Randstad Digital

Randstad Digital

Data Engineer with Ab Initio

Phoenix, Arizona, USA · Mid · Contract

Sponsorship not specified$57k-$70kDetected 79 days ago
PythonBashGitSQLBigQueryGCPCloud PlatformsCI/CDLinuxSparkAirflowData EngineeringAgileCollaboration

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
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

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 68 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

Randstad Digital, LLC obtained a prevailing wage determination for Software Developers in Woburn, MASSACHUSETTS on 2026-06-17. No matching green-card filing appears in our data yet. The determination expires in 7 days (2026-09-14), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file

Third-party placement is common here

99% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 64 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Bank of America · Fidelity · Wells Fargo

Green-card follow-through: 80%

Of 25 labor certifications old enough to have been used, 5 expired without the employer filing the next step. Median time from filing to decision: 454 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

351 transfer filings in the last year, covering 810 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

  • Randstad Digital is hiring and we're looking for someone like YOU to join our team!
  • If you are seeking a new opportunity, looking to grow in your career, or you know someone who is - we want to hear from you!
  • Take a look at the below opportunity, or feel free to visit RandstadUSA.com to view and apply. location: Phoenix, Arizona job type: Contract to Perm salary: $56.71 - 69.53 per hour work hours: 8am to 5pm education: Bachelors

Responsibilities

  • Pipeline Modernization: Lead the translation and migration of complex enterprise data graphs from Ab Initio (Co>Operating System, EME) into modern Google Cloud Platform-native frameworks using Python, SQL, and Cloud Composer (Apache Airflow).
  • BigQuery Architecture: Design and build optimized, highly secure data warehouses and semantic layers within Google BigQuery.
  • Implement strict partitioning, clustering, and slot management strategies to ensure low-latency performance and cost optimization.
  • Framework Development: Build reusable, config-driven ingestion and transformation libraries (using Python and Dataflow/Dataproc) to minimize "one-off" pipelines and accelerate enterprise-wide cloud onboarding.
  • Agile Collaboration: Partner closely with Data Governance, Security, Infrastructure, and downstream Analytics teams in an Agile/Scrum environment to deliver production-ready code via CI/CD pipelines (Git, Cloud Build).
  • Lead the translation and migration of complex enterprise data graphs from Ab Initio (Co>Operating System, EME) into modern Google Cloud Platform-native frameworks using Python, SQL, and Cloud Composer (Apache Airflow).
  • Design and build optimized, highly secure data warehouses and semantic layers within Google BigQuery.
  • Build reusable, config-driven ingestion and transformation libraries (using Python and Dataflow/Dataproc) to minimize "one-off" pipelines and accelerate enterprise-wide cloud onboarding.

Requirements

  • 4+ years of Data Engineering experience or equivalent.
  • 2+ years of direct experience deploying production data workloads on Google Cloud Platform, specifically utilizing BigQuery, Cloud Storage (GCS), and Cloud Composer/Airflow.
  • Advanced expertise in writing and tuning highly complex SQL queries and designing robust data models (Dimensional, Data Vault, or Star Schemas).

Compensation

  • $57k-$70k

Benefits

  • $56.71 - 69.53 per hour work hours: 8am to 5pm education:
  • job type: Contract to Perm salary: $56.71 - 69.53 per hour work hours: 8am to 5pm education: Bachelors

Company info

  • job summary: Randstad Digital is hiring and we're looking for someone like YOU to join our team!
  • At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants.

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.
  • If you require a reasonable accommodation to make your application or interview experience a great one, please contact Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc.
  • In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
  • This posting is open for thirty (30) days.

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