Data Engineer

What you’ll do: Platform Deployment & ManagementDeploy 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 Data Integration & ConnectivityConfigure 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 Database & Search AdministrationAdminister 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 Security & ComplianceConfigure 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 Monitoring & OperationsSet 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 Collaboration & SupportPartner 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

What you’ll need: 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.)

Bonus Points if you have: 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 Cleared :Must have an active TS/SCI level clearance and a willingness to sit for a polygraph As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $103,200 - $196,400 USD What We BelieveAs a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respe