Data Engineer
Columbia, MD
- Pay
USD 103,200–196,400/yearAnnual period assumed — pay source
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 Believe
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Read the full posting
What you’ll work on
Full postingManage infrastructure across cloud platforms (AWS/Azure/GCP) or on-premises environments
Develop custom connectors and integrations using Python
Manage Elasticsearch for search functionality and optimize query performance
From the employer’s posting
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
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
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
What you’ll bring
All qualificationsCore experience
- 3 years’ experience in data engineering or platform engineering roles
- Ability to communicate design solutions with development/engineering team and customer
- Experience with standard AI models and practices
- Prior experience with data catalog platforms (e.g.: Open Metadata, Collibra, Alation, etc.)
- Experience with data governance, data normalization or metadata management initiatives
- Understanding of loop logic and lang graph
Qualification wording
3 years’ experience in data engineering or platform engineering roles
Ability to communicate design solutions with development/engineering team and customer
Experience with standard AI models and practices
Prior experience with data catalog platforms (e.g.: Open Metadata, Collibra, Alation, etc.)
Experience with data governance, data normalization or metadata management initiatives
Understanding of loop logic and lang graph
Tools in this posting
- SQL
- AWS
- BigQuery
- Docker
- Elasticsearch
- Grafana
- Kubernetes
- MySQL
- Oracle
- PostgreSQL
- Power BI
- Redshift
- Snowflake
- Tableau
- Terraform
- Airflow
- Python
- Google Cloud (GCP)
- Azure
- dbt
- SQL Server
Source — Tool mentions in context
- Data Integration & Connectivity - 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
- 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
- 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.)
- Platform Deployment & Management - Deploy and configure Open Metadata using Docker, Kubernetes, and Helm charts - Manage infrastructure across cloud platforms (AWS/Azure/GCP) or on-premises environments
- 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
- Monitoring & Operations - Set up monitoring using Prometheus, Grafana, and logging tools - Track system performance, ingestion metrics, and data quality indicators
- Database & Search Administration - Administer MySQL/PostgreSQL metadata store including backup, recovery, and performance tuning - Manage Elasticsearch for search functionality and optimize query performance
- 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
- 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:
- 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
Job description
Accenture Federal Services is seeking a Data Engineer to join our team and support our client in Columbia, MD.
What you’ll do:
- Platform Deployment & Management
- 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
- Data Integration & Connectivity
- 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
- Database & Search Administration
- 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
- Security & Compliance
- 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
- Monitoring & Operations
- 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
- Collaboration & Support
- 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
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
Clearance:
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on boards.greenhouse.io. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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 Believe
- Location & working pattern
Columbia, MD
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
More source context
Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
- Status in our records
- Active
- First seen by us
- Oct 7, 2026
- Recorded sightings
- 5
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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