Pyramid Consulting Inc.
Data Engineer (AI & LLM Expertise)
Plano, Texas
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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
The bottom of this range ($55) is below the Level I prevailing wage of $95,202. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Dallas-Fort Worth-Arlington, TX. 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
Green-card filing pattern in this occupation
Third-party placement is common here
Green-card follow-through: 86%
Files H-1B transfers
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
No reports yet — be the first to help the next applicant.
About the role
- Immediate need for a talented Data Engineer (AI & LLM Expertise).
- This is a 06-12+months contract opportunity with long-term potential and is located in Plano, TX / San Antonio, TX(Onsite).
- Please review the job description below and contact me ASAP if you are interested.
Responsibilities
- Maintain and enhance dbt models across staging (DL2) and mart (DL3) layers.
- Support Control-M scheduling changes and DBT deployments.
- Write and maintain SQL models following SQLFluff lint standards (ruff, mypy for Python).
- Manage source freshness and data quality test failures.
- Develop and maintain robust Python code for ETL processes, with an understanding of how data is processed by LLMs.
- Document AI/ML data pipelines, including explanations of tokenization strategies and data transformations relevant to LLM processing.
Requirements
- Familiarity with prompt engineering principles for interacting with LLMs.
- US military Background is required.
- Experience with vector databases and embedding pipelines.
- Familiarity with MLOps principles and tools.
Skills
- SQL (Client dialect), dbt Core/Cloud basics.
- Basic Python (scripting, pytest), with a strong understanding of its application in data pipelines and AI/ML.
- Git / GitLab branching and MR workflows.
- Familiarity with Terraform (reading/editing.tfvars).
- Understanding of incremental models, source freshness, and dbt state: selectors.
- Control-M scheduling concepts.
- Client warehousing (sizing, multi-clustering).
- dbt Cloud CLI, Poetry.
- Github Copilot, Claude Code
- Foundational understanding of how LLMs work, including concepts like tokenization, embeddings, and context windows.
- Practical experience or strong theoretical knowledge of applying AI/LLMs to data processing tasks.
- Ability to understand and work with unstructured and semi-structured data for AI applications.
Compensation
- $0k-$0k
Benefits
- Strong analytical and problem-solving skills, with a proactive approach to learning new AI technologies.
- Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Company info
- Our client is a leading Banking and Financial Industry, and we are currently interviewing to fill this and other similar contract positions.
This listing is sourced directly from Pyramid Consulting Inc.'s careers page and normalized into a canonical job model.