Salesforce Developer

CareerCircle
Kansas City, MO, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
0 years minimum
Compensation
$110,000.0 - $145,000.0
Working hours
Regular working hours

Tech stack

Sql Data Warehouse Artificial Intelligence BigQuery Cloud Computing Cloud Database Continuous Integration Data Architecture Information Engineering Data Infrastructure Data Structures Data Warehousing Dimensional Modeling
+18 more
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

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

About the company

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

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