Data Engineer

🕒 July 17

🏛️ District of Columbia, Virginia, +1 more states – Remote

🏛️ District of Columbia – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $93.4k - $176.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Accenture Federal Services

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2017

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

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 data science, analytics, and business-unit teams to design and implement data solutions aligned with business goals • Implement validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability • Contribute to data governance, security, and automation initiatives • Leverage AWS services including S3, Glue, Lambda, and Redshift to build and deploy cloud-native data solutions

🎯 Requirements

• Experience with cloud-based ETL services, such as AWS Glue, Google Cloud Dataflow, or Azure Data Factory • Experience with cloud data warehousing technologies, such as Amazon Redshift, Google BigQuery, or Snowflake • Experience with Python, SQL, Spark, and PySpark • Experience with data platforms such as Databricks, Palantir, and Snowflake • Familiarity with data orchestration and data quality processes • Must be a US Citizen • US work authorization that does not now or in the future require visa sponsorship • Secret clearance or above (bonus) • Experience working with federal clients (bonus) • Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi (bonus) • Experience with Docker/Kubernetes, Hadoop/Spark, NiFi, and ELK stack (bonus) • Experience with Agile/Scrum (bonus) • Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar (bonus)

🏖️ Benefits

• Hands-on experience • Certifications • Industry training • Collaborative and caring community • Equal employment opportunity • Reasonable accommodations for disabilities or religious observances