Data Engineer

Accenture Federal Services

New 🇺🇸 Columbia, MD

AI Job Summary

Deploy and manage Open Metadata platforms using Docker, Kubernetes, and Terraform across cloud or on-premises environments. Configure data connectors for databases, warehouses, and BI tools; administer metadata stores and Elasticsearch; and implement security, monitoring, and governance policies. Requires three years in DevOps, data engineering, or platform engineering with prior data catalog experience, knowledge of data warehouse architectures, and familiarity with Airflow or dbt. Based in Columbia, MD. Salary $103,200–$196,400.

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Job Description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

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.

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

As 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 respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.

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.

Requesting An Accommodation

Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.

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.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

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Role Data Engineer
Experience 3-4 years
Work type On-site
Location United States

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Accenture Federal Services

Other · United States

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture.

All jobs at Accenture Federal Services Follow employer

Job Overview

Eligibility

United States Right to work in the United States required.

Workplace

On-site

Job Posted:

2 days ago

Job Type

Full Time

Experience

3-4 years

Data Engineer

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