Data Engineer

Accenture Federal Services•Columbia, MD

1d•Onsite

About The Position

At Accenture Federal Services, our mission is to strengthen and safeguard the US federal government, improving lives through technology and ingenuity. We are a community of over 13,000 professionals dedicated to serving clients across defense, national security, public safety, civilian, and military health organizations. As a technology company within the global Accenture network, we are recognized as a Glassdoor Top 100 Best Place to Work. We foster a collaborative and supportive environment where employees are empowered to grow, learn, and thrive through hands-on experience, certifications, and industry training. Join us to drive meaningful change and advance critical missions for the government. Accenture Federal Services is looking for a Data Engineer to join our team and support a client in Columbia, MD.

Requirements

3 years’ experience in data engineering or platform engineering roles
Prior experience with data catalog platforms (e.g.: Open Metadata, Collibra, Alation, etc.)
Knowledge of data warehouse and lake architectures
Knowledge of cloud platforms or Kubernetes (e.g.: CKA, AWS Solutions Architect, etc.)
Experience with data pipeline tools (e.g.: Apache Airflow, GitHub, GitLab, etc.)
Must have an active TS/SCI level clearance and a willingness to sit for a polygraph

Nice To Haves

Ability to communicate design solutions with development/engineering team and customer
Experience with data governance, data normalization or metadata management initiatives
Building out and using CI/CD pipelines
Experience with standard AI models and practices
Understanding of loop logic and lang graph

Responsibilities

Deploy and configure Open Metadata using Docker, Kubernetes, and Helm charts
Manage infrastructure across cloud platforms (AWS/Azure/GCP) or on-premises environments
Implement infrastructure as code using Terraform or similar tools
Ensure high availability, disaster recovery, and system scalability
Configure and maintain connectors for diverse data sources including databases (MySQL, PostgreSQL, Oracle, SQL Server), data warehouses (Snowflake, BigQuery, Redshift), BI tools (Tableau, PowerBI), and pipeline orchestrators (Airflow, dbt)
Develop custom connectors and integrations using Python
Implement and monitor metadata ingestion workflows
Troubleshoot connectivity and data lineage issues
Administer MySQL/PostgreSQL metadata store including backup, recovery, and performance tuning
Manage Elasticsearch for search functionality and optimize query performance
Monitor database health and implement scaling strategies
Configure authentication mechanisms (SSO, OAuth, LDAP/Active Directory)
Implement role-based access control (RBAC) and data access policies
Ensure encryption at rest and in transit
Maintain compliance with data governance standards and regulations
Set up monitoring using Prometheus, Grafana, and logging tools
Track system performance, ingestion metrics, and data quality indicators
Respond to incidents and perform root cause analysis
Create and maintain operational documentation and runbooks
Partner with data stewards, engineers, and analysts to understand metadata requirements
Train users on data catalog features and best practices
Support data governance initiatives and policy implementation
Participate in change management and platform upgrades