etc, Nice to have: Technical ...

haku

Data Platform Engineer

Miami, FL · Remote

... in on-call response for platform incidents. If you are motivated by building stable, scalable ... Execute and validate backup and disaster recovery procedures * Support and improve high ...

haku

Data Platform Engineer

Miami, FL · On-site

... in on-call response for platform incidents. If you are motivated by building stable, scalable ... Execute and validate backup and disaster recovery procedures * Support and improve high ...

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All JobsOn Call Data Validator Jobs

On Call Data Validator information

What is the difference between On Call Data Validator vs Data Entry Clerk?

AspectOn Call Data ValidatorData Entry Clerk
Required CredentialsHigh school diploma, training in data validationHigh school diploma or equivalent, basic computer skills
Work EnvironmentOffice or remote, often on-call basisOffice setting, regular hours
Employer & IndustryHealthcare, finance, data management companiesVarious industries, administrative roles
Primary TasksVerify data accuracy, identify errors, ensure data qualityInput data into systems, maintain records

On Call Data Validators focus on verifying and ensuring data accuracy, often working on an on-call basis, while Data Entry Clerks primarily input and maintain data records in a regular work environment. Both roles require attention to detail but differ in responsibilities and work setup.

What are On Call Data Validators?

On Call Data Validators are professionals responsible for reviewing, verifying, and ensuring the accuracy of data, often on an as-needed or flexible schedule. They may be called upon to validate data sets, check for errors or inconsistencies, and confirm that information meets specific standards or guidelines. This role is crucial in organizations that handle large volumes of data and require ongoing quality assurance to maintain data integrity. On Call Data Validators may work remotely or on-site, depending on the employer's needs, and typically possess strong attention to detail and analytical skills.

What is the role of a data validator?

A data validator is responsible for reviewing and verifying the accuracy, consistency, and completeness of data entries. They use tools like spreadsheets or specialized software to identify errors and ensure data quality, often following established guidelines or standards. Attention to detail and knowledge of data management are essential skills for this role.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, and Data Architect tend to be the highest paying, often earning six-figure salaries. These positions require advanced skills in data analysis, machine learning, and leadership, and typically involve overseeing data strategy and infrastructure at organizations.

What are the typical challenges faced by an On Call Data Validator, and how can they be addressed?

On Call Data Validators often encounter challenges such as handling urgent data validation requests, managing inconsistent or incomplete data, and ensuring accuracy under tight deadlines. These situations require strong attention to detail, effective communication with data owners, and the ability to prioritize tasks efficiently. Developing a clear understanding of data validation protocols and leveraging tools or checklists can help address these challenges and maintain high data quality standards.

What professions have on call?

On-call duties are common in professions such as healthcare (doctors, nurses), IT support, emergency services, and maintenance technicians. These roles require employees to be available outside regular hours to respond to urgent situations or system issues, often with additional compensation or flexible scheduling.

What are the key skills and qualifications needed to thrive as an On Call Data Validator, and why are they important?

To thrive as an On Call Data Validator, you need strong analytical skills, attention to detail, and a background in data management or quality assurance, often supported by a relevant degree or equivalent experience. Familiarity with data validation tools, spreadsheets (like Microsoft Excel), and possibly database management systems is typically required. Excellent problem-solving abilities, effective communication, and time management are valuable soft skills in this role. These skills ensure that data is accurate, reliable, and available when needed, supporting business operations and decision-making.

Are data entry jobs from home real?

Data entry jobs from home are legitimate opportunities that involve inputting information into digital systems, often requiring basic computer skills and attention to detail. Many companies offer remote data entry positions, but job seekers should verify the legitimacy of employers to avoid scams. These roles typically involve flexible schedules and can be performed using standard office software or specialized data management tools.
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What cities are hiring for On Call Data Validator jobs? Cities with the most On Call Data Validator job openings:
What are the most commonly searched types of Data Validator jobs? The most popular types of Data Validator jobs are:
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What job categories do people searching On Call Data Validator jobs look for? The top searched job categories for On Call Data Validator jobs are:
On Call Data Validator jobs near you
Infographic showing various On Call Data Validator job openings in the United States as of June 2026, with employment types broken down into 8% As Needed, 23% Part Time, 66% Contract, and 3% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Integration Engineer

Data Integration Engineer

Central Health

Austin, TX

$104K - $141K/yr

Full-time

Posted 4 days ago

Job description

Overview

JOB SUMMARY

The Central Health System's Data Integration Engineer designs, develops, implements, enhances, and supports enterprise integrations, APIs, and cloud data pipelines across on-premise and cloud environments. Primary platforms include Boomi Integration (iPaaS) and Boomi Data Integration for application and data workflows; Snowflake for cloud data warehousing; and Microsoft Azure services for orchestration, compute, and API management. The role enables interoperability using standards such as RESTful APIs, HL7 v2.x messaging, X12 EDI claims transactions (e.g., 270/271, 276/277, 834, 835, 837, 999/TA1), and FHIR APIs. The engineer ensures secure, reliable, and compliant data exchange among internal systems (EHR, revenue cycle, operations) and external partners (payers, state agencies, and vendors).

