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# Salesforce Developer

- **Company:** CareerCircle
- **Location:** Richmond, VA, United States (Remote available)
- **Salary:** $124,800.0 - $166,400.0
- **Contract:** Temporary to permanent
- **Skills:** Sql Data Warehouse, Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Data Cleansing, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Warehousing, Identity and Access Management, Python (Programming Language), Machine Learning, Microsoft Dynamics, Netsuite, Operational Data Store, QuickBooks (Software), Software Tools, Cloud Services, Sage Accounting, SAP (Applications), SQL Databases, Unstructured Data, Workflow Management Systems, Google Cloud, Data Ingestion, Sql Optimization, Large Language Models, Snowflake, Data Pipelines, Databricks
- **Published:** July 2, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/va/richmond/baaf3ea3-257d-4f5d-a0e9-b8dc87c53b00

## About the Role

Airbyte
Netsuite
Pipelines
Operations
Leadership
Consulting
Automation
Databricks
Scalability
Data Quality
Communication
Data Security
Data Cleansing
Data Pipelines
Apache Airflow
Private Equity
Microsoft Azure
Problem Solving
Client Services
Cost Management, Cloud Data Platforms: Proven experience designing and implementing cloud-native data architectures (Snowflake, AWS preferred)

Data Engineering: Background building automated ingestion pipelines and workflow orchestration for large datasets

Data Domain Expertise: Exposure to transaction, ERP, or financial/accounting data structures

AI-Enabled Engineering: Experience or interest in using AI tools (LLMs, coding assistants) to accelerate development, automate data quality, and optimize pipelines

In more detail for required skills:

Advanced SQL + Python for end-to-end data pipeline engineering (building, transforming, and automating production pipelines)

Hands-on experience with modern data stacks (Snowflake/Databricks + ETL tools like Fivetran/Airbyte + orchestration tools like Airflow/Prefect)

AI/LLM integration in data workflows (using AI for data cleaning, anomaly detection, pipeline monitoring, and development acceleration)

Strong data quality and reliability mindset (handling messy, inconsistent source data and implementing automated validation/monitoring)

Ability to work independently and own projects end-to-end (single-threaded ownership of pipeline builds, client onboarding, and ongoing reliability across multiple environments)

ERP system experience (NetSuite, SAP, QuickBooks, Sage, Dynamics)

Financial / accounting data familiarity (GL, AR/AP, payroll, inventory, POS)

AI-powered pipelines (LLM classification, anomaly detection, entity resolution)

Consulting or multi-client services experience

Exposure to private equity / transaction services environments

Cloud fundamentals (AWS, Azure, GCP - storage, IAM, cost management)

Data security/compliance (SOC 2, GDPR)

Skills

Python, Sql, cloud data warehouse, data pipeline, machine learning

Additional Skills & Qualifications

3-7 years of data engineering experience in production environments

Strong problem-solving ability with messy/unstructured datasets

Ability to own pipeline reliability and data accuracy end-to-end

Comfortable evaluating new tools and incorporating emerging AI capabilities

Strong communication skills when working with client finance and IT teams

## Description

Data Warehousing
Data Engineering
Client Onboarding
Anomaly Detection
Business Valuation
Workflow Management
Amazon Web Services
Financial Accounting
ERP Systems Knowledge
Cloud-Native Computing
Full Stack Development
Operational Data Store
Artificial Intelligence
Business Transformation
Ongoing Reliability Tests
SQL (Programming Language)
Snowflake (Data Warehouse)
Enterprise Resource Planning
Extract Transform Load (ETL)
Python (Programming Language)
QuickBooks (Accounting Software)
General Data Protection Regulation (GDPR), Seeking a Data/AI Engineer to build and scale automated data pipelines across a diverse portfolio of client environments. This individual will connect messy, real-world financial and operational data from systems like ERPs, CRMs, and flat files into clean, structured cloud data platforms.

The role is highly hands-on, focused on building reliable ELT pipelines, implementing data quality frameworks, and orchestrating workflows across multiple clients. A key component of the position is leveraging AI to automate traditionally manual data engineering tasks - including data cleaning, anomaly detection, and pipeline monitoring.

This engineer will also play a critical role in onboarding new clients, standing up cloud data environments, and building reusable templates and frameworks to accelerate delivery.

Top Skills' Details Continued:

Python & SQL: Strong hands-on experience building, deploying, and maintaining scalable data pipelines using Python and SQL in production environments, 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
TEKsystems
Richmond, VA*Remote
Finance
Airbyte
Netsuite
Pipelines
Operations
Leadership
Consulting
Automation
Databricks
Scalability
Data Quality
Communication
Data Security
Data Cleansing
Data Pipelines
Apache Airflow
Private Equity
Microsoft Azure
Problem Solving
Client Services
Cost Management
SAP Applications
Data Warehousing
Data Engineering
Client Onboarding
Anomaly Detection
Business Valuation
Workflow Management
Amazon Web Services
Financial Accounting
ERP Systems Knowledge
Cloud-Native Computing
Full Stack Development
Operational Data Store
Artificial Intelligence
Business Transformation
Ongoing Reliability Tests
SQL (Programming Language)
Snowflake (Data Warehouse)
Enterprise Resource Planning
Extract Transform Load (ETL)
Python (Programming Language)
QuickBooks (Accounting Software)
General Data Protection Regulation (GDPR)
+0


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