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Lead Data Engineer (Palantir or Databricks) at Accenturefederalservices
AccenturefederalservicesWashington, DC·11h ago
LeadFull-timePythonAWSGCPAzureKubernetesDockerElasticsearchData ScienceAgileScrum
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to join Accenture Federal Services, a technology company within global Accenture. This role focuses on building and maintaining scalable, enterprise-grade data pipelines using Databricks, Spark, and cloud-native technologies.
Key Responsibilities
- →Define and own the end-to-end architecture for scalable, enterprise-grade data pipelines using Databricks, Spark, and cloud-native technologies.
- →Drive the technical roadmap for Databricks and/or Palantir Foundry, including best practices, governance, performance optimization, and tooling standards.
- →Build, optimize, and maintain distributed data processing workflows that support large-scale workloads and mission-critical analytics.
- →Architect and implement data integration patterns across APIs, databases, SaaS systems, and cloud storage environments.
- →Lead engineering reviews, mentor junior and mid-level engineers, and establish coding, observability, and reliability standards across the team.
- →Partner with data science, analytics, and business teams to define future-state architecture and align data solutions with strategic objectives.
- →Implement robust data quality frameworks, monitoring, lineage, and observability processes to ensure accuracy and reliability.
- →Design and deploy cloud-native data solutions using AWS services (S3, Glue, Lambda, Redshift) or equivalent platforms.
Requirements
- ✓Data engineering experience, including architecting large-scale cloud-native systems
- ✓Hands-on experience with Databricks or Palantir Foundry in enterprise environments
- ✓Expert-level Python, SQL, Spark, and PySpark
- ✓Strong background with ETL/ELT frameworks and orchestration tools (AWS, GCP, or Azure)
- ✓Proven experience designing distributed systems, optimizing Spark jobs, and building complex data models
- ✓Ability to lead technical decisions, influence stakeholders, and drive engineering standards
- ✓Must be a U.S. Citizen
Benefits
- ★Competitive salary and benefits
- ★Collaborative and caring community
- ★Opportunities for growth, learning, and hands-on experience
- ★Certifications and industry training
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