Tooling Strategy: Act as a subject matter expert in the selection and implementation of next-generation analytics platforms and data engineering tools.
Lakehouse & Semantic Architecture: Drive the migration toward a modern data lakehouse and assist analytics engineers with implementation of a universal semantic data model.
Data Quality & Observability Infrastructure: Implement automated data validation, lineage tracking, and end-to-end observability to ensure high data fidelity and pipeline reliability across the enterprise platform.
Proactive Alerting & Executive Intelligence: Support analytics engineers to implement automated orchestration logic and alerting triggers that notify business leaders in real time when key performance metrics cross predefined limits.
Team Mentorship & Support: Guide teammates on modern data engineering practices and architect data flows optimized for consumption by machine learning models and AI applications.
Minimum Qualifications
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field with 7+ years of data engineering experience, including at least 2+ years leading engineering initiatives or architectural design for enterprise systems.
Proven experience integrating common enterprise systems via database connectors or APIs.
Hands-on experience working with a data lakehouse architecture and proven knowledge of tradeoffs associated with data modeling approaches.
Mastery in writing complex, optimized SQL queries and managing relational database schemas.
Experience with modern cloud data platforms, transformation tools, and code-driven orchestration tools (e.g., Apache Airflow, Dagster, Prefect).
Experience with common software tools (e.g., Azure DevOps, GitHub) for CI/CD and version control of data infrastructure.
Preferred Qualifications
Proficiency in Python and PySpark for data engineering, data manipulation, API consumption, and automation scripts.
Experience using Informatica for API and database extraction.
Experience implementing automated data quality, monitoring, and lineage tooling (e.g., Monte Carlo, Great Expectations, Soda, or Databricks Unity Catalog).
Experience building data pipelines for machine learning, natural language processing, or vector database/RAG workflows.
Experience with Docker and Infrastructure-as-Code (Terraform or CloudFormation).
Clearance Requirements
U.S. Citizen
Physical Requirements
Must be able to remain in a stationary position 50%.
Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.
The projected compensation range for this position is $128,800.00-$214,500.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.
