Prophecy Technologies

Prophecy Technologies

Azure Data Engineer

Tampa, Florida

Sponsorship not specified$110k-$130kDetected 17 days ago
PythonSQLNoSQLPostgreSQLMongoDBSnowflakeDatabricksAzureCloud PlatformsData Engineering

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odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 33% were for a worker who already held the job.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This role seeks a proficient Azure Data Engineer responsible for designing, building, and maintaining scalable data pipelines and architectures on the Azure cloud platform.
  • The successful candidate will possess hands-on experience with various data engineering tools and technologies, collaborating with data scientists, analysts, and business stakeholders to deliver high-quality, performant data solutions that support data-driven decision-making.

Responsibilities

  • Design, develop, and optimize end-to-end data pipelines and ETL/ELT processes leveraging Azure Data services and frameworks.
  • Build scalable data solutions using Azure Databricks, PySpark, and Snowflake to process both batch and real-time data workloads.
  • Develop and maintain data models and schemas in relational and NoSQL databases such as Postgres and MongoDB.
  • Collaborate with cross-functional teams including data scientists, analysts, and business users to gather requirements and deliver data solutions that meet business needs.
  • Monitor data pipeline performance and implement improvements for reliability, scalability, and optimization.
  • Document data architecture, workflows, and processes to support ongoing maintenance and knowledge sharing.

Skills

  • Azure cloud platform
  • Python
  • Postgres
  • MongoDB
  • PySpark
  • Databricks
  • Snowflake
  • Azure Data services and frameworks
  • ETL/ELT processes
  • Data modeling

Compensation

  • $110k-$130k

This listing is sourced directly from Prophecy Technologies's careers page and normalized into a canonical job model.