Junior Full Stack Data EngineerMOJO Family of Brands • Alcoa, Tennessee, United States

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Junior Full Stack Data Engineer

MOJO Family of Brands

Alcoa, Tennessee, United States

Alcoa, Tennessee, United States

Über

Overview We are seeking a Junior Full Stack Data Engineer to join our Data & Analytics team. This role is for someone who is genuinely strong with databases and great at connecting things together: you will design and tune the SQL and Snowflake models at the heart of our platform, build and orchestrate the engineering pipelines that move data between systems on AWS, and stitch applications, warehouse, and reporting layers into one coherent, reliable flow. You will also use modern analytics to interrogate data, generate Power BI dashboards and analyses, and contribute to AI-enabled automation of the platform. With roughly three years of professional experience, you will partner with senior engineers and business stakeholders to deliver production-grade data products from ingestion through insight. Responsibilities Data Engineering: design, build, and maintain ELT pipelines that ingest, clean, and transform data from multiple internal and external source systems into Snowflake. Data Modeling & Transformation: develop well-structured, tested, and documented dbt models; write performant SQL for complex transformations across the warehouse. Pipeline Orchestration: own the scheduling, dependency management, and monitoring of engineering pipelines end to end — so jobs run in the right order, failures are caught early, and data lands fresh and on time. Systems Integration: connect things together — build the integrations that move data between source applications, APIs, the Snowflake warehouse, and downstream consumers across AWS, keeping the whole data flow coherent and reliable. Analytics: go beyond reporting — dig into the data to answer real business questions, validate assumptions, and surface trends and anomalies; bring sound analytical judgment to every dataset you touch. Reporting & BI: build and maintain Power BI dashboards and semantic models that stakeholders rely on daily, with clean data models, solid DAX, and clear visual design. Applied AI: use AI/LLM tooling — including MCP servers and AI-assisted development workflows — to automate data tasks, integrate AI capabilities into the platform, and prototype intelligent data services. Engineering Practices: write clean, well-documented, version-controlled code; participate in code reviews; and uphold data quality, testing, and monitoring standards across the stack. Collaboration: work closely with senior engineers, analysts, and business partners to scope problems, present findings, and iterate on solutions. Education & Experience: Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field — or equivalent practical experience; approximately 3 years of professional experience in data engineering, analytics engineering, or a comparable technical role. Technical Skills: Deep database skills with expert SQL, solid relational design, indexing/clustering, and query performance; hands-on experience with Snowflake or a comparable cloud data warehouse; experience building and maintaining dbt models with testing and documentation; AWS core data services (S3, Lambda, Glue, IAM) and integration of applications, APIs, and data stores; Power BI (data models, DAX, dashboards); modern AI tooling (LLM APIs, MCP servers) and AI-assisted workflows; Git and collaborative development workflows; orchestration tools (Airflow, Dagster, or dbt Cloud); Python; Docker; Terraform; experience integrating MCP servers, agents, or AI APIs (e.g., Anthropic, OpenAI); familiarity with dimensional modeling and warehouse design; Snowflake administration such as warehouses, roles, and cost management. Qualifications (expanded) Familiarity with version control (Git) and collaborative development workflows. Strong problem-solving skills and the ability to communicate technical results to non-technical audiences. Salary $75,000-$80,000
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Alcoa, Tennessee, United States

Sprachkenntnisse

English

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