Quantiphi

Quantiphi

Data Engineer - Senior - USA

USA - Remote · Senior · Full-time

Sponsorship not specifiedDetected 5 days ago
PythonSQLSnowflakeRedshiftAWSGCPCloud PlatformsMachine LearningData EngineeringAI OrchestrationProject ManagementAgileJiraExcelEHR/EMR

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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

  • While technology is the heart of our business, a global and diverse culture is the heart of our success.
  • We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
  • If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Responsibilities

  • Design, build, and maintain cloud-native data pipelines and datalake architectures (Snowflake) to support ABF investment and portfolio analytics
  • Develop and manage scalable ETL/ELT workflows to ingest, transform, and curate data from structured and unstructured sources
  • Support analytics and reporting use cases, including data reconciliation, validation, and financial data integrity checks
  • Support the migration from legacy systems to a modern data platform, including data mapping, transformation logic, and architecture alignment
  • Proven track record building enterprise data models and warehouse architectures within financial services, investment management, or ABF/portfolio analytics domain contexts.
  • Data Pipelines & Languages: Expert-level mastery of Python and advanced SQL for complex data transformation and ELT design.
  • 21x Google Cloud Partner of the Year awards in the last 8 years.
  • 3x NVIDIA Partner of the Year titles.
  • 2x Snowflake Partner of the Year awards.

Requirements

  • Skills Required:
  • Data Warehousing: Advanced proficiency in Snowflake (SQL performance tuning, architecture, security, and schema design).

Skills

  • 8+ years of progressive experience in data engineering, data platform development, or enterprise analytics.
  • Exposure to working with fortune 500 companies and innovative market disruptors
  • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

Company info

  • Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.
  • Be part of the fastest-growing AI-first digital transformation and engineering company in the world
  • Be a part of an energetic team of highly dynamic and talented individuals

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