Hiring: Data Engineer Company: Focus Location: Alpharetta, GA Job Posted Time: 2026-09-16 19:23:16 Target Skills & Keywords : Airflow, Azure, CI/CD, Data Pipeline, Feature Store, Fivetran, Git, Machine Learning, Python, SQL, Snowflake, dbt About the job Experience: •4+ years in data engineering or analytics engineering with hands-on experience building and maintaining production level data pipelines. Required Skills: •Data Modelling and Pipeline Management •Design, build, and maintain pipelines that move data from source systems into Snowflake with documented ingestion patterns and alert systems for failures. •Model data at a bronze, silver, gold, and platinum level in dbt with appropriate tests and documentation. •Build and maintain semantic models that translate datasets for natural language querying. •Contribute to the evaluation and selection of which downstream tools align best with the data build based on project and business need. •Translate business questions from other departments into reliable and repeatable data models, working with DnA Lead to scope requirements and inform sequencing. •Interface directly with the data scientist to build models that feed predictive modelling efforts. •Own data quality checks across the pipelines and models built including completeness, quality testing, and thresholds. Qualifications: •Strong SQL proficiency: Experience building and maintaining, and optimizing modular logic in dbt. •Python experience: Proficiency with using python for ingestion logic, data transformation when necessary, and other automation processes such as webscraping. •Demonstrated capacity to take an ambiguous business problem and work backwards to produce models that support effective solutions by creating a list of requirements and working through sprints to deliver. •Strong documentation practices: able to produce and maintain model definitions, lineage documentation, and data dictionaries that enable other developers and business stakeholders. •Collaborative working style: comfortable operating at the boundary between data engineering, analytics, and business teams. •Operational familiarity with streaming or even-driven data patterns. This will become more important and the Data and Analytics function grows. •Exposure to machine learning workflows and feature store development to enable data science workflows. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!