Data Engineer

Job Title: Data Engineer

Schedule: Monday-Friday, 8am – 5pm

Location: On site (Willingboro, NJ or Chicago, IL).

Reports To: Manager, IT Data Analytics

JOB SUMMARY

As a Data Engineer at Radwell, you will be a key member of the data engineering team, responsible for designing, building, and maintaining our data environment. You will collaborate closely with fellow data engineers, reporting analysts, and software engineers to ensure our data pipelines are efficient, scalable, and reliable. The Radwell Data Engineer is a forward-thinking innovator who understands how to implement data solutions for next-generation challenges by working directly with the business to understand their data needs. Your work will help optimize activities across multiple functions such as pricing, warehousing, and procurement, driving data-driven decisions and operational efficiency throughout the organization.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Build and maintain advanced data systems that bring together data from disparate sources in order to enable decision makers

Design, develop, and maintain scalable data pipelines and ETL processes using Databrick, azure data factory, SQL and Python

Build pipelines and prepare data for use by data scientists, data analysts, and other data systems

Take a solution-oriented problem-solving approach to develop creative solutions for business needs by partnering with business leaders and subject matter experts

Leverage cloud infrastructure and metadata driven frameworks to deliver value and scalability

May be modified from time to time. Other duties, tasks and work may be assigned

METRICS

Consistently meet monthly deadlines and objectives as agreed and typically described in monthly reviews or through other project planning efforts

Handle ongoing projects and day-to-day demands that are not identified in formal monthly objectives in a timely and accurate manner

Adherence to any related budget expenses

Adherence to/achievement of business objectives described in project benefit analyses

QUALIFICATIONS

Bachelor’s degree in computer science, Engineering, or related field discipline preferred

Minimum 3 years’ experience delivering data engineering solutions on a cloud platform

Minimum 3 years’ experience implementing modern designs using at least one cloud-based solution

Minimum 3 years’ experience with SQL or NoSQL databases

Minimum 3 years’ experience with at least one programming language, with a strong preference towards Python

KNOWLEDGE & SKILLS REQUIRED

Advanced level proficiency with at least one ETL / data orchestration technology such as Azure Data Factory, SSIS, Informatica

Experience in cloud-based data warehousing and data lake solutions such as Databricks, Snowflake, or Redshift

Expertise with SQL, database design and data structures (star/snowflake schemas, de/normalized design)

Familiarity with DevOps tools such as git, TFS, CI/CD, Jira

Fundamental understanding of big data, open source, and data streaming concepts

Fundamental understanding of implementation of MLOps best practices

Familiarity with packaged software data extraction from systems such as NetSuite, Profit21 ERP as well as Salesforce CRM.

Experience sub-setting data into cube structures for business use in data reporting and analytics.

Ability to think strategically and provide recommendations utilizing traditional and modern architectural components based on business needs

Excellent written and verbal communication skills along with strong desire to work in cross functional teams. Ability to present extremely complex technical information in a business-friendly manner

A passion for staying up to date with the latest trends and advancements in the field

Team player who can coach and be coached as needed. Openness to adapting your approach for the betterment of the team

Strong technical ability and eagerness to learn new technologies and skills

Attitude to thrive in an entrepreneurial, fast-paced environment

EDUCATION & EXPERIENCE

High School Diploma or equivalent preferred

BS in computer science, statistics, or operations research or related technical discipline preferred

Minimum 3 years’ experience in an analytics or data engineering role.

PHYSICAL DEMANDS

Continuous sitting and typing for extended periods

Occasional reaching/working overhead, climbing or balancing, stooping and occasional lifting of up to 25 pounds may be required.

WORK SCHEDULE

This is an exempt position which requires a work schedule that will achieve the results and objectives identified by the company. Generally the schedule for this position will be 8 am-5 pm, Monday through Friday, with one hour for lunch. Nights and weekends may be worked at based on current project and implementation needs, deadlines, and workload. Employee is expected to come to work on time and adhere to accepted time-off policies.

WORK ENVIRONMENT

The environment is an office setting. Dress attire is casual but professional in an office setting. All employees are required to wear “Radwear” (apparel with company logo) at all times once the initial supply (at company expense) has been received.