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Informatica Cloud Data Engineer

Job in Cypress, Orange County, California, 90630, USA
Listing for: Avenue 45
Full Time, Part Time position
Listed on 2025-11-06
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 135000 USD Yearly USD 125000.00 135000.00 YEAR
Job Description & How to Apply Below

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This range is provided by Avenue 45. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

Additional compensation types

Annual Bonus

Direct message the job poster from Avenue 45

Our direct client is seeking an Informatica Cloud Data Engineer for a full-time, direct-hire position.

This role follows a hybrid schedule, requiring 3 days per week onsite at the Cypress, CA (90630) office

  • Full Time Direct Hire
  • 3 days week Hybrid in the Office
  • Location:
    Cypress, CA 90630
  • Salary $125k - $135k
  • Plus up to 10% annual bonus.
  • Merit increase eligibility, 401K matching, and a comprehensive benefits package.

Local candidates Only, No relocation. Onsite Interview is required.

U.S. Citizens and those authorized to work in the U.S. without sponsorship are encouraged to apply.

The Data Engineer II will be an integral member of the IT Data Integration team and will be expected to clean, prepare, and optimize data for consumption. The Data Engineer II will work with the team to create high end data and analytics driven ETL solutions leveraging IDMC
, Amazon Web Services (AWS), Big Data tools and technologies. The Data Engineer II will collect and curate data from disparate sources to perform data interrogation, develop analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics.

Should have experience with

  • Proven ability in ETL/ELT workflows and SQL development.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP).
  • Familiarity with real-time data streaming tools (e.g., Kafka, Spark) a plus.
  • Strong background in building and maintaining data pipelines that enable reporting/analytics.
  • Solid problem-solving, communication, and collaboration skills for working across teams.

The Data Engineer II will communicate with stakeholders and conduct research to develop a comprehensive understanding of relevant business needs and requirements. The role will identify and collect structured and unstructured data from various sources, evaluate the data to ensure that they meet analytic needs, and prepare the data for analysis. The role will require business and technical requirements gathering and documentation (BRD, PRD) experience, as well as data workflow design and presentations.

Qualifications:

  • Bachelor’s degree in computer science, Data Science, Mathematics, or equivalent work experience in a related field required.
  • 4+ years of relevant experience in design, execution, and the use of a wide array of data analysis techniques and tools in designing solutions required.
  • Advanced experience in Informatica Data Management Cloud (IDMC) required.
  • Experience with programming languages such as Python, R, etc. required.
  • Experience with relational SQL and No

    SQL databases required.
  • Experience with AWS GLUE ETL and AWS Analytics Services:
    Lambda, Step Functions, EMR, Athena preferred.
  • Must be self-motivated and able to work independently, with minimal supervision and as part of a team.
  • Detail oriented with excellent interpersonal communication skills (verbal and written), with the ability to interact with all levels of an organization.
  • Excellent analytical skills: expertise in statistical and data science principles and methods.
  • Advanced experience in data quality, data wrangling, cleansing, and standardization required.
  • Experience implementing and working with on-premise and cloud infrastructure required.
  • Strong project management and organizational skills. Experience using a version control system is a plus (Git Hub, Subversion, Azure Dev Ops).
  • Proven history of delivering analytic solutions to solve complex problems using a data-driven approach and technical innovation. Demonstrated success in interpreting analytic output and providing strategic recommendations.

Responsibilities:

Technical Design - Able to identify, analyze, specify, design, and translate functional design to technical design. Create and document technical designs for medium to high complexity solutions that may include integration with external systems.

  • Create and document technical designs for medium to…
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