Required Skills

Data Engineer

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 28th Jan 2026

JOB DETAIL

    Transforming large, complex data into business assets that serve the Data and Analytics team and analysts throughout the organization.
    Translating actionable business needs into programmatic solutions using geospatial analytical methods.
    Partner closely with IT to develop scalable and repeatable processes to ingest new data sources and engineer and leverage “base” data tables.
    Establish a culture of collaboration and excellence within the team – and across the organization. 
    Explore and recommend innovative solutions to complex problems.
    Ensure our data assets meet our data quality standards.
    Have fun in a fast-paced, energetic environment.

Qualifications
    3+ years of relevant employment experience
    Strong knowledge of SQL, Google Big Query, Python, and Airflow for workflow management.
    Experience with automating geoprocessing of large datasets at scale, ideally using GCP, PostgreSQL, or Python.
    Experience with dbt or Google Dataform is a plus.
    Experience working in cross-functional teams and driving projects to successful completion.
    Hands-on approach to learning the Altice USA business to quickly and thoughtfully augment the strategic value of a unified analytics function.
    Excellent communication and interpersonal skills to collaborate effectively with stakeholders at all levels.
    Strong understanding of database architecture, specifically as it relates to geospatial data.
    A sincere desire to automate anything that needs to be done more than once.
    Experience building modular solutions and reusable code.
    A strong base in business analytics using a combination of geospatial and non-geospatial databases.

Company Information