Data Engineer

The posting, as Accenture Federal Services wrote it

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

Key Responsibilities

Core Data & AI Pipeline Development

• Build, maintain, and optimize batch and streaming data pipelines to support analytics and AI workloads.
• Ingest structured, semi structured, and unstructured datasets from APIs, databases, SaaS systems, streaming feeds, and file based sources.
• Transform, clean, enrich, and standardize data using Dataflow (Apache Beam), Dataproc (Spark), BigQuery SQL, and Python.
• Deliver high quality curated datasets into BigQuery for analytics, reporting, and machine learning training.
• Build and maintain ML ready feature pipelines supporting Data Scientists and ML Engineers.

Data Quality, Governance & Operations

• Implement data quality checks, schema validation, and automated testing within pipelines.
• Monitor pipeline health and apply observability best practices using Cloud Monitoring and Cloud Logging.
• Apply governance, security, and compliance standards including IAM roles, encryption, data masking, and auditing.
• Enforce schema evolution policies, metadata management, and lineage tracking using Dataplex/Data Catalog.
• Maintain documentation for datasets, transformations, pipeline logic, and operational procedures.

Engineering & Collaboration

• Write efficient, maintainable Python, SQL, Beam, and Spark code.
• Manage ingestion flows using Pub/Sub, GCS, APIs, Datastream, and database connectors.
• Optimize BigQuery tables, partitions, clustering, materialized views, and query performance.
• Implement and maintain DAGs with Cloud Composer (Airflow).
• Troubleshoot pipeline failures, latency issues, and data quality gaps.
• Participate in code reviews, architectural discussions, and agile sprint ceremonies.
• Collaborate with Data Architects, Data Scientists, ML Engineers, and business stakeholders.
• Develop and maintain Infrastructure as Code using Terraform and CI/CD deployment pipelines.

Required Qualifications

• Must be a U.S. Citizen with ability to obtain a Public Trust clearance.
• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or related technical field.
• 3–6+ years of hands on experience in data engineering or a similar t

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ions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

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