Salesforce Developer
Role details
Job location
Tech stack
Job 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
Requirements
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