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Remote Amazon Business Intelligence Engineer Jobs in Raleigh, NC

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

Possesses skills and experience related to business management, systems engineering, operations ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

Possesses skills and experience related to business management, systems engineering, operations ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

This skillset allows for transforming complex datasets into actionable business intelligence ... Remote or field-based positions will have different workplace arrangements which will be indicated ...

AI and Data Science Engineer III

Raleigh, NC · On-site +1

$111K - $133K/yr

Cloud or artificial intelligence or machine learning certification * 4+ years of experience with ... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ...

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Bachelor's degree or equivalent experience * 6 years of experience in analytics engineering, business intelligence, or data engineering roles delivering enterprise-scale analytics solutions * 5 years ...

Overview / Responsibilities Wood Process & Energy business performs consulting and EPCM services ... Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ...

Overview / Responsibilities Wood Process & Energy business performs consulting and EPCM services ... Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ...

Overview / Responsibilities Wood Process & Energy business performs consulting and EPCM services ... Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ...

Data & Insights Analyst

Raleigh, NC · On-site +1

$88K - $141K/yr

... business intelligence analysis. What you will do: * Data Analysis: Analyze complex business ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Overview / Responsibilities Wood Process & Energy business performs consulting and EPCM services ... Engineering of distribution electrical projects through the entire project lifecycle: from ...

Overview / Responsibilities Wood Process & Energy business performs consulting and EPCM services ... Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ...

Overview / Responsibilities Wood Process & Energy business performs consulting and EPCM services ... Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ...

Overview / Responsibilities Wood Process & Energy business performs consulting and EPCM services ... Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ...

Overview / Responsibilities Wood Process & Energy business performs consulting and EPCM services ... Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ...

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Remote Amazon Business Intelligence Engineer information

See Raleigh, NC salary details

$28

$55

$77

How much do remote amazon business intelligence engineer jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for remote amazon business intelligence engineer in Raleigh, NC is $55.46, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $61.92 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Amazon Business Intelligence Engineer, and why are they important?

To thrive as a Remote Amazon Business Intelligence Engineer, you need strong analytical skills, expertise in data modeling, and proficiency in SQL and data visualization, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with Amazon Web Services (AWS), business intelligence tools like Tableau or QuickSight, and ETL systems is commonly required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and translating business needs into actionable insights. These skills are crucial for driving data-informed decision-making and delivering impactful business solutions in a distributed work environment.

What is the difference between Remote Amazon Business Intelligence Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Business Intelligence EngineerRemote Amazon Data Analyst
Required SkillsData modeling, SQL, BI tools, AWS servicesData querying, Excel, SQL, visualization tools
Work EnvironmentCross-functional teams, cloud-based platformsData-focused roles, reporting environments
Industry UsageTech, retail, e-commerceRetail, marketing, e-commerce

The Remote Amazon Business Intelligence Engineer focuses on designing and maintaining data systems and dashboards to support business decisions, often working with cloud platforms like AWS. In contrast, the Remote Amazon Data Analyst primarily interprets data, creates reports, and provides insights. Both roles require SQL and data visualization skills but differ in scope and technical depth.

What does a Remote Amazon Business Intelligence Engineer do?

A Remote Amazon Business Intelligence Engineer is responsible for designing, developing, and maintaining data solutions that help Amazon make data-driven decisions. They work with large datasets, build dashboards, create data models, and generate reports to support different business teams. Their role often involves using tools like SQL, Python, and AWS services to extract and analyze data. Working remotely, they collaborate with stakeholders across Amazon to deliver insights that improve processes and drive business growth.

What are the main collaboration methods for a Remote Amazon Business Intelligence Engineer working with cross-functional teams?

