Informatica Consultant - Remote
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
MSys Inc. seeks an Informatica IICS data engineer to develop and administer data integration modules using Informatica Cloud services. The senior role provides technical leadership and mentorship to junior team members and supports end-to-end IICS projects. The work includes building and optimizing integrations, managing platform administration, and delivering data solutions with cross-functional teams. The posting specifies a remote role and restricts eligibility to USC/GC.
Skills & qualifications
Skills
Qualifications
Full job description
**** Webcam interview; *** Long term project Linkedin Must Remote **** Due to security reasons only USC/GC ****
Job Purpose
Responsible for end-to-end development and administration & management of data integration modules using Informatica Cloud services.
Job Description / Duties and Responsibilities
The job duties and requirements are defined for the role of Informatica IICS data engineer. The senior role provides technical leadership and mentorship to junior team members. The candidate should have relevant experience working in at least 2 to 4 end to end project involving IICS. This position ensures the performance of all duties in accordance with the company's policies and procedures, all U.S. state and federal laws and regulations, wherein the company operates.
Job Specification / Skills and Competencies
Experience Requirements:
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Minimum 5+ years' experience with Informatica Data Management Cloud (IDMC), particularly with Cloud Data Integration (CDI), Cloud Application Integration (CAI), Cloud Mass Ingestion (CMI) and Cloud Integration Hub (CIH), Data Quality, API Management
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2+ years hands-on experience with CAI - Processes, Service Connectors, Process Objects – developing business process automation
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Must have working knowledge in handling various source/target systems including API's
Technical Skills and Responsibilities:
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Create and test complex mapping tasks and task flows, debug issues and implement performance optimization techniques
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Collaborate with cross-functional teams, including business analysts, architects, and data engineers, to deliver integrated data solutions
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Perform administrator activities like user account management, setting up permissions, creating connections, metering, license upgrades, product upgrades
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Strong understanding of data integration, ETL processes, data warehousing, and cloud technologies
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Establish and enforce data quality standards and data validation processes
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Conduct testing and quality assurance of data integration solutions to identify and resolve issues
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Practical experience in both OnPrem and Cloud databases (SQL,NoSQL etc), and Streaming platforms like Kafka is desirable
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Fundamental understanding of Cloud ecosystems like AWS, Azure, or GCP
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To adhere to ISMS policies and procedures
Mandatory Skills:
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Informatica IICS and Administration
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Any RDBMS
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Azure/AWS
Primary Skills:
- Informatica IICS (CAI,CDI) and Administration
Good to have Skills:
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Python
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ADF
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Redshift/Snowflake
Qualification
- Bachelor's Degree
Experience Summary
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Total Experience: 8+ years
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Relevant Experience: 5+ years
How this job compares
Set against the 6,268 open Data Engineer jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This postingNot listed
- US median$122–208K/yr4,899 salary ranges
- US median$60–73/hr271 hourly ranges
- Openings
- Olive Jobs lists 6,268 open Data Engineer jobs across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,485 postings).
- Education
- This posting asks for a bachelor's degree; 2,402 of the 6,268 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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