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Heaven Hill Brands · 17 hours ago

Data Engineer

Louisville, KY

Full-time

Onsite

Entry, Mid Level

2+ years exp

Heaven Hill Brands is seeking a Data Engineer to build and manage data pipelines from various sources into central repositories. The role involves collaborating with teams to deliver high-quality data products and requires proficiency in data engineering solutions and large language models.

Wine And Spirits

H1B Sponsor Likely

Responsibilities

Build, maintain, and optimize commercial analytics data products and models that support FP&A, Sales, and other commercial teams

Collaborate with the Commercial scrum, IT, and business stakeholders to define requirements, prioritize work, and deliver high-quality data products

Curate enterprise-ready data sources for consumption by Power BI for self-service analytics in the business, as well as ingestion in data science workflows, web applications, and R Shiny or similar tools

Focus on commercial data products that integrate internal financial and sales data with external syndicated sources to support forecasting, performance measurement, and decision-making

Write data pipelines from external and internal commercial data sources into central data locations (data lake / Fabric lakehouse) using SQL, R, and/or Python

Transition legacy OLAP- and SSIS-based workflows into well-documented, transparent, and fully reproducible ETL/ELT environments likely driven by notebook (code + text) solutions within Fabric and related tooling

Write data pipelines from central repositories to enterprise-ready data sources for consumption by web apps, data scientists, analyst professionals, and Power BI semantic models

Work with transparency, best practices, and documentation as guiding principles

Leverage integrated large language models (LLMs) and AI-assisted tooling to accelerate coding, documentation, testing, and ideation of data and analytics solutions

Other duties as required to support changing business needs

Qualification

Data pipelines (ETL/ELT)SQLMicrosoft FabricPythonPower BIRContinuous improvementAI-assisted development toolsInterpersonal skillsTeam player

Required

Bachelor's degree in computer science or related field, or may substitute equivalent experience for educational requirement

Minimum 2 years of experience creating and managing robust data pipelines (ETL/ELT) that follow best practices, including medallion architecture, unit testing, and related standards

Minimum 2 years of experience with database administration (SQL Server, Oracle or similar relational databases)

Programming languages: SQL (required); experience with Python and/or R (preferred)

Knowledge of MS SQL Server, SQL, Reporting Services, Analysis Services, and Integration Services for historical workloads

Experience with Microsoft Fabric, Power BI, and notebook-based development, or a demonstrated ability to learn these quickly

An attitude of continuous improvement and learning

A team player with excellent interpersonal skills who is comfortable working with a business integrated scrum to plan and complete work

Comfortable with 'change as the only constant' and willing to flex as priorities shift; understands that 'other duties as required' is part of the core role

The use of AI-assisted development tools (for example, integrated LLM copilots)

Preferred

R and Python experience

Familiarity with Power BI and semantic model design

Familiarity with R Shiny applications

Understanding of the Posit Team set of applications

Familiarity with data sources used in the spirits industry (Nielsen, NABCA, SRS, distributor data, etc.)

Benefits

Paid Vacation

11 Paid Holidays

Health, Dental & Vision eligibility from day one

FSA/HSA

401K match

EAP

Maternity/Paternity Leave

Company

Heaven Hill Brands

Independent. Family-led. Legacy-built.

Founded in 1934

Bardstown, Kentucky, USA

1001-5000 employees

http://www.heavenhill.com/

H1B Sponsorship

Heaven Hill Brands has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2021 (2)