As a Remote Amazon Business Intelligence Engineer, effective collaboration is essential, especially when working with data scientists, product managers, and software engineers across different time zones. Most communication occurs through virtual meetings, project management platforms, and regular status updates via email or chat tools. You'll often participate in sprint planning sessions, data review meetings, and code reviews to ensure data solutions align with business objectives. Building strong remote relationships and maintaining clear, proactive communication are key to overcoming the challenges of working in a distributed team environment.
What are the most commonly searched types of Amazon Business Intelligence Engineer jobs in Raleigh, NC? The most popular types of Amazon Business Intelligence Engineer jobs in Raleigh, NC are:
What are popular job titles related to Remote Amazon Business Intelligence Engineer jobs in Raleigh, NC? For Remote Amazon Business Intelligence Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Remote Amazon Business Intelligence Engineer jobs? Cities near Raleigh, NC with the most Remote Amazon Business Intelligence Engineer job openings:
Sr. Data Engineer-Databricks SME (Remote)

Sr. Data Engineer-Databricks SME (Remote)

A.C. Coy

Raleigh, NC • On-site, Remote

$111K - $133K/yr

Other

Posted 5 days ago


Job description

Overview
  • Tier One Technologies is seeking a Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks.
  • This remote contract-to-hire position will be originated in Raleigh, NC.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

Responsibilities
  • Design, develop, and maintain scalable data ingestion pipelines to onboard structured, semi-structured, and unstructured data from batch and streaming sources (e.g., APIs, databases, flat files, message queues) into the Azure/Databricks environment.
  • Implement de-duplication strategies across large-scale datasets using deterministic and probabilistic matching techniques to ensure data integrity and reduce redundancy within the Data Lake.
  • Develop and enforce data tagging frameworks to classify, label, and annotate datasets with appropriate metadata (e.g., sensitivity, source, domain, lineage) to support data governance, discoverability, and compliance requirements.
  • Assist with Operationalizing deployments and support of Cloud services for ETL Operations. This will include standardizing and automating processes and workflows, creating documentation/knowledge articles, and overall assisting Operations staff who have limited experience in Cloud.
  • Written and oral presentations to high-level CIO management on status of current efforts.
  • Possesses skills and experience related to business management, systems engineering, operations research, and management engineering. Typically has specialization in a particular technology or business application. Keeps abreast of technological developments and industry trends.
  • Assist with deployment, configuration, and management of Azure Cloud environment.
  • Assist with migration efforts of existing ETL jobs into Azure/Databricks cloud environment.
  • Ability to share optimization and efficiencies with the larger team and management.
  • Ability to automate solutions to repetitive problems/tasks.

Qualifications
  • A degree from an accredited College/University in the applicable field of services is required. If the degree is not in the applicable field, then four additional years of related experience is required.
  • 13+ years of overall IT experience.
  • 5+ years demonstrated experience designing and implementing data ingestion pipelines using tools such as Azure Data Factory, Apache Kafka, Apache NiFi, Spark Structured Streaming, or equivalent technologies.
  • 5+ years of experience applying de-duplication techniques at scale, including record linkage, fuzzy matching, and entity resolution across structured and unstructured datasets.
  • 5+ years of hands-on experience with data tagging and metadata management, including the use of tagging schemas, data catalogs (e.g., Azure Purview, Apache Atlas), and automated classification tools to support data governance and lineage tracking.
  • 5+ years of demonstrated experience working with unstructured data.
  • 2+ years of experience in using Databricks or other Spark-based platforms.
  • Fluency in at least one scripting language (Python, Perl, Ruby, or equivalent).
  • Experience with one or more of the following products and technologies: SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning, Natural Language Processing, and visualization tools such as Tableau, Strategy and QLIK is a plus.
  • Integration of Git in continuous deployment and experience with DevOps monitoring tools is a plus.
  • Familiarity with Cloud Operations support in Azure is a plus.
  • Excellent communication skills.
  • Must be able to obtain a Position of Public Trust Clearance.
  • Must be a US Citizen or have US Permanent Residence status (Green Card).
  • Must have resided in the US for the last 5 years and not have traveled outside the US for a combined total of 6 months or more in last 5 years.

A.C. Coy Company- Staffing & Consulting Services logo

About A.C. Coy Company- Staffing & Consulting Services

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Since 1986, our mission is to be the “Always on Target” staffing and consulting provider by helping people and companies achieve their hiring goals. The team is dedicated to achieving these goals by attracting and retaining top talent that meets our clients’ culture and environment. We are fully engaged with our people and companies through ongoing communication to ensure expectations are met.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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