Data Platform Engineer

Accenture Federal Services•Arlington, VA

1d•Hybrid

About The Position

At Accenture Federal Services, the Data Platform Engineer designs, develops, and deploys modern data and analytics applications in secure, mission-critical environments. The role focuses on migrating legacy business intelligence and dashboard tools, such as Qlik, to modern cloud-native solutions, including Databricks and Palantir Foundry. The engineer uses CI/CD pipelines and GitLab to deliver high-quality code while following security policies and compliance standards. Work may take place in classified or air-gapped environments, such as NIPR and SIPR networks, and requires the ability to work across the technology stack and adapt to new tools. The position requires an active Secret clearance and the ability to work onsite near Arlington, Virginia, 20% of the time.

Requirements

At least 3 years of experience in one or more of the listed areas: working across platforms, Infrastructure as Code tools, and data pipeline engineering; Python scripting and knowledge of other modern programming languages; developing and delivering code using modern CI/CD pipelines and version control systems such as GitLab; or operating under strict security and compliance requirements, such as in federal environments.
Ability to work onsite near Arlington, Virginia, 20% of the time.
An active Secret clearance.

Nice To Haves

Experience setting up classified or air-gapped environments, such as NIPR/SIPR.
Databricks platform experience, including Databricks Apps and Databricks Genie.
Familiarity with Apache Spark and PySpark.
Direct experience migrating BI/dashboard tools, such as Qlik, to modern cloud-native platforms.
Familiarity with platform governance and security.
Background in Managed Security Services (MSS).

Responsibilities

Design, develop, and deploy modern data and analytics applications in secure, mission-critical environments.
Migrate legacy BI and dashboard tools, such as Qlik, to modern cloud-native solutions, including platforms such as Databricks and Palantir Foundry.
Use CI/CD pipelines and GitLab to deliver high-quality code.
Follow established security policies and compliance standards.
Work across the technology stack and adapt to new tools in classified or air-gapped environments such as NIPR and SIPR networks.