Data Engineer

Description

The company serves the US federal government, helping agencies in defense, national security, public safety, civilian, and military health become stronger, safer, and more effective for the public. Its 13,000+ people work on technology projects for these clients.

The team is part of a technology company within Accenture and is hiring a Data Engineer to build stages of distributed, parallel data processing pipelines. The work covers configuring data connections, parsing, normalization, mapping and modeling, enrichment, and integration with data analytics.

Responsibilities

• Run and maintain data processing pipelines to meet the platform's availability requirements.
• Apply agile practices to the data engineering part of the system development life cycle (SDLC).
• Keep technical documents current, including system design documents (SDDs), standard operating procedures (SOPs), tactics, techniques, and procedures (TTPs), and training material.

Requirements

• A Master's degree in a STEM discipline plus 5 years working as a data engineer, or a bachelor's degree in a STEM discipline plus 7 years working as a data engineer.
• 5 years building distributed, parallel streaming and batch data processing pipelines.
• 5 years programming in Python, Java, or another language.
• 3 years applying agile methods to the data engineering part of the SDLC.
• 3 years developing, operating, and maintaining data processing pipelines in a classified environment.
• 3 years integrating with data SDKs and APIs and with data analytics SDKs and APIs.
• 3 years mapping, modeling, enriching, and correlating classified data.
• 3 years identifying and deduplicating data sources and record types to meet military requirements.
• 3 years working with Git repositories and CI/CD pipelines, such as GitHub and GitLab.
• 1 year working with Python and PySpark.
• 1 year working with Java and its interface to Spark.
• Active TS/SCI clearance is required.

Conditions

Active TS/SCI clearance is required.

The pay range of $134,100 - $180,100 USD applies to roles in California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia, based on local labor costs.

Pay varies by office location, role, skill set, and experience.

Applications are accepted on an ongoing basis, with no fixed deadline.

The company provides equal opportunity to all applicants.

Benefits

• The company offers a broad range of benefits, with details available on its benefits page.