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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data engineer - **Company:** DUO2 LLC - **Location:** Minnesota City, MN, United States - **Salary:** $120,640.0 - $141,440.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Java (Programming Language), Agile Methodology, Airflow, Amazon Web Services, Microsoft Azure, Bash Shell, Big Data, Software as a Service, Cloud Computing, Cloud Database, Computer Programming, Databases, Continuous Integration, Data Architecture, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Sharing, Data Systems, Data Visualization, Database Design, Database Development, Digital Assets, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, Meta-Data Management, Microsoft SQL Server, Performance Tuning, Query Optimization, Power BI, Azure Data Lake, SQL Databases, Data Streaming, Tableau (Software), Talend, Scripting, Data Storage Technologies, Delivery Pipeline, Snowflake, Data Build Tool (dbt), Apache Spark, Data Lakes, Vba Programming Language, Data Analytics, Data Management, Restful APIs, Looker Analytics, Software Version Control, Data Pipelines - **Published:** June 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8d2f0e62d788eb2c ## About the Role Do you have experience in System tuning?, * Hands-on experience with Snowflake, including data modeling, virtual warehouses, roles/permissions, and performance optimization - this is a must-have skill. * Proficiency with dbt (data build tool): writing modular SQL models, tests, macros, documentation, and working within dbt Cloud or dbt Core. * Experience with Fivetran for configuring, managing, and monitoring data connectors and ELT pipelines. * Proven experience with cloud platforms such as AWS or Azure for data storage, processing, and orchestration. * Strong programming skills in Python, Bash, or similar scripting languages; familiarity with Java or VBA is a plus. * Demonstrated expertise in advanced SQL development for complex transformations, database design, and query optimization. * Experience with big data frameworks such as Apache Spark, Hive, or Hadoop ecosystem components is advantageous. * Familiarity with ETL/ELT tools such as Informatica or Talend in addition to modern ELT approaches via Fivetran. * Knowledge of BI/visualization tools such as Looker, Power BI, or Tableau for building dashboards that support business decisions. * Experience working within Agile teams; strong analytical skills with ability to translate business requirements into scalable technical solutions. Preferred Qualifications * Snowflake SnowPro Core Certification or equivalent. * dbt Certification or demonstrated portfolio of dbt projects. * Experience with workflow orchestration tools such as Apache Airflow, Prefect, or dbt Cloud's built-in scheduling. * Familiarity with data quality frameworks, observability tools (e.g., Monte Carlo, Great Expectations), and metadata management. * Exposure to Azure Data Lake, Hadoop, or Apache Hive for hybrid or legacy data environments. ## Description We are seeking a dynamic and innovative Data Engineer to join our team and drive the development of scalable, high-performance data solutions. In this role, you will leverage modern cloud-native data platforms - including Snowflake, dbt (data build tool), and Fivetran - to build robust data pipelines, optimize data storage, and enable insightful analytics. Your expertise will help transform complex datasets into actionable insights, empowering decision-making across the organization. This position offers an exciting opportunity to work with cutting-edge tools and methodologies in a fast-paced, collaborative environment dedicated to technological excellence. Core Technologies * Snowflake - Cloud data warehousing, performance tuning, and data sharing * dbt (data build tool) - Data transformation, modeling, testing, and documentation * Fivetran - Automated data integration and pipeline orchestration, * Design, develop, and maintain scalable data pipelines using Fivetran for automated ELT ingestion and dbt for SQL-based data transformation and modeling within Snowflake. * Build and optimize cloud data warehouses and data lakes on Snowflake; implement efficient schema design, clustering keys, and query performance tuning. * Author, test, and document dbt models (staging, intermediate, and mart layers) following software engineering best practices including version control and CI/CD integration. * Configure and manage Fivetran connectors to reliably sync data from diverse SaaS, database, and event sources into the central data platform. * Implement database solutions using Microsoft SQL Server, Snowflake, and other relational systems; ensure efficient database design and performance optimization. * Collaborate with cross-functional teams to integrate data sources via RESTful APIs and other interfaces for seamless end-to-end data flow. * Develop data models to support machine learning algorithms and advanced analytics using SQL and Python within the Snowflake ecosystem. * Maintain comprehensive documentation of data architecture, dbt model lineage, workflows, and processes; uphold best practices in data governance, security, and compliance. * Participate actively in Agile development cycles; contribute to continuous integration and deployment pipelines for data assets. ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)