Accenture Federal Services
10,000+ employees
Founded 2017
🤖 Artificial Intelligence
🔒 Cybersecurity
🏛️ Government
Artificial Intelligence • Cybersecurity • Government
Accenture Federal Services is a division of Accenture that focuses on delivering technology and consulting services to the U. S. federal government. With capabilities in cloud, cybersecurity, data and artificial intelligence, digital engineering, and emerging technologies, Accenture Federal Services supports federal agencies in achieving mission-critical outcomes through innovation and technological advancement. The company emphasizes building secure, scalable solutions, enhancing decision-making with data-driven insights, and transforming digital infrastructures to meet complex governmental needs. By leveraging advanced R&D and human-centered design, they aim to improve the performance and resilience of government operations.
Data Engineer
🕒 May 12
🏛️ District of Columbia, Washington – Remote
💵 $93.4k - $176.2k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
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Accenture Federal Services
10,000+ employees
Founded 2017
🤖 Artificial Intelligence
🔒 Cybersecurity
🏛️ Government
Artificial Intelligence • Cybersecurity • Government
Accenture Federal Services is a division of Accenture that focuses on delivering technology and consulting services to the U. S. federal government. With capabilities in cloud, cybersecurity, data and artificial intelligence, digital engineering, and emerging technologies, Accenture Federal Services supports federal agencies in achieving mission-critical outcomes through innovation and technological advancement. The company emphasizes building secure, scalable solutions, enhancing decision-making with data-driven insights, and transforming digital infrastructures to meet complex governmental needs. By leveraging advanced R&D and human-centered design, they aim to improve the performance and resilience of government operations.
📋 Description
• Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. • Develop efficient data processing and transformation workflows to support analytics and reporting needs. • Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. • Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. • Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. • Contribute to data governance, security, and automation initiatives within the data ecosystem. • Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment.
🎯 Requirements
• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory) • Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) • Experience with Python, SQL, Spark, and PySpark • Experience with data platforms like Databricks, Palantir, and Snowflake • Familiarity with data orchestration and data quality processes • Must be a US Citizen
🏖️ Benefits
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities
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