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IT Data Engineer I (On-Site)

IT Data Engineer I (On-Site)

Country Supplier LLCIdaho Falls, ID, US
2 days ago
Job type
  • Full-time
Job description

Job Description

Job Description

Description : Primary Purpose

The Data Engineer will design, build, and maintain scalable data infrastructure. This role can be scaled from entry-level (Tier 1) to strategic leadership (Lead), depending on experience and organizational needs. The role will play a key role in enabling data-driven decision-making by ensuring clean, reliable, and accessible data across the organization.

Essential Duties and Responsibilities

Tier I

  • Assist in building and maintaining basic ETL pipelines.
  • Perform routine data cleaning and validation.
  • Support data ingestion from internal and external sources.
  • Document processes and escalate complex issues.

Tier II

  • Design and optimize ETL / ELT workflows from API, flat files and other sources.
  • Develop and maintain data models and schemas.
  • Collaborate with analysts and developers to meet data needs.
  • Monitor data pipeline performance and troubleshoot issues.
  • Optimize data delivery and automate manual processes.
  • Perform regular backups and recovery procedures.
  • Understanding of PCI regulations.

    • Tier III

  • Architect scalable data solutions across cloud and on-prem environments.
  • Implement data governance, quality, and security standards.
  • Lead integration of new data sources and technologies.
  • Assemble large, complex datasets from multiple sources.
  • Build infrastructure using Azure, Snowflake, Databricks, SQL, Fabric and Power BI.
  • Ensure data quality, integrity, and security across platforms.
  • Set up and manage user access and permissions.
  • Monitor database performance and apply necessary updates or patches.
  • Mentor junior engineers and contribute to technical strategy.

    • Lead

  • Own the data engineering roadmap and infrastructure strategy.
  • Oversee team performance and cross-functional collaboration.
  • Drive innovation in data architecture and automation.
  • Align data systems with business goals and analytics initiatives.
  • Collaborate with data analysts, and product teams to support data needs.
  • Ensure data security, privacy, and compliance with regulations.
  • Mentor junior engineers and contribute to technical strategy.

    • Other Duties and Responsibilities

  • Comprehensive knowledge of the products Country Supplier sells.
  • Perform daily cleaning – such as, but not limited to, vacuuming, replacing full trashes with new trash bags, and sweeping.
  • Other duties assigned as needed.

    • Qualifications

    Tier I

  • Associate’s degree in IT, Data Engineering or related field, or equivalent and related experience.
  • Basic SQL and Python skills.
  • Familiarity with relational databases and data formats (CSV, JSON, DAX, SQL).
  • Google Analytics Certificate preferred.
  • Microsoft Azure Fundamentals preferred.
  • CompTIA Security+ preferred.
  • Administering Microsoft SQL Solutions preferred.

    • Tier II

  • Bachelor’s Degree in IT, Data Engineering or related field, or equivalent and related experience.
  • 2+ years of experience.
  • Proficiency in SQL, Python, DAX, and ETL tools (e.g., Airflow, dbt).
  • Experience with cloud platforms (AWS, Azure, GCP, Fabric).
  • DBT Fundamentals preferred.
  • Microsoft DP-700 preferred.
  • Data Engineering on Microsoft Azure preferred.

    • Tier III

  • Bachelor’s Degree in IT, Data Engineering or related field, or equivalent and related experience.
  • 4+ years of experience.
  • Expertise in data warehousing (e.g., Snowflake, Redshift).
  • Strong understanding of data architecture and performance tuning.
  • Strong understanding of CI / CD environments.
  • Strong programming skills (Python, Java, Scala, DAX).
  • Experience with big data tools (Lakehouse, Power BI, Fabric).
  • Understanding of / experience in Lakehouse architecture, Star Schema and Medallion Architecture.
  • Snowflake SnowPro Core preferred.
  • Microsoft DP-600T00 preferred.
  • CAPM preferred.

    • Lead

  • Bachelor’s Degree in IT, Data Engineering or related field, or equivalent and related experience.
  • 7+ years’ experience.
  • Proven leadership in data engineering and infrastructure.
  • Experience aligning data strategy with business outcomes.
  • Proven experience with relational databases (SQL Server, MySQL, PostgreSQL).
  • Solid understanding of API protocols (e.g., REST, SOAP, JSON, XML) and web services.
  • ITIL V4 preferred.

    • Requirements :

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    Data Engineer • Idaho Falls, ID, US

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