Jr. Data Engineer

Sumeru INC
Frisco, United States of America
10 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 127K

Job location

Frisco, United States of America

Tech stack

Artificial Intelligence
Azure
Code Review
Continuous Integration
Information Engineering
ETL
Data Mapping
Distributed Data Store
Hive
HR Analytics
Python
Power BI
Cloud Services
Software Engineering
SQL Databases
Tableau
Data Processing
Snowflake
Spark
GIT
HR Software
Microsoft Fabric
Data Lake
PySpark
Kafka
Spark Streaming
Machine Learning Operations
Video Streaming
Workday
ServiceNow
Databricks

Requirements

1+ years of hands-on data engineering or software engineering experience, including internships and academic project work that demonstrate production-quality engineering habits.

  • Working proficiency in SQL and Python.
  • Exposure to Spark (PySpark or Spark SQL) for distributed data transformation, or strong willingness and demonstrated ability to learn it quickly.
  • Exposure to cloud data platforms Databricks, Snowflake, or comparable with a willingness to develop hands-on depth.
  • Familiarity with at least one BI tool (Power BI preferred, Tableau or similar acceptable). Understanding of fundamental data engineering concepts data modeling, ETL/ELT, data quality, source-to-target mapping.
  • Familiarity with Git, code review practices, and basic CI/CD concepts. Good communication skills able to ask clarifying questions, communicate progress clearly, and learn from feedback.
  • Strong problem-solving instincts, curiosity, and the discipline to deliver well-defined work to a high standard.
  • Eagerness to learn the full vertical from ingestion through visualization, and to take on broader ownership over time., * Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale.
  • Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake, or Power BI.
  • Exposure to Iceberg tables or other modern open table formats. Exposure to HR data domains talent acquisition, workforce analytics, compensation, learning, performance, or people analytics.
  • Familiarity with Workday, ServiceNow HR, or comparable HR systems of record.

Exposure to streaming technologies (Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming). * Exposure to AI/ML pipelines or building data products that support ML workloads. Azure certifications (Azure Fundamentals, Data Engineer Associate) or working toward them. Familiarity with T-Mobile's Omni lakehouse platform, MagentaBuilt integrations, or enterprise IT architecture standards. * Familiarity with data privacy concepts (GDPR, CCPA) and HR data handling considerations.

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