Analytics Engineer

Metronet

Analytics Engineer bridging business and technical data solutions at Metronet. Designing data models and developing pipelines to enhance decision-making across the organization.

Posted 6/9/2026full-timeRemote • Arizona, Colorado, Florida, Illinois, Iowa, Kansas, Kentucky, Louisiana, Minnesota, Missouri, Montana, Nevada, New Mexico, North Carolina, Ohio, Oklahoma, Texas, Virginia, Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $70,000 - $80,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLJavaPythonScalaSQL

About the role

Key responsibilities & impact

Design and develop data serving and semantic layers to support business needs ranging from traditional reporting to reverse ETL and LLM/AI implementations.
Develop data models for use by analysts and applications from across the business using modern dimensional modeling practices to efficiently serve accurate, consistent data.
Build and maintain robust, scalable data pipelines to extract, transform, and load (ETL, ELT) data from various sources into the data platform using both batch processing and event-driven patterns.
Create efficient, performant data models to support business requirements and analytics needs.
Implement and automate data quality checks and monitoring to ensure data accuracy and drive observability.
Manage, troubleshoot and optimize existing data infrastructure, including cloud-based solutions and on-premises systems.
Leverage cloud data platforms (Fabric, Databricks, Snowflake, etc.) for data storage, processing, and analysis.
Work closely with data analysts, data scientists, and business stakeholders to understand their data needs and deliver solutions.
Identify and resolve data-related issues and challenges for technical and non-technical stakeholders.
Support company-wide projects ranging from server migrations to mergers and acquisitions as a data and systems expert.
Automate data processes to improve efficiency and reduce manual effort.
Implement modern concepts like metadata-driven pipelines and Infrastructure-as-Code that will play a key role in a scalable, resilient data platform.
Document data processes, architecture, and workflows.

Requirements

What you’ll need

Bachelor's degree in computer science, engineering, or a related field
3 – 5 years of experience as a Data Engineer or Analytics Engineer
Advanced SQL skills required, experience with the use of programming languages (Python, Java, Scala) preferred
Experience gathering requirements directly from business stakeholders
Experience with data warehousing and data lake technologies, concepts and best practices
Experience designing dimensional models and semantic layers for reporting and analytics
Understanding of data modeling and ETL processes and best practices
Experience with multiple cloud platforms (Azure, AWS, etc.) is required; experience with data platforms like Fabric, Databricks or Snowflake is preferred
Strong analytical and problem-solving skills
Willingness to work as a team and independently.
Must be legally authorized to work in the U.S.

Benefits

Comp & perks

80% of medical premiums paid by the company
Company-paid disability and life insurance
401(k)-company match
Discounted services within our coverage areas

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonJavaScalaETLELTdata modelingdimensional modelingdata quality checksInfrastructure-as-Code

Soft Skills

analytical skillsproblem-solving skillsteamworkindependencecommunication

Certifications

Bachelor's degree in computer scienceBachelor's degree in engineeringBachelor's degree in a related field