Jr. Data Engineer

Sumeru INC

Frisco, TX, United States

3 months ago

Role details

Contract type

Internship / Graduate position

Employment type

Full-time (> 32 hours)

Experience level

Starter

Experience required

1 year minimum

Compensation

$95,540.0 - $127,380.0

Working hours

Regular working hours

Job source

careerjet.com

Tech stack

Artificial Intelligence Microsoft Azure Code Review Continuous Integration Information Engineering Extract Transform Load (ETL) Data Mapping Distributed Data Store Apache Hive HR Analytics Python (Programming Language) Power BI

+19 more

Cloud Services Software Engineering SQL Databases Tableau (Software) Data Processing Snowflake Apache Spark Git HR Software Microsoft Fabric Data Lakes Pyspark Apache 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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