Analytics Engineer

AvantGuard Monitoring, LLCOgden, UT
64dHybrid

About The Position

At Becklar, we empower organizations to make life-saving decisions through reliable, real-time data solutions. We are seeking an experienced Analytics Engineer to join our data team. This role bridges the gap between data engineering and data analytics, enabling scalable, high-quality data solutions. You will build reliable pipelines, transform raw data into analytics-ready models, and work closely with stakeholders to support data-driven decisions across the organization.

Requirements

  • Bachelors or Masters in Computer Science, Information Systems, Data Science, or a related field.
  • 3+ years of experience in data engineering or analytics engineering roles.
  • Proficiency in SQL and large-scale data modeling.
  • Experience with Big Data tools
  • Hands-on experience with ELT/ETL and orchestration tools
  • Familiarity with cloud data ecosystems (AWS, GCP, or Azure).
  • Strong understanding of data warehousing and analytics processing.

Nice To Haves

  • Experience with containerization and CI/CD (e.g., DevOps pipelines, GitHub Actions).
  • Knowledge of data governance, privacy, and compliance.
  • Familiarity with BI tools (Sigma preferred).

Responsibilities

  • Design, develop, and maintain scalable data pipelines using modern Big Data tools (Fivetran, Snowflake, Sigma)
  • Transform complex, raw datasets into clean, curated data models (e.g., dimensional models, star/snowflake schemas).
  • Write efficient SQL and reusable data transformation logic using tools like dbt.
  • Collaborate with analysts, data scientists, and stakeholders to define and deliver data solutions.
  • Ensure data quality, accuracy, and timeliness across the data platform.
  • Optimize queries and system performance in large-scale environments.
  • Work with cloud infrastructure (AWS, GCP, or Azure) to manage data storage and compute resources.
  • Enforce best practices in data governance, version control, and documentation.
  • Monitor and troubleshoot data workflows, ensuring SLAs are met.

Benefits

  • Make a measurable impact on business performance through data.
  • Collaborate with high-caliber data and engineering teams.
  • Enjoy flexibility in a hybrid work model.
  • Be part of a data-driven, innovation-focused company culture.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Administrative and Support Services

Number of Employees

251-500 employees

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