Data Engineer

Role:

Junior Data Engineer Location:

Frisco, TX

• (5 days onsite)

REQUIRED QUALIFICATIONS

Bachelor''s degree in Computer Science, Software Engineering, Information Management, or equivalent experience in field

• plus 2+ years of related work experience.

Must be located in the United States. 2+ years of hands-on data engineering experience delivering production data pipelines in enterprise environments. Strong proficiency in SQL and Python, including PySpark and Spark SQL for distributed data transformation. Hands-on experience with Databricks including Delta Lake, Unity Catalog, and workflow orchestration. Hands-on experience with Snowflake at production scale. Working experience with Microsoft Fabric including OneLake; familiarity with Fabric IQ semantic layer concepts. Working experience building data visualizations and reports in Power BI. Experience implementing data ingestion pipelines using batch, CDC, API, or streaming patterns within a unified ingestion framework. Solid data modeling skills, including dimensional modeling and lakehouse modeling patterns at the physical implementation level. Experience implementing pipeline testing

• unit tests, integration tests, data quality checks, and reconciliation. Experience with DevOps practices for data pipelines
• Git, CI/CD, and automated testing.

Good communication skills, with the ability to convey technical progress and ask clarifying questions of both technical leads and business stakeholders. Strong problem-solving skills and the ability to execute independently on well-defined technical work in a fast-paced, agile environment.

PREFERRED QUALIFICATIONS

Experience with Iceberg tables or other modern open table formats. Experience with HR data domains

• talent acquisition, workforce analytics, compensation, learning, performance, or people analytics.

Familiarity with Workday, ServiceNow HR, or comparable HR systems of record as authoritative sources for analytics. Exposure to real-time streaming technologies including Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming. Exposure to AI/ML pipelines or building data products that support ML workloads. Familiarity with legacy data platforms such as Teradata, Oracle, or SQL Server. Azure certifications or demonstrated experience with Azure-native data platform services. Familiarity with T-Mobile''s Omni lakehouse platform, MagentaBuilt integrations, or enterprise IT architecture standards. Familiarity with data privacy and regulatory compliance for HR data (GDPR, CCPA, employee data protection). Mandatory Areas Must Have Skills

• Skill 1
• Yrs of Exp
• Data Engineering Skill 2
• Yrs of Exp
• Data Bricks Skill 3
• Yrs of Exp
• Python Junior candidate from below company Google, Meta, Amazon, Apple, Netflix, Microsoft, Nvidia, Salesforce, Oracle, IBM, Intel, Cisco, Adobe, Palantir, Snowflake Databricks, Twitter / X LinkedIn, Uber, Airbnb Please ensure that candidates have graduated from the following colleges only with GPA above 3.

5 MIT Stanford University Carnegie Mellon University UC Berkeley Caltech Georgia Tech University of Michigan

• Ann Arbor Cornell University University of Illinois Urbana-Champaign Purdue University University of Texas at Austin University of Washington University of Wisconsin
• Madison Ohio State University Penn State University University of Maryland
• College Park Virginia Tech NC State University University of Minnesota
• Twin Cities Arizona State University University of Southern California Northeastern University Rensselaer Polytechnic Institute (RPI) Drexel University Worcester Polytechnic Institute (WPI)