This role is central to the organization's modern data platform strategy, including event-driven integration patterns, medallion/lakehouse data architecture in Snowflake and Azure Data Lake Storage Gen2, AI/ML data pipeline readiness, and compliance with CMS interoperability mandates. The engineer partners closely with architects, data scientists, clinical informatics teams, and external vendors to deliver trusted, high-quality data products across the system.

Responsibilities

Essential Functions

-Boomi Integration Design & Development: Design, build, and maintain enterprise integrations using Boomi Integration (iPaaS) - including process workflows, connector configuration (HTTP/S, SQL, SFTP, HL7, EDI), decision logic, and robust error handling and retry patterns.-Epic EHR & Clinical System Integrations: Develop and support Epic-sourced integrations with diagnostic machines, medical devices, lab systems, and other clinical applications - including ADT, ORU, SIU, ORM, VXU, and DFT message flows. Serve as the primary technical resource for Epic interface build and troubleshooting.-Vendor & Partner Data Integrations: Build and maintain integrations with external vendors, payers, state agencies, and third-party data sources - including inbound/outbound file-based (SFTP, flat file, CSV, JSON, XML) and APIbased exchange patterns. Coordinate with vendor technical contacts for onboarding and issue resolution.-Healthcare Interoperability (HL7, X12 EDI, FHIR): Develop, parse, validate, and transform HL7 v2.x messages and X12 EDI transactions (270/271, 276/277, 834, 835, 837, 999/TA1). Design and support FHIR R4 APIs - including Patient Access, Provider Directory, and Payer-to-Payer exchange - aligned with CMS interoperability mandates and SMART on FHIR authorization.-RESTful API Development & Management: Design, implement, and maintain secure RESTful APIs. Enforce standards for versioning, authentication (OAuth 2.0/JWT), rate limiting, and error handling. Manage APIs through Azure API Management. Create and maintain OpenAPI/Swagger specifications.-Event-Driven Integration: Design and implement event-driven integration patterns using Azure Event Hubs and/or Service Bus to support near-real-time clinical and operational data exchange between systems. Evaluate Apache Kafka / Confluent for use cases requiring true streaming.

-Boomi Atom & Environment Management: Configure, deploy, and manage Boomi Atoms and Atom Clouds across environments (dev, test, prod). Maintain environment promotion pipelines using CI/CD practices (Azure DevOps / GitHub Actions) and adhere to version control and release management standards.-Data Landing to Snowflake & Azure: Develop and maintain integration pipelines that reliably land and stage data in Snowflake (via Snowpipe, external stages, and Streams) and Azure Data Lake Storage Gen2, in alignment with data structures and contracts defined by the Data Engineering team.-Integration Security & HIPAA Compliance: Ensure all integrations comply with HIPAA, CMS interoperability rules, and organizational security policies. Manage credentials and secrets via Azure Key Vault. Apply zero-trust principles, including private endpoints and VNet integration, for pipelines carrying PHI. Implement PHI deidentification where required for analytics use cases.-Error Handling, Monitoring & Alerting: Implement comprehensive error detection, exception handling, and alerting across all Boomi-based integrations. Configure monitoring dashboards and threshold-based alerting using Boomi AtomSphere monitoring and Azure Monitor. Maintain SLA commitments for data freshness and delivery.-Incident Response & Advanced Support: Serve as the escalation point for integration and API incidents. Conduct root cause analysis, implement fixes, and communicate resolution status to stakeholders. Provide on-call support when required for critical integration failures.-Quality Assurance & Data Validation: Perform unit testing, peer code reviews, and integration testing for all developed solutions. Implement data validation and reconciliation checks at integration boundaries. Adhere to team coding standards and maintain version control for all integration assets.-Technical Documentation: Create and maintain integration specifications, interface control documents, message mapping guides, sequence diagrams, and operational runbooks in the team knowledge repository (Confluence or equivalent). Keep documentation current with every change.-Cross-Functional Collaboration: Partner with architects, Data Engineering, clinical informatics, QA, PMO, and business stakeholders to define integration requirements and deliver solutions. Coordinate handoff points and data contract agreements with the Data Engineering team. Communicate risks, issues, and dependencies proactively.-Vendor Coordination & Oversight: Assist with technical relationships with integration vendors, interface engine vendors, and payer/partner technical contacts. Participate in onboarding, scoping, and troubleshooting of thirdparty integration components. Escalate vendor performance issues as needed.

Qualifications

MINIMUM EDUCATION:

-Bachelors degree in computer science or a related field OR Associate's degree in computer science or a related field with 2 years of additional experience OR High school diploma/equivalent with 4 years of additional experience

REQUIRED EXPERIENCE:

-1 year in Healthcare IT

-1 year as an application, database, and/or integration developer

-1 year with an integration platform (Boomi, Mirth Connect, Cloverleaf, MuleSoft, or equivalent)

-1 year with ETL platforms such as Pentaho, Informatics, Talend, and/or SSIS

-1 year with at least one healthcare interoperability standard: HL7 v2.x, X12 EDI, or FHIR APIs

-2 years with SQL

REQUIRED LICENSURE/CERTIFICATIONS:

-EPIC certification (within 6 months of hire)

-Boomi Professional Developer certification (within 6 months of hire)

Employment Type: FULL_TIME

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