Data Management / Cloud Engineer

Spectraforce Technologies; McLean (VA); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Spectraforce Technologies is seeking a hands-on Data Management / Cloud Engineer to support an AML platform and data engineering initiatives in a hybrid role based in Mclean, VA or Richmond, VA. You will move data, develop ETL pipelines, monitor production jobs, and integrate AML models within a risk-focused environment.

The role emphasizes operating independently with strong technical depth in Ab Initio, Python, SQL, and AWS, plus experience with job schedulers and monitoring tools.

Qualifications

• Must have hands-on Ab Initio experience (Version ~4.0) and strong ETL development skills.
• Proficient in Python and SQL for data processing and integration tasks.
• Experience with AWS cloud environments and data movement in production.
• Understanding of AML platforms and risk data flows is a plus.

Responsibilities

• Provide Production Support for ETL/data movement jobs and ensure scheduled tasks run reliably.
• Develop and enhance ETL pipelines and support AML model integrations.
• Create automation scripts to streamline data retention and governance workflows.
• Collaborate with model teams, upstream/downstream systems, and business stakeholders.

Skills

Ab Initio

ETL development

Python

SQL

AWS Cloud

Tools

Ab Initio 4.0

Redwood

PagerDuty

OneLake

Job description

Job Title: Data Management / Cloud Engineer

Location: Mclean, VA OR Richmond, VA (Hybrid 3 days onsite in every week)

Duration: 8 Months

Job Description

We are hiring a hands‑on Data Management / Cloud Engineer to support our AML (Anti‑Money Laundering) platform. The role focuses on data movement, ETL development, production monitoring, and AML model integrations.

You will be working in the Risk division supporting a third‑party AML platform (Actimize) within a collaborative team environment.

This is an individual contributor role requiring strong technical expertise and the ability to work independently.

Key Responsibilities

Production Support

• Monitor and manage ETL/data movement jobs.
• Ensure scheduled jobs run successfully.
• Investigate and resolve job failures.
• Perform root cause analysis.
• Coordinate with model teams, upstream/downstream systems, and business stakeholders.
• Respond to alerts via monitoring tools.

Development & Enhancements

• Develop and enhance ETL pipelines using Ab Initio.
• Support new AML model implementations.
• Work within established internal development frameworks.
• Support AML alert mapping and workflow integrations.
• Collaborate with internal teams and external AML platform partners.

Automation & Compliance

• Develop automation scripts using Python.
• Support data retention workflows (5‑7 years based on regulatory requirements).
• Ensure compliance with data governance and regulatory standards.

Required Technical Skills

• Ab Initio (Mandatory - Non‑negotiable)
• Strong hands‑on ETL development experience
• Python
• SQL
• AWS Cloud experience (working within cloud environments)

Environment & Tools

• ETL Tool: Ab Initio (Version ~4.0)
• Cloud: AWS (environment exposure required; no infrastructure build)
• Data ingestion from OneLake
• Job Scheduler: Redwood
• Monitoring & Alerts: PagerDuty
• Internal routing and alert mapping frameworks

Nice to Have

• Financial Services industry experience
• AML domain exposure
• Actimize platform experience
• Experience working in ECE environments