Data Engineer

Louisville, KY - AFS, United States

Thank you for your interest in joining our team!  At CGB, you can contribute to meaningful work, grow professionally and personally, and belong in a place where everyone has a voice.  

Founded in 1969, CGB Enterprises, Inc. is known as an innovative and progressive leader in the grain and transportation industries.  Today, CGB operates an enterprise with over 100 locations and nearly 2,000 U.S. employees overseeing a diverse family of businesses that provide an array of services for producers and logistics services for an international base of customers. The combination of our assets provides a growing organization that is celebrating over 50 years of strength and stability!

This job is responsible for joining a team to create a data platform for advanced analytics and model building. Our team partners with product managers and data practitioners to design, scale, and deliver comprehensive data solutions to diverse consumers.

In this job, you will:

This list is meant to be representative, not exhaustive nor imply that these are the only duties to be performed by the incumbent in this job.  Some incumbents may not perform all the duties listed or may perform related duties as assigned.  Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

  • Develop data models and data pipelines (ER and Dimensional).
  • Manage data flow from sources through pipeline.
  • Master key internal data sources, schemas, and data semantics.
  • Analyze and organize raw data.
  • Evaluate business needs and objectives.
  • Combine raw information from different sources.
  • Explore ways to enhance data quality and reliability.
  • Identify opportunities for data acquisition.
  • Collaborate with data scientists and architects on several projects.
  • Manage and provide the underlying data for management dashboards.
  • Manage and provide the underlying data for ML/AI systems.
  • Other duties as assigned.

Here's what you'll need to be considered:

Education

Required – Degree in Computer Science, IT, or similar field, or equivalent experience.

Preferred – Master’s Degree and/or Data engineering certification is a plus.

Experience

Required – ETL, Data Modeling, Data Warehousing, and working with large-scale datasets.

Preferred – Azure Data Factory and Databricks.

Knowledge, Skills, and Abilities

  • Strong working knowledge of Data Engineering and the respective tools and technologies (e.g., Apache Spark, Azure Data Factory, Databricks, Parquet Files, Python, SQL DB, Data Lake concepts).
  • Working knowledge of Azure services.
  • Advanced numerical and analytical skills.
  • Proficient computer skills, including working knowledge of Microsoft Office Suite.
  • Excellent interpersonal, oral and written communication skills with the ability to interact with all levels of people within and outside the organization.

Additional information you need to know:

Physical Demands & Requirements

Sedentary work.  Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body.  Sedentary work involves sitting most of the time.  Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

Hearing.  Perceiving the nature of sounds at normal speaking levels with or without correction.  Ability to receive detailed information through oral communication, and to make the discriminations in sound.

The employee is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.

Environmental Conditions

The work environment described here are meant to be representative of those an employee would normally encounter while performing the essential functions of this job.

The physical environment requires the employee to work inside where there are limited extremes to heat and/or cold; moderate noise; a normal office environment.

Travel may be required for trainings and meetings—up to 5%.

The expected base pay range for this role is:

$95,200.00 - $120,400.00

Actual pay offered may vary depending on multiple individualized factors, including work location, job-related knowledge, skills and relevant experience for the job. Pay amount does not guarantee employment for any particular period of time.

Are you ready to make a meaningful career move & an impact at CGB?  Apply today! 

 

Known in our industry for stability and high ethics, CGB Enterprises, Inc. offers a stellar benefits package including: an outstanding 401(k) retirement plan with company contributions, medical, prescription drug, dental, vision, life, & disability benefits, flexible spending accounts, paid leave (holidays, vacation, sick), wellness programs, recognition programs, community involvement opportunities, and much more!

 

CGB Enterprises, Inc. is an Equal Opportunity Employer.  EEO is the Law links in English or Spanish. We are unable to legally hire anyone who is not eligible to work in the United States nor are we able to sponsor visas.

The above is intended to describe the general content of and requirements for the performance of this position. It should not be construed as a detailed description of all the work requirements that may be performed in the job.

 

All Third Party Agencies, Headhunters, and Recruiters

CGB Enterprises, Inc. and its Subsidiaries only forms contracts with recruiters with whom we have an established relationship and with whom we have in place a signed contract. All contact from third parties must go through our Human Resources Department. Any contact made outside of our Human Resources Department by a third party will cancel any future business relationships between the third party and CGB Enterprises, Inc. and its Subsidiaries.

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Category: Engineering Jobs

Tags: Azure Computer Science Databricks Data pipelines Data quality Data Warehousing Engineering ETL Machine Learning Parquet Pipelines Python Spark SQL

Perks/benefits: Flex hours Flex vacation Health care Medical leave

Region: North America
Country: United States

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