[Hiring] Data Engineer @Talon Hiring Solutions

Role Description

Talon Hiring Solutions has a client that is looking for a Data Engineer to join the Data and Analytics Team. This team owns the development of insights from extraction that power decision-making. The role will contribute to maintaining and building upon the foundational data layer in Snowflake. The current engineering tech stack includes:

• Fivetran
• Azure Data Factory
• APIs
• Webscraping
• dbt
• Snowflake
• APO
• Cloud Data Ingestion

The ideal candidate has expertise in full stack development and experience with stakeholder engagement and project-based development. This role will work closely with the DnA Lead, internal stakeholders across the business, and technical teams in marketing, operations, and finance that own department-specific tools that depend on data for activation.

*This role is fully remote with some travel to the home office in Birmingham, AL*

Qualifications

• 4+ years of experience in data engineering, analytics engineering, or a similar role building and supporting production data pipelines.
• Strong SQL skills with experience developing modular, scalable, and optimized logic in dbt.
• Proficiency in Python for data ingestion, transformation, automation, web scraping, and other engineering applications.
• Hands-on experience with Snowflake and modern data engineering practices.
• Experience with data integration and ingestion tools such as Fivetran, Azure Data Factory, APIs, or web scraping.
• Familiarity with Git, version control, branching, code reviews, and CI/CD practices.
• Strong understanding of data modeling, data quality, testing, and documentation.
• Ability to take an ambiguous business need, identify requirements, and develop a practical data solution from concept through delivery.
• Strong communication and collaboration skills with the ability to work effectively with both technical and non-technical stakeholders.
• A proactive, problem-solving mindset and the ability to work independently while collaborating closely with a growing Data & Analytics team.
• Experience in retail, CPG, consumer products, or consumer hardware.
• Exposure to streaming or event-driven data.
• Experience with Tableau, Streamlit, or similar analytics and visualization tools.
• Familiarity with machine learning workflows, predictive modeling, or feature stores.
• Experience working with modern data architectures such as medallion architecture.

Requirements

• Build, maintain, and optimize data pipelines that ingest information from multiple source systems into Snowflake.
• Develop and maintain scalable data models using dbt, following bronze, silver, gold, and platinum modeling practices.
• Create reliable data solutions that support reporting, business intelligence, analytics, and downstream applications.
• Use SQL and Python to transform data, automate processes, build ingestion logic, and support integrations such as APIs and web scraping.
• Partner with business teams across Marketing, Operations, Finance, and other departments to understand data needs and translate business questions into practical data solutions.
• Establish and maintain data quality checks, testing, documentation, naming conventions, and data definitions.
• Monitor pipelines, troubleshoot failures, and document root causes and solutions to continually improve data reliability.
• Build semantic models that make data easier to understand and use, including supporting natural-language querying.
• Collaborate with the Data & Analytics Lead and Data Scientist to develop datasets that support predictive analytics and machine learning initiatives.
• Participate in project planning, requirements gathering, sprint development, code reviews, and other software development practices.
• Help evaluate and implement data tools and technologies as Moultrie's data and analytics capabilities continue to grow.