Harvey Nash
Lead Data Engineer (DataOps)
New Jersey · Senior
No sponsorship$140k-$160kDetected 45 days ago
PythonGitSQLDatabricksAWSGCPAzureCI/CDGitHub ActionsDevOpsPlatform EngineeringKafkaMachine LearningAirflowdbtData EngineeringTest AutomationLeadershipCommunication
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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.
Personalize to your clock →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 14 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card intent detected
Harvey Nash Inc. obtained a prevailing wage determination for Software Quality Assurance Analysts and Testers in Frankfort, KENTUCKY on 2026-06-09. No matching green-card filing appears in our data yet. The determination expires in 1 day (2026-09-06), 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
54% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 11 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: CATERPILLAR, INC · Commonwealth of Kentucky · State of Tennessee
Green-card follow-through: 71%
Of 7 labor certifications old enough to have been used, 2 expired without the employer filing the next step. Median time from filing to decision: 497 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
11 transfer filings in the last year, covering 11 workers. Median labor-condition decision: 8 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
- This range may be adjusted based on market conditions, location, and other relevant factors.
- The Company will determine the final starting salary/Pay rate in consultation with the selected candidate(s), in full compliance with applicable laws
Responsibilities
- Define and evolve the DataOps operating model, including how data pipelines and platforms are designed, deployed, supported and scaled across teams.
- Lead the design and implementation of DataOps frameworks, standards, and best practices across the organization.
- Partner with Data Architecture, Analytics, AI/ML, and Platform teams to operationalize data products end-to-end.
- Drive adoption of automation, orchestration, and observability capabilities for data pipelines.
- Implement and manage CI/CD for data, including automated testing, deployments, and rollback strategies.
- Monitor and optimize cloud consumption and platform costs for data workloads.
- Drive performance tuning and capacity planning for data platforms.
- Lead, mentor, and grow high-performing DataOps and data engineering team members.
- Demonstrated ability to provide technical leadership through design reviews,
- 3+ years in a lead or senior engineering role managing data platforms or operations.
Requirements
- Proven history of leading others to complete complex deliverables.
- 8+ years of experience in data engineering, analytics engineering, or platform engineering.
- Strong experience with cloud data platforms (Azure, AWS, or GCP).
- Experience with Databricks, or modern Lakehouse architectures.
- Hands-on expertise with:
- College degree in Computer Science, Management Information systems or related
- Familiarity with streaming platforms (Event Hubs, Kafka, Kinesis).
- Knowledge of FinOps practices for cloud cost management.
Compensation
- $140k-$160k
Benefits
- Own, report and provide transparency into platform health, costs, and operational metrics.
- Experience supporting machine learning or AI workloads in production.
Visa & Work Authorization
- US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply
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This listing is sourced directly from Harvey Nash's careers page and normalized into a canonical job model.