Data Engineer/Big Data Engineer

Data Engineer/Big Data Engineer
Full Time
$90k - 100k per year

Job Description

job summary:

The Data Engineer designs, builds, and oversees the deployment and operation of technology architecture, solutions, and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources. Essentially providing actionable and contextual information to operational staff and leadership to make data-driven decisions. Efficiently gather report requirements and makes specification recommendations while understanding how the analytical insight will impact the business.


 

location: SAN DIEGO, California

job type: Permanent

salary: $90,000 - 100,000 per year

work hours: 8am to 4pm

education: Bachelors

 

responsibilities:


  • Collaborate with technology and business teams to improve data models that feed business


    intelligence tools, increasing data accessibility, and fostering data-driven decision making across the


    organization.

  • Design and develop solutions to support ingestion, provisioning, and visualization of complex


    enterprise data to achieve analytics, reporting, and data science goals.

  • Create and establish design standards and assurance processes for software, systems, and


    applications development to ensure compatibility and operability of data connections, flows, and


    storage requirements.

  • Review internal and external business and product requirements for data operations and activity and suggest changes and upgrades to systems and storage to accommodate ongoing needs.
  • Implement processes and systems to monitor data quality, ensuring production data is accurate and


    available for key stakeholders and business processes that depend on it.

  • Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
  • Work closely with a team of frontend and backend engineers, product managers, and analysts.
  • Design logically sound Azure data architectures which are scalable and repeatable.
  • Develop technical tools and programming that leverage artificial intelligence, machine learning, and


    big-data techniques to cleanse, organize, and transform data and to maintain, defend and update data structures and integrity on an automated basis.

  • Work closely with software engineers and follow best practices for data management consumption.
  • Create comprehensive documentation for team members and end users on available data and


    systems.

  • Provide on-boarding to team members for new technologies related to available data sets.
  • Perform other position-related duties as assigned.



 

qualifications:


  • Experience level: Experienced
  • Minimum 5 years of experience
  • Education: Bachelors (required)
 

skills:
  • ELT
  • SQL
  • ETL
  • SSIS
  • BIGDATA
  • Agile Methodology
  • Recovery



For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.



Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.



Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.



We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

Dice Id : cxsapwma1
Position Id : 876307
Originally Posted : 3 months ago
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