Salesforce Developer

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

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

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type

We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.