Analytics & Data Engineer

TravelCenters of America

Warrenville (IL)

On-site

USD 90,000 - 130,000

Full time

14 days+
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Job summary

TravelCenters of America is seeking a skilled Analytics & Data Engineer to own the data lifecycle from Zoho ingestion to insights. You will architect pipelines to Snowflake and deliver a high-performance OLAP environment for Power BI.

Responsibilities include ETL/ELT orchestration, Snowflake modeling, Fabric integration, and governance with security controls. On-site role in Lisle, IL, requiring 2-3 years in data engineering/analytics.

Qualifications

  • Advanced proficiency in Snowflake and data warehousing concepts.
  • Experience with BI ecosystems including Power BI and Fabric.
  • Strong SQL and Python skills for data transformations.
  • Experience integrating with REST APIs (Zoho or similar).
  • Familiarity with dbt and orchestration tools like Airflow or Fabric Data Factory.

Responsibilities

  • Pipeline Orchestration: Design and manage ETL/ELT pipelines to extract data from Zoho APIs and load it into Snowflake.
  • Snowflake Modeling: Architect scalable data structures in Snowflake using Star Schema or Data Vault methodologies for fast querying.
  • Fabric Integration: Integrate Snowflake with Microsoft Fabric (OneLake) for a unified data layer.
  • OLAP Development: Build semantic models within Fabric/Power BI ensuring sub-second report performance.
  • Performance Tuning: Optimize Snowflake compute usage and Power BI DAX queries to reduce latency and costs.
  • Data Governance: Implement Row-Level and Object-Level Security across the stack.
  • Sandbox Strategy: Support change management in lower environments.

Skills

Data warehousing
BI ecosystem
Programming
API integration
Modern data stack

Tools

Snowflake
Power BI
dbt
Airflow
Fabric

Job description

Role Overview

We are looking for a highly skilled Analytics & Data Engineer to own the end-to-end data lifecycle from ingestion to insights. You will be responsible for architecting and maintaining robust data pipelines that move data from Zoho through Snowflake, with final delivery to Microsoft Fabric. Your goal is to build and maintain a high-performance OLAP environment that powers critical business intelligence in Power BI.

Key Responsibilities
  • Pipeline Orchestration: Design and manage ETL/ELT pipelines to extract data from Zoho APIs and load it into Snowflake.

  • Snowflake Modeling: Architect scalable data structures in Snowflake using Star Schema or Data Vault methodologies to ensure data is optimized for high-speed querying.

  • Fabric Integration: Seamlessly integrate Snowflake with Microsoft Fabric (OneLake) to create a unified data layer for downstream analytics.

  • OLAP Development: Build and maintain semantic models within Fabric/Power BI, ensuring sub-second report performance and data accuracy.

  • Performance Tuning: Monitor and optimize Snowflake compute usage and Power BI DAX queries to minimize latency and costs.

  • Data Governance: Implement security protocols, including Row-Level Security (RLS) and Object-Level Security (OLS), across the entire stack.

  • Sandbox Strategy: Ensure lower-environment strategy supports change management of data-related needs.

Required Technical Skills
  • Data Warehousing: Advanced proficiency in Snowflake (SnowSQL, Snowpipe, Tasks).

  • BI Ecosystem: Expertise in Microsoft Fabric and Power BI (Direct Lake mode, DAX, Power Query).

  • Programming: Strong SQL and Python skills for complex data transformations.

  • API Integration: Experience working with REST APIs, specifically for SaaS platforms like Zoho.

  • Modern Data Stack: Familiarity with transformation tools like dbt and orchestration tools like Airflow or Fabric Data Factory.

Preferred Qualifications
  • Microsoft Certified: Fabric Analytics Engineer Associate or SnowPro Core Certification.

  • Experience implementing MedallionArchitecture (Bronze/Silver/Gold) in a cloud environment.

Additional Information about the role
  • On-site 5 days a week in Lisle, IL.

  • Requires 2-3 years of data engineering/analytics experience.

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