Data Analytics Engineer AWS

I’m helping DataMasters find a top candidate to join their team full-time for the role of Data Analytics Engineer AWS.

You will build scalable AWS analytics solutions to drive critical business decisions and impact.

Compensation:

USD 75K - 90K/year

Location:

Hybrid: North Elm Street, Greensboro, NC, USA

Mission of DataMasters:

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What makes you a strong candidate:

• You are proficient in SQL, Python, Extract, transform, load (ETL), Data warehouse, Data modeling, Data lake.
• English - Conversational

Responsibilities and more:

Data Analytics Engineer – Direct-hire (FTE)

Overview

This is an excellent opportunity for a Data Analytics Engineer who enjoys building scalable, AWS-based analytics solutions, executing against a clear roadmap, and working closely with both technical teams and the business.

The role sits at the intersection of data engineering and analytics and plays a key role in executing a well-defined analytics roadmap. This includes building a centralized reporting and forecasting platform using AWS technologies such as S3, Redshift, and QuickSight to support business decision-making.

The foundational architecture is already in place, tools have been selected, and multiple projects are planned. This role is focused on strong execution, collaboration, and consistent delivery.

Job details

* Design, build, and maintain scalable data models aligned with business needs.

* Develop and support automated data pipelines for data ingestion, transformation, and loading.

* Work with AWS S3 as the data lake layer and transform data downstream using Redshift and QuickSight.

* Implement data quality checks and testing to ensure data accuracy and reliability.

* Support and enhance reporting and forecasting solutions for business users.

* Collaborate closely with data engineers, analysts, developers, and business process owners.

* Document data models, pipelines, and transformations to ensure long-term usability.

* Identify and resolve data-related issues efficiently and effectively.

* Execute against an established roadmap, delivering high-quality work on time.

Key initiatives on the roadmap

* Forecasting tool.

* Sales reporting.

* COPA reporting.

Skills needed for success

* Strong AWS experience, including S3, Redshift, and QuickSight.

* Advanced SQL skills.

* Data modeling, including relational and dimensional models.

* Hands-on experience with data warehouses, data lakes, and ETL processes.

* Programming experience in Python or similar languages.

* Strong data quality best practices.

* Experience working with BI tools and analytics platforms.

Education

* Bachelor’s degree required.

* Master’s degree in applied data analytics preferred.

Job benefits:

• Client is a strong manufacturing organization with strong team culture
• Committed to the local area
• Range of benefits includes:
• medical coverage,
• 401K with a company match,
• dental coverage,
• healthcare flexible spending account,
• life insurance for employees and dependents,
• accidental death insurance,
• disability insurance,
• home and auto coverage,
• tuition reimbursement program,
• group legal,
• credit union association membership
• employee assistance program.
• Detailed information on benefit programs is provided to applicants considered for specific position openings.