Enterprise Data Engineer - Security Clearance Required

$108,500 - $214,300/Yr

Accenture - Tysons, VA

Full-time - Mid Level

Tysons, VA

10,001+ employees

Professional, Scientific, and Technical Services

About the position

The Data Engineer position at Accenture Federal Services focuses on developing tools, code, and services for data engineering activities that involve both structured and unstructured data. The role is essential for executing data ingestion, formatting, and transformation tasks to support advanced analytics and mission objectives for various federal government clients. The position emphasizes collaboration with data scientists and engineering teams to optimize data pipelines and ensure data integrity while adhering to best practices in ETL processes.

Responsibilities

• Design and optimize Data Pipelines using Spark, Apache Iceberg, Trino, OpenSearch, Lucene, EMR cloud services, NiFi and Kubernetes containers.
• Ensure the pedigree and provenance of the data is maintained such that the access to data is protected.
• Clean and preprocess data to enable access for advanced analytics.
• Collaborate with enterprise working groups to advance the state of data standards.
• Collaborate with the engineering team, data stewards, and mission partners to aid in getting actionable value out of the data holdings.
• Collaborate with software engineers to update, configure, and maintain data services based on the requirements.
• Conduct quarterly analysis and provide recommendations for data tools that support data functions within Viking, Indexing and ODM on the new environment.
• Provide support that may include administration and performance tuning of data tools to keep current for continuous RMA efforts.

Requirements

• 4+ years of experience with data engineering.
• Experience with data lifecycle engineering and development and maintenance of extract, transform and load (ETL) tools and services.
• Experience with Cloud and on-prem data storage and processing solutions.
• Experience with data engineering programming (Python, SQL, Spark or similar).
• Experience with COTS and open-source data engineering tools such as ElasticSearch, NiFi or similar.
• Experience with Agile/Scrum.

Nice-to-haves

• Bachelors degree
• Experience with Software engineering.

Benefits

• Comprehensive health insurance
• 401(k) retirement plan
• Flexible work arrangements
• Professional development opportunities
• Diversity and inclusion programs