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How much do mca engineering jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for mca engineering in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is MCA Engineering?

MCA Engineering typically refers to the application of engineering principles and practices by professionals who have completed a Master of Computer Applications (MCA) degree. These professionals work in areas like software development, system design, IT infrastructure, and technology management, bridging the gap between technical engineering and computer applications. The role can involve designing software solutions, managing IT projects, ensuring system security, and optimizing computer systems for organizations. MCA Engineers are in demand in fields such as software engineering, data analytics, and information technology services.

What are the key skills and qualifications needed to thrive as an MCA engineer?

To thrive as an MCA Engineer, you need strong programming skills, database management expertise, and a postgraduate degree in computer applications or a related field. Familiarity with technologies such as Java, Python, SQL, cloud platforms, and version control systems like Git is typically required. Analytical thinking, teamwork, and effective communication are crucial soft skills that help you excel in collaborative and problem-solving environments. These competencies ensure the delivery of robust software solutions and enable seamless integration within dynamic technology teams.

What are some common challenges faced by engineers in an MCA engineering role, and how can they be addressed?

Engineers in an MCA (Master of Computer Applications) Engineering role often encounter challenges such as keeping up with rapidly evolving technologies, managing cross-functional project requirements, and integrating legacy systems with modern solutions. To address these, it's important to stay current through continuous learning, collaborate actively with both technical and non-technical team members, and develop strong problem-solving skills. Adopting agile methodologies and participating in professional networks can also help in effectively navigating these challenges.

What is the difference between Mca Engineering vs Computer Engineering?

AspectMca EngineeringComputer Engineering
Required CredentialsBachelor's in Computer Applications (BCA) or equivalent, often with a master's (MCA)Bachelor's in Computer Engineering or Computer Science, often with a master's or PhD
Work EnvironmentIT companies, software firms, tech startups, government agenciesTech companies, hardware firms, research labs, academia
Industry UsagePrimarily in software development, IT services, and application programmingHardware integration, system design, embedded systems, software development

While both Mca Engineering and Computer Engineering involve working with computers and software, Mca Engineering focuses more on software applications, programming, and IT services, often requiring a master's degree in computer applications. Computer Engineering combines hardware and software skills, emphasizing system design and hardware-software integration. The choice depends on your interest in software applications versus hardware-software systems.

Mca Engineering jobs near you
Infographic showing various Mca Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Sr. Marketing Tech Engineer

The Knot Worldwide

New York, NY • Hybrid

Full-time

Re-posted 11 days ago

Job description

ABOUT THE ROLE AND OUR TEAM: 

We are looking for a Sr. Marketing Tech Engineer to join our Marketing Technology organization, supporting our Martech, CRM, and Data Cloud initiatives.

This role is ideal for someone who thrives at the intersection of data engineering, marketing technology, and platform enablement, and enjoys solving complex technical problems that directly impact vendor experience, revenue growth, and marketing operations.

As part of a high-performing, cross-functional team, you will work closely with our Principal Architect, Martech Operations, Data Engineering, and Enterprise Engineering to build and maintain the technical backbone behind The Knot Worldwide's marketing platforms-including Marketing Cloud Advanced (MCA), Salesforce Data Cloud, Snowflake, UTM attribution, behavioral data ingestion, and vendor product insights and lifecycle data.

You play a key role in transforming our vendor marketing and lead lifecycle experience by ensuring the right data flows into the right systems, with the reliability and scale required to support millions of users.

This is a hands-on engineering role, not an admin or operational configuration role. You will design, build, troubleshoot, and optimize marketing and CRM data systems used across all lines of business.


RESPONSIBILITIES:
 
Data Engineering & Platform Development
  • Support and manage data pipelines feeding Snowflake, Data Cloud, MCA, and CRM systems
  • Collaborate with Data Engineering on integrations for vendor behavior data, customer product insights data, vendor programs, UTM parameters, and prospect scoring inputs - with direction from the Principal Marketing Architect
  • Implement transformations required for Data Cloud ingestion (DMO/DLO mappings, identity stitching, behavioral tables) with support of Data Engineering

Marketing Cloud Advanced (MCA) Engineering

  • Support MCA data activations (in Data Cloud), entry criteria, segmentation inputs, and schema alignment
  • Work with external implementation partners, marketing firms, & internal teams to configure MCA objects, fields, mappings, and activation flows
  • Troubleshoot MCA CRM sync, consent flows, reporting gaps, and data discrepancies
Data Cloud Enablement
  • Build and maintain Data Cloud datasets, calculated attributes, data bundles, and ingestion rules
  • Monitor data consumption and trend analysis
  • Ensure data quality, completeness, and refresh reliability for vendor-facing systems
  • Support the Principal Architect in standing up new data sources or schema extensions
Vendor Data Enablement
  • Build and maintain vendor data tables and logic feeding into insights for Sales, RevOps, and Marketing
  • Support ingestion of awards data, web behavioral data, vendor lifecycle signals, and customer performance metrics
  • Ensure data integrity for insights powering vendor communications and revenue enablement

Cross-Functional Collaboration
  • Manage the Enterprise Marketing Technology roadmap and backlog
  • Partner with Martech Ops, Marketing, Sales, Data Science, Enterprise Engineering, and Product teams
  • Participate in technical discovery, solution design, and requirements gathering
  • Provide engineering support for Salesforce integrations (MCA, Pardot/MCAE, CRM)

Reliability, QA & Documentation

  • Troubleshoot data failures, ingestion errors, identity mismatches, and field mapping issues
  • Write documentation, SOPs, and runbooks for data flows and platform components
  • Monitor performance, ensure SLA adherence for data refresh and pipeline uptime
  • Support sandbox production deployment cycles, QA validation, and release workflows
SUCCESSFUL CANDIDATES HAVE:
 
Required
  • 4-6+ years of data engineering, marketing technology engineering, or CRM platform engineering
  • Strong SQL experience across Snowflake, Redshift, or similar cloud data warehouses
  • Experience building data pipelines (Airflow, Fivetran, custom ingestion jobs, APIs, etc.)
  • Experience with Salesforce ecosystem integrations: MCA, MC, Pardot, Data Cloud, or CRM
  • Strong understanding of marketing data models, lead routing, segmentation, or attribution
  • Ability to work across multiple systems with complex dependencies
  • Excellent communication skills and ability to work with technical & non-technical partners
  • Experience with API development, REST integrations, or ETL/ELT frameworks

Preferred

  • Experience with Salesforce Data Cloud (DLO/DMO, identity resolution, ingestion rules)
  • Experience with Marketing Cloud Advanced (MCAE/MCA)
  • Experience with UTM attribution pipelines or web/app behavioral event ingestion
  • Experience working with scoring engines or marketing analytics datasets
  • Experience with Sercante or Salesforce SI partners
  • Familiarity with Snowflake tasks, streams, or DBT
  • Experience supporting CRM/MarTech platforms in enterprise environments

WORK MODEL:

This role is Together@TKWW-eligible and based near one of our office hubs. You'll be expected to work in the office two days a week as part of our hybrid work model.

#LI-Hybrid  #professional-track

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