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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Salesforce Developer - **Company:** CareerCircle - **Location:** Kansas City, MO, United States - **Experience:** Expert - **Salary:** $110,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Artificial Intelligence, BigQuery, Cloud Computing, Cloud Database, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Structures, Data Warehousing, Dimensional Modeling, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Operational Databases, Salesforce.Com, SQL Databases, Systems Integration, Google Cloud, Data Ingestion, Snowflake, Data Lineage, Google Cloud Functions, Performance Monitor, Star Schema, Database Replication, Data Pipelines, Workday, Amazon Redshift - **Published:** June 13, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/mo/kansas-city/0935930a-3f7b-4b06-b145-674614b55539 ## About the Role Strong data engineering fundamentals - clean, maintainable SQL and Python Experience building and operating production data pipelines Hands-on experience with a cloud data warehouse (BigQuery preferred; Snowflake, Redshift, or similar acceptable) Experience with transformation frameworks (dbt strongly preferred) and layered data architecture (raw * staging * modeled) Solid understanding of dimensional modeling (facts vs. dimensions, star schema design) Experience with ELT / data replication tools (Fivetran or similar) Ability to partner with non-technical stakeholders and translate business needs into scalable data solutions Comfortable owning decisions and operating independently Nice to have Experience with Google Cloud Platform (Cloud Run, Cloud SQL/PostgreSQL, Pub/Sub, Cloud Scheduler, Secret Manager) Experience integrating ERP systems (Viewpoint Vista or similar) and HCM platforms (Workday) Familiarity with CI/CD-driven data workflows and version-controlled transformations Experience managing warehouse cost optimization Experience in construction, engineering, or operations-heavy industries Skills sql server, bigquery, cloud computing, ci/cd pipelines, erp system, Cloud Run, Cloud SQL, Snowflake, Redshift, data replication Top Skills Details sql server,bigquery,cloud computing Additional Skills & Qualifications Experience with Google Cloud Platform (Cloud Run, Cloud SQL/PostgreSQL, Pub/Sub, Cloud Scheduler, Secret Manager) Experience integrating ERP systems (Viewpoint Vista or similar) and HCM platforms (Workday) Familiarity with CI/CD-driven data workflows and version-controlled transformations Experience managing warehouse cost optimization Experience in construction, engineering, or operations-heavy industries ## Description BigQuery Visionary Pipelines Operations Automation Innovation PostgreSQL Warehousing Scalability Star Schema Data Quality Data Lineage Cloud Computing Amazon Redshift Data Warehousing Data Engineering Inventory Staging Data Architecture Publish Subscribe Workday (Software) Naming Conventions Workflow Management Dimensional Modeling Operational Databases Artificial Intelligence Construction Engineering SQL (Programming Language) Engineering Design Process Snowflake (Data Warehouse) Google Cloud Platform (GCP) Enterprise Resource Planning Troubleshooting (Problem Solving), It's a broad role with real ownership, which is both the appeal and the challenge: there isn't a senior engineer above you reviewing every decision. We're looking for someone ready to own the whole platform and confident enough to ask questions when needed. What you'll do: Own the data pipelines Manage automated replication and ingestion into the warehouse Monitor performance, troubleshoot failures, and handle schema changes Add new data sources as business needs evolve Own the platform architecture Maintain and evolve the cloud warehouse architecture Define layering, naming conventions, performance standards, and cost efficiency Ensure scalability across multiple subsidiaries Own the data modeling Design and maintain dimensional models (facts and dimensions) Partner directly with Finance, HR, and Operations leaders to translate business needs into data structures Build models that support accurate, decision-ready reporting Ensure data trust and reliability Build in testing, documentation, and data quality checks Maintain clear data lineage and transparency Ensure stakeholders trust the accuracy of reporting, Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. Related Jobs Data Engineer Actalent Kansas City, MO*On-Site CI/CD Finance BigQuery Visionary Pipelines Operations Automation Innovation PostgreSQL Warehousing Scalability Star Schema Data Quality Data Lineage Cloud Computing Amazon Redshift Data Warehousing Data Engineering Inventory Staging Data Architecture Publish Subscribe Workday (Software) Naming Conventions Workflow Management Dimensional Modeling Operational Databases Artificial Intelligence Construction Engineering SQL (Programming Language) Engineering Design Process Snowflake (Data Warehouse) Google Cloud Platform (GCP) Enterprise Resource Planning Troubleshooting (Problem Solving) +0 Salesforce Developer Data Engineer Actalent Kansas City, MO*On-Site CI/CD Finance Teamwork BigQuery Visionary Pipelines Operations Automation Innovation Scalability Proactivity Star Schema Data Quality Collaboration Data Ingestion Self-Motivation Data Structures Decision Making Amazon Redshift Data Warehousing Data Engineering Inventory Staging Data Architecture Publish Subscribe Influencing Skills Workday (Software) Naming Conventions Data Infrastructure Dimensional Modeling Business Requirements Artificial Intelligence Construction Engineering SQL (Programming Language) Engineering Design Process Snowflake (Data Warehouse) Google Cloud Platform (GCP) Influencing Without Authority Troubleshooting (Problem Solving) +0 ## Related Videos - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Destigmatizing the Workplace: Building Real Inclusion](https://www.wearedevelopers.com/videos/1492-destigmatizing-the-workplace-building-real-inclusion) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Making Data Warehouses fast. 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