TekWissen ®

Principal Data Engineer – HR Analytics

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Data Engineer – HR Analytics in Frisco, TX, for 12 months at $41.00/hr. Requires 10+ years of data engineering experience, expertise in Snowflake, Databricks, and Microsoft Fabric, and HR analytics domain experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
328
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🗓️ - Date
June 13, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Frisco, TX
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🧠 - Skills detailed
#BI (Business Intelligence) #Data Engineering #Data Pipeline #Spark (Apache Spark) #Visualization #Workday #ML (Machine Learning) #Leadership #SQL (Structured Query Language) #AI (Artificial Intelligence) #Snowflake #Semantic Models #"ETL (Extract #Transform #Load)" #Data Modeling #Delta Lake #Microsoft Power BI #Datasets #Databricks #Python #Data Ingestion #PySpark #DevOps #Spark SQL
Role description
Position: Principal Data Engineer – HR Analytics Location: Frisco, TX Duration: 12 Months Work Type: Hybrid Payrate:$ 41.00 - 41.00/hr. Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services Job Description: • The Principal Data Engineer is the senior‑most delivery engineer on the HR Analytics team and serves as the in‑region engineering peer to the Information Architect and Principal Data Engineer (India). • This is a hands‑on technical leadership role responsible for building the most complex, high‑impact HR data products end‑to‑end — from engaging with HR executives to understand business needs, through data ingestion and transformation across Snowflake and Databricks, to delivering certified datasets in Microsoft Fabric and Power BI. • The role sets the engineering benchmark for the team, mentors senior engineers, partners on platform decisions, and represents HR Analytics engineering in enterprise forums. Key Responsibilities: • Own end‑to‑end delivery of complex HR Analytics data products • Engage with HR executives and senior stakeholders to translate business needs into technical solutions • Design and implement data pipelines across: • Snowflake (including Iceberg) • Databricks (Delta Lake) • Microsoft Fabric semantic layer • Deliver certified datasets and visualizations in Power BI • Define and maintain engineering standards and best practices • Partner with the Information Architect on platform architecture, governance, and pattern definition • Act as primary US engineering lead for high‑impact delivery commitments • Provide technical leadership and guidance to senior and mid-level data engineers • Drive cross-region collaboration with the India team for seamless delivery • Troubleshoot and resolve complex engineering challenges • Represent HR Analytics engineering in enterprise-level discussions • Mentor and develop senior engineering talent How the Role Operates: • Acts as the senior-most US engineering voice for critical initiatives • Works as a peer partner with: • Information Architect (architecture decisions) • Principal Data Engineer (India) (cross‑region delivery) Engages directly with: • HR VPs and executives • Analytics leadership • Leads by example with hands-on coding, modeling, and data product delivery • Drives engineering excellence through practical implementation • Team Structure & Working Model • Global HR Analytics team across Country & India Structure: • Information Architect – Architecture ownership • Principal Data Engineers – Engineering leadership & delivery • Senior / Data / Associate Engineers – Execution Delivery flow: • Business need → Design → Ingestion → Transformation → Semantic layer → Power BI • Operates in a DevOps model: • Engineers own production data products • On‑call rotation shared across team Required Qualifications • 10+ years of experience in Data Engineering / Data Platform Engineering • Experience in Principal / Lead engineering role on enterprise data platforms • Strong hands-on expertise in: • Databricks (Delta Lake) • Snowflake (including Iceberg) • Microsoft Fabric • Proficiency in: • PySpark • Spark SQL • Python • Experience building end-to-end data pipelines and data products Strong knowledge of: • Data modeling • Lakehouse architecture • Data transformation frameworks • Experience working with enterprise data systems and large-scale platforms • Ability to engage with senior business stakeholders and translate technical solutions • Proven experience mentoring and leading senior engineers Preferred Qualifications • Experience in HR Analytics domain (Workforce, Talent, Compensation, etc.) • Exposure to Workday, ServiceNow, or similar HR systems • Experience with streaming technologies • Familiarity with enterprise data platforms and large-scale analytics environments • Experience supporting AI/ML or advanced analytics workloads • Exposure to Power BI semantic models and reporting TekWissen® Group is an equal opportunity employer supporting workforce diversity.