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Datacard Jobs (NOW HIRING)

Innodata Inc.

Solution Architect

Washington, DC · On-site

$70 - $75/hr

Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role:

Innodata Inc.

AI Solutions Engineer

Washington, DC · On-site

$75 - $80/hr

Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role:

Innodata Inc.

$70 - $75/hr

Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role:

Innodata Inc.

$75 - $80/hr

Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About this Role:

Innodata Inc.

$75 - $80/hr

Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role:

Innodata Inc.

Data & Annotation Engineer

Washington, DC · On-site

$55 - $60/hr

Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role:

Innodata Inc.

$55 - $60/hr

Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role:

Innodata Inc.

$50 - $55/hr

Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the role:

Innodata Inc.

QA / Evaluation Lead

Washington, DC · On-site

$45 - $50/hr

Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role:

Innodata Inc.

$45 - $50/hr

Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role:

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Datacard information

See salary details

$14

$27

$44

How much do datacard jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for datacard in the United States is $27.75, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $28.12 per hour, depending on experience, location, and employer.

What is a datacard?

Datacard jobs typically refer to positions involving the management, production, or technical support of secure identification cards, such as credit cards, ID cards, or access cards. These roles may include operating Datacard machines (a brand known for card issuance solutions), troubleshooting equipment, handling data input, or ensuring card security. Employees may work in industries like banking, government, or corporate security, where the secure issuance and handling of cards is essential. Responsibilities can range from machine operation to software management and customer support related to card services.

What are the key skills and qualifications needed to thrive as a datacard operator?

To thrive as a Datacard Operator, you need attention to detail, manual dexterity, and an understanding of card production processes, typically supported by a high school diploma or equivalent. Familiarity with Datacard machines, card personalization software, and related security protocols is essential. Strong organizational skills, reliability, and the ability to follow precise instructions make someone stand out in this position. These skills are crucial to ensure accurate, secure, and efficient production of identification or financial cards, maintaining quality and security standards.

What are some common challenges datacard operators face when managing high-volume card personalization projects?

Datacard Operators often encounter challenges such as maintaining accuracy and quality control while processing large batches of cards, especially during peak periods. They must troubleshoot equipment malfunctions quickly to avoid delays, and ensure sensitive data is handled securely in compliance with industry standards. Collaboration with IT and quality assurance teams is essential to resolve technical issues and uphold security protocols. Attention to detail and the ability to work efficiently under pressure are key factors for success in this role.

What is the difference between Datacard vs Data Analyst?

AspectDatacardData Analyst
Required CredentialsTypically high school diploma or equivalent; certifications in data management or related toolsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis tools
Work EnvironmentOffice or data center; primarily administrative and data entry tasksOffice setting; analyzing data, creating reports, and interpreting information
Employer & Industry UsageUsed in financial, healthcare, and government sectors for data managementUsed across industries for data-driven decision making and reporting

While Datacard roles focus on data entry and management, Data Analysts interpret and analyze data to support business decisions. Both roles require familiarity with data tools, but Data Analysts typically have more advanced analytical skills and educational background.

More about Datacard jobs

What job categories do people searching Datacard jobs look for?

The top searched job categories for Datacard jobs are:

Datacard jobs near you
Infographic showing various Datacard job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 69% Physical, 13% Hybrid, and 18% Remote job distribution, with an average salary of $57,721 per year, or $27.8 per hour.

Solutions Architect with Security Clearance

Innodata Inc.

Washington, DC • On-site

$70 - $75/hr

Contractor

Posted 9 days ago

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

166th of 247 rated software companies

Job description

About the Program: Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role:  As the Solution Architect, you'll design the backbone of the platform. You'll define the architecture for the data services storefront and own the DataCard governance framework that keeps our data trustworthy, documented, and compliant end to end. Working closely with the engineering team and the Delivery Owner, you'll translate governance and security requirements in a secure federal (IL4) environment into a clean, defensible technical design. It's a role for an architect who cares as much about data stewardship and governance as about elegant systems. Key Responsibilities: Own cross-pillar architectural integrity and interface coordination across the 24-week program
Design and stand up the DataCard governance framework: schema design, distribution-statement methodology (DoD Dir. 5230.24), provenance lineage
Deploy and configure ZenML multi-cloud orchestration stack per Innodata Layer 2 Multi-Cloud Architecture v3
Design taxonomy engine and sequestration controls architecture
Confirm NIST SP 800-53 Rev 5 control split between Innodata data-layer and AFS infrastructure-layer scope
Lead platform component run books and per-DataCard documentation in Phase E
Coordinate with AI Solutions Engineer on Kubernetes-adjacent data-layer DLP policy configuration
Coordinate with Backend Engineer on Databricks write-back schema and DataCard write-back path Must-Have Qualifications: Bachelor's degree in Computer Science, Data Engineering, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
10+ years total professional experience, 6+ years in data architecture or platform engineering
Databricks, Delta Lake, and MLflow — hands-on implementation experience, not conceptual
Data governance frameworks: DataCards, provenance, lineage, distribution statement controls
ZenML or equivalent ML orchestration tooling (Airflow or Prefect acceptable; must be willing to ramp ZenML quickly)
Working knowledge of IL4/IL5 boundary concepts, NIST SP 800-53 Rev 5, and DoD data classification requirements
Active Secret clearance with TS/SCI eligibility Nice-to-Have Qualifications:  Prior Innodata or annotation platform architecture experience
MLflow model governance and registry hands-on experience
Ontology and taxonomy design for AI/ML training datasets
DoD Directive 5230.24 distribution statement implementation experience The expected hourly salary range for this position is $70 to $75 p/hour, based on experience, skills, and qualifications. Note to Candidates: This role is the primary technical decision-maker on the program below the Delivery Owner. The SA is expected to make architectural calls independently within the established framework and surface only unresolved cross-cutting decisions to the Delivery Owner.

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