Trace3
W2PE - Engineer
Irvine, CA, United States · Mid
Sponsorship not specified$120k-$150kDetected 2 days ago
PythonSQLDatabricksAzureData EngineeringData VisualizationLeadershipCommunicationCollaborationMentoring
Stay score
odds of building a lasting career here
54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
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
Files H-1B transfers
1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 914 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 is a delivery-focused engineering role with an explicit expectation of transferring architecture, code, and operating knowledge to the current data-engineering team as the program matures.
- Fabric Pipeline & Metadata-Driven Engineering
- Standardize ingestion patterns using parameterized notebooks to minimize duplicate logic and simplify ongoing maintenance.
Responsibilities
- We continuously innovate and drive constructive change while keeping a focus on the "big picture." We exercise sound business judgment in making high-quality decisions in a timely and cost-effective manner.
- We recognize that embracing diversity drives innovation, improves outcomes, fosters collaboration, boosts teammate satisfaction, and builds a more inclusive culture.
Requirements
- Strong proficiency in Python, including experience building notebook-based data-processing pipelines (PySpark or equivalent) for parallel/distributed processing.
Nice to have
- It's a Plus If You Have:
Skills
- Hands-on experience with Microsoft Fabric and/or Databricks, including notebooks, Lakehouse/Warehouse objects, and pipeline orchestration.
- Working knowledge of SQL and relational data warehousing concepts.
- Experience with cloud-based analytics platforms (Azure preferred).
- Experience migrating pipelines from Azure Data Factory or similar legacy ETL platforms into Fabric-native services.
- Familiarity with Power BI semantic models and downstream reporting consumption patterns.
- Microsoft Fabric certifications (e.g., DP-600, DP-700) or equivalent Databricks certifications.
- Experience operating in a consulting or client-delivery environment.
- Comprehensive medical, dental and vision plans for you and your dependents
- 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability
Compensation
- Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base salary.
Benefits
- Work-life balance and generous paid time off
Company info
- Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business.
- Street-Smart - Thriving in Dynamic Times We are flexible and resilient in a fast-changing environment.
- We are highly creative and can dig deep within ourselves to find positive solutions to different problems.
- We are a diverse group of talented individuals who understand the importance of teamwork and demonstrating leadership, character, and passion in all that we do.
- We are committed to providing equal employment opportunities for all.
Equal opportunity
- As an equal opportunity employer, Trace3 bases all employment decisions based on individual qualifications, merit, and business requirements.
- If you require a reasonable accommodation to complete the
This listing is sourced directly from Trace3's careers page and normalized into a canonical job model.