Data Engineer
Greensboro, NC
apexanalytix
Minimize supplier risk with touchless onboarding and risk management. Discover how Enterprise Risk Resolution can help protect your business.
About Us:
At apexanalytix, we’re lifelong innovators! Since the date of our founding nearly four decades ago we’ve been consistently growing, profitable, and delivering the best procure-to-pay solutions to the world. We’re the perfect balance of established company and start-up. You will find a unique home here.
And you’ll recognize the names of our clients. Most of them are on The Global 2000. They trust us to give them the latest in controls, audit and analytics software every day. Industry analysts consistently rank us as a top supplier management solution, and you’ll be helping build that reputation.
Read more about apexanalytix - https://www.apexanalytix.com/about/
Quick Take -
We are seeking a highly technical and experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining large-scale data systems, architectures, and pipelines that drive business growth, improve operational efficiency, and inform strategic decisions. The ideal candidate will have a strong background in computer science, mathematics, or a related field, with expertise in data engineering and data analysis. Familiarity with supplier and item-level data sets, including purchase orders, invoices, and sales data, is a desirable asset.
The Work -
- Develop and maintain data pipelines which will move from one system to another (MS SQL, Snowflake, email archives) to ensure data quality and integrity
- Write efficient Python scripts to automate data processing, data cleaning, and data visualization tasks
- Analyze large datasets to identify trends, opportunities, and challenges in retail operations
- Optimize data processes and SQL queries to overcome challenges with massive datasets (billions of rows)
- Utilize Large Language models (LLMs) via APIs to build text classifiers, extract information from email conversations, and perform other natural language processing tasks
- Collaborate with data scientists to develop predictive models and identify opportunities for model improvement
- Effectively communicate complex data insights and recommendations to non-technical stakeholders
The Must-Haves -
- Associate degree (or higher) in Computer Science, Mathematics, Statistics, Physics or a related field
- 2+ years of experience as a Data Analyst, Data Engineer, or similar role
- Strong SQL skills, with experience in querying and manipulating large datasets
- Proficiency in Python, with experience in data analysis and automation
- Experience in Airflow or similar open-source workflow orchestrator
- Experience in Airbyte or similar open-source integration tool
- Knowledge of machine learning algorithms and experience with implementing them in a production environment
- Ability to work in a fast-paced environment and meet deadlines
- Strong analytical, problem-solving, and communication skills
The Nice-to-Haves
- Experience in Snowflake
- Experience working with retail data sets like PO, Invoice, and Sales at supplier and item level
- Experience with containerization using Docker and orchestration using Kubernetes
- Certification in data analysis or a related field
Over the years, we’ve discovered that the most effective and successful associates at apexanalytix are people who have a specific combination of values, skills, and behaviors that we call “The apex Way”. Read more about The apex Way - https://www.apexanalytix.com/careers/
Benefits
At apexanalytix we know that our associates are the reason behind our successes. We truly value you as an associate and part of our professional family. Our goal is to offer the very best benefits possible to you and your loved ones. When it comes to benefits, whether for yourself or your family the most important aspect is choice. And we get that. apexanalytix offers competitive benefits for the countries that we serve, in addition to our BeWell@apex initiative that encourages employees’ growth in six key wellness areas: Emotional, Physical, Community, Financial, Social, and Intelligence.
With resources such as a strong Mentor Program, Internal Training Portal, plus Education, Tuition, and Certification Assistance, we provide tools for our associates to grow and develop.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Apex APIs Architecture Computer Science Data analysis Data pipelines Data quality Data visualization Docker Engineering Kubernetes LLMs Machine Learning Mathematics MS SQL NLP Open Source Physics Pipelines Python Snowflake SQL Statistics
Perks/benefits: Career development Competitive pay Startup environment Wellness
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