NTT DATA Americas, Inc.

NTT DATA Americas, Inc.

Software Development Senior Specialist

King of Prussia, Pennsylvania · Senior

Sponsorship not specified$100k-$125kDetected 89 days ago
PythonCode ReviewSQLSnowflakedbtData EngineeringAccessibilityMentoring

Stay score

odds of building a lasting career here

53Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$69,9501 entry
Level II$87,5892 entries
Level III$105,2063 entries
Level IV$122,8454 entries

$5,206 more — $105,206 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $105,206 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Quality Assurance Analysts and Testers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Quality Assurance Analysts and Testers (15-1253) · Philadelphia-Camden-Wilmington, PA-NJ-DE-MD. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

22% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 36 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: NATIONAL LIFE GROUP · Wells Fargo · Fidelity Investments

Green-card follow-through: 64%

Of 25 labor certifications old enough to have been used, 9 expired without the employer filing the next step. Median time from filing to decision: 498 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

31 transfer filings in the last year, covering 31 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.

Community outcomes

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About the role

  • The DBT SME serves as the senior engg for data transformation within a modern data stack built on dbt, Snowflake.
  • This role is responsible for implementing dbt transformation models, enforcing modeling best practices, and ensuring that dbt, and traditional data modeling disciplines work together cohesively in a production environment.
  • The ideal candidate brings hands-on dbt expertise, deep Snowflake knowledge, strong Python skills, and the ability to translate conventional data warehouse patterns into maintainable, scalable dbt solutions.

Responsibilities

  • Design and develop dbt transformation models targeting Snowflake, applying model layering (staging, intermediate, mart), incremental strategies, snapshot patterns, and dbt macros.
  • Translate traditional data warehouse designs - including dimensional models, ERDs, and legacy SQL transformation logic - into dbt-native patterns.
  • Develop and maintain dbt tests (generic and singular), custom Python-based data quality checks, and documentation to ensure transformation correctness and pipeline observability.
  • Perform peer code reviews, provide technical mentorship to engineers, and drive adoption of dbt best practices and modeling standards across the team.
  • Troubleshoot data discrepancies, pipeline failures, and Snowflake query performance issues, and implement preventive measures.
  • Maintain technical documentation, transformation runbooks, and handover materials.

Requirements

  • 5+ years of DBT Core experience - model layering, macros, Jinja templating, incremental materializations, snapshots, and dbt tests.
  • 3+ years of hands-on Snowflake experience as a dbt target, including SQL dialect proficiency, query optimization, clustering, and RBAC.
  • 3+ years of Python experience applied to data engineering, including pipeline scripting, automation, and data quality tooling.
  • 5+ years of SQL experience - complex joins, window functions, CTEs, and aggregations across large datasets.
  • Where required by law, NTT DATA provides a reasonable range of compensation for specific roles.

Compensation

  • $100k-$125k

Company info

  • If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
  • We are currently seeking a DBT Data Engineer (hybrid) to join our team in King of Prussia, Pennsylvania (US-PA), United States (US).
  • We are currently seeking a DBT Data Engineer to join our team in King of Prussia, PA (hybrid).
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This listing is sourced directly from NTT DATA Americas, Inc.'s careers page and normalized into a canonical job model.