Kforce Inc

Kforce Inc

Big Data Engineer

Parsippany-Troy Hills, New Jersey

Sponsorship not specified$104k-$156kDetected 91 days ago
PythonGitSQLDatabricksAzureCI/CDMachine LearningSparkData EngineeringData VisualizationSAPProcess Improvement

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
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 121 green-card filings in this occupation, 97% were for a worker who already held the job.

Third-party placement is common here

96% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 140 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: FIDELITY INVESTMENTS INSTITUTIONAL SERVICES · HP INC · THE HOME DEPOT USA, INC.

Green-card follow-through: 65%

Of 49 labor certifications old enough to have been used, 17 expired without the employer filing the next step. Median time from filing to decision: 453 days.97% 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

603 transfer filings in the last year, covering 1206 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

  • Kforce has a client that is seeking a Big Data Engineer in Parsippany, NJ.
  • A key focus is maintaining high data quality, security, governance, monitoring, and reliability through testing, observability, lineage tracking, and access controls.

Responsibilities

  • Summary: This role is responsible for designing and building enterprise-scale data pipelines that ingest information from business systems, operational technology environments, and industrial data sources into a unified analytics platform.
  • The position develops and optimizes data models, semantic layers, and curated datasets that support reporting, APIs, AI, and advanced analytics.
  • The role also drives CI/CD automation, performance optimization, and cloud cost management to ensure scalable and efficient data platform operations.

Requirements

  • Experience implementing tests/observability (freshness, schema, expectations), and Git-based CI/CD
  • Familiarity with SAP S/4HANA structures and SAP DataSphere semantic modeling
  • comfort with Spark Structured Streaming and performance tuning

Nice to have

  • Time-series/data-quality tooling (e.g., Great Expectations or equivalent patterns), feature/metric stores
  • MDM concepts (keys, survivorship), lineage/catalog tooling
  • TMS/WMS, LIMS, Historian, HSE domain exposure
  • Lean/Six Sigma mindset
  • FinOps awareness
  • We may ultimately pay more or less than this range.
  • This range may be modified in the future.
  • Note: Pay is not considered compensation until it is earned, vested and determinable.

Compensation

  • $104k-$156k
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This listing is sourced directly from Kforce Inc's careers page and normalized into a canonical job model.