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Analytics Engineer Jobs in Remote, OR (NOW HIRING)

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Senior Data Engineer (Azure/Databricks)

OR · Remote

$125K - $165K/yr

Databricks, Azure Data Factory (ADF), Azure Synapse Analytics, Azure SQL Database, Azure DevOps, Key Vault * 3+ years of hands-on experience with Azure Databricks * 5+ years of experience developing ...

New

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Senior Data Engineer (Azure/Databricks)

OR · Remote

$125K - $165K/yr

Databricks, Azure Data Factory (ADF), Azure Synapse Analytics, Azure SQL Database, Azure DevOps, Key Vault * 3+ years of hands-on experience with Azure Databricks * 5+ years of experience developing ...

New

Sr Operations Engineer

OR · On-site

$84K - $112K/yr

Monitor and analyze performance across customer networks and underlying MS Tools deployments as required for Managed Services. * Provide high-level technical & engineering support for network ...

Systems Engineer

OR · On-site +1

Senior Systems Engineer (Windows) Remote, USA EMKS is seeking a Senior Systems Engineer to support ... root cause analysis, and coordinate remediation with database, Linux, network, security, and ...

Controls Engineering Manager

Sutherlin, OR

$82K - $106K/yr

Models, tests, and measures output and data to analyze performance or quality issues and develop solutions. The Controls Engineering Manager bridges engineering innovation and business strategy by ...

Models, tests, and measures output and data to analyze performance or quality issues and develop solutions. The Controls Engineering Manager bridges engineering innovation and business strategy by ...

Sr. Engineer, Site Reliability

OR · On-site +1

$53.50 - $71/hr

The engineer will lead Azure environment buildout while maintaining and improving existing AWS ... Provide L3 incident response and lead root cause analysis efforts for application-tier outages ...

New

Sr. Engineer, Site Reliability

OR

$53.50 - $71/hr

The engineer will lead Azure environment buildout while maintaining and improving existing AWS ... Provide L3 incident response and lead root cause analysis efforts for application-tier outages ...

Senior Lead DevOps Engineer

OR · Remote

$121K - $156K/yr

... Engineer will help shape and leverage emerging technologies to automate software deployment ... cloud services * Analyse current technology utilized within the company and develop steps and ...

Systems Analyst

OR · On-site +1

Provide systems engineering support with focus on analysis of System Under Test (SUT) on integration of existing COTS/GOTTS products and services program * Perform system(s) performance analysis ...

Pre-Sales Engineer, Workers' Compensation Location : Remote (US) Sapiens is on the lookout for a ... Work with Product Strategy to perform market analysis to enhance the demo environments as per ...

Provide systems engineering support with focus on analysis of System Under Test (SUT) on integration of existing COTS/GOTTS products and services program Perform system(s) performance analysis ...

Network Inventory GIS Engineer

OR · Remote

$67K - $90K/yr

Performs basic network inventory data corrections, data analysis, and redlining Performs ticket ... in GIS engineering, analysis, or network inventory. Strong understanding of GIS concepts ...

Showing results 41-60

Analytics Engineer information

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are popular job titles related to Analytics Engineer jobs in Remote, OR? For Analytics Engineer jobs in Remote, OR, the most frequently searched job titles are:
What cities near Remote, OR are hiring for Analytics Engineer jobs? Cities near Remote, OR with the most Analytics Engineer job openings:
Infographic showing various Analytics Engineer job openings in Remote, OR as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 76% In-person, and 24% Remote job distribution.

Senior Data Engineer (Azure/Databricks)

Tech Spot Consulting Llc

OR • Remote

$125K - $165K/yr

Contractor

Posted 2 days ago

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Job description

Overview
Experis is seeking an experienced Senior Data Engineer to support a leading energy organization headquartered in Baltimore, MD. This role is responsible for designing, building, and optimizing enterprise-scale data platforms and cloud-based data solutions within the Microsoft Azure ecosystem. The ideal candidate will have deep expertise in Azure, Databricks, PySpark, SQL, and modern data warehousing practices, with a proven ability to deliver scalable, reliable, and high-performance data solutions that drive business value.
 
Required Qualifications
Core Technical Experience

  • 5+ years of experience with Microsoft Azure Cloud Services
    • Databricks, Azure Data Factory (ADF), Azure Synapse Analytics, Azure SQL Database, Azure DevOps, Key Vault
  • 3+ years of hands-on experience with Azure Databricks
  • 5+ years of experience developing solutions using PySpark
  • 8+ years of experience in data warehousing and data engineering, strong experience building and optimizing data pipelines independently.
  • 8+ years of advanced SQL development – creating complex SQL queries from scratch
  • Preferred: Experience with Delta Lake (Azure)


Primary Focus:

  • Build new data pipelines and onboard new datasets.
  • Understand business requirements and identify source tables.
  • Develop and deploy data ingestion pipelines.
  • Execute data quality validation.
  • Move data through Bronze → Silver → Gold layers.
  • Optimize pipeline performance and processing efficiency.
  • Provide production support after implementation.


What's the Job?

  • Design, develop, and support scalable cloud-based data platforms and pipelines using Azure services and Databricks.
  • Build and maintain efficient ETL/ELT processes for structured and unstructured data sources.
  • Design and optimize enterprise data warehouses, data lakes, and modern analytics platforms.
  • Create high-quality, secure, and maintainable data solutions following engineering best practices.
  • Collaborate with stakeholders to translate business requirements into technical solutions and support cloud migration initiatives.


What's in it for me?

  • Opportunity to work on innovative cloud-based data solutions in a dynamic environment.
  • Engagement with cutting-edge technologies within the Azure ecosystem.
  • Chance to contribute to impactful projects supporting energy operations.
  • Flexible remote work arrangement supporting work-life balance.

Potential for contract extension based on project needs and performance

Company Description

Tech spot consulting ,LLC