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# Data Engineer

- **Company:** Franklin Templeton Investor Services, LLC
- **Location:** Baltimore, MD, United States
- **Experience:** Expert
- **Salary:** $128,100.0 - $166,200.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Systems Engineering, Automation of Tests, Big Data, Computer Programming, Data Systems, Software Debugging, Distributed Data Store, Monitoring of Systems, Python (Programming Language), Oracle (Applications), DataOps, PL-SQL, SQL Databases, Workflow Management Systems, Data Processing, Apache Spark, Reliability of Systems, Sap Business Objects, Git, Data Lakes, Information Technology, Data Management, Software Version Control, Data Pipelines, Api Management, Control M
- **Published:** September 15, 2026
- **Apply:** https://www.careerjet.com/job/us7b09f2303ed5bd84b74dfcc722392382/eaa

## About the Role

Education: Bachelor's degree in Computer Science, Engineering, or related field.
Work Experience: Experience (6+ years) designing and building enterprise data pipelines and platforms.
Technical Depth: Ability to build or optimize data workflows, not just operate existing systems.
Collaboration: Experience working with business stakeholders to deliver data solutions.
Reporting & BI: Experience translating business requirements into scalable reports and dashboards using BusinessObjects or similar BI tools.
Technical Skills
Strong proficiency in SQL, PL/SQL and data modeling for large datasets.
Experience with cloud platforms (AWS) and relational/distributed databases (e.g., Oracle).
Programming skills in Python and/or Spark for data processing.
Experience with data pipeline tools (Informatica or equivalent).
Experience with orchestration tools such as Control-M or Airflow.
Experience designing and delivering business-facing reports/dashboards using BusinessObjects (or similar BI tools) based on large, governed datasets.
Experience with version control (Git) and CI/CD pipelines for automated build, test, and deployment.
Experience with data observability, monitoring, and reliability practices (e.g., SLA tracking, anomaly detection, lineage).
Soft Skills
Able to communicate complex data concepts clearly to non-technical stakeholders.
Strong problem-solving mindset demonstrated through diagnosing and resolving data issues.
Ability to influence decisions across teams in a cross-functional environment.
Nice to Have (Preferred Skills)
Experience with modern lakehouse architectures (Iceberg, Delta Lake).
Domain knowledge in financial services or investment datasets.
Exposure to data observability or monitoring tools.
Experience using AI-assisted development tools.
Work Schedule & Location
This role will work a hybrid schedule 3 days/week in any our Stamford, CT or Baltimore, MD offices.

## Description

We are seeking a Data Engineer to design, build, and optimize scalable data platforms across transaction systems and cloud-based lakehouse architectures. This role is central to building a governed, high-performance data ecosystem that supports analytics and AI-driven use cases.
You will collaborate with global teams to translate business requirements into reliable, scalable data solutions.
How you will add value
Build and own data products with clearly defined SLAs, quality metrics, and consumer-facing interfaces (APIs, reports, or datasets) used for sales and analytics decision making.
Develop and optimize data processing using SQL, PL/SQL, and Python for large-scale datasets.
Improve pipeline performance and manage cost through efficient design and optimization.
Partner with stakeholders to