Data Engineer

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, and 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.

Our client is a customer-driven company that values innovation, collaboration, curiosity, and delivering results. The team works together to build products and experiences that make a meaningful difference for customers.

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

What You'll Do

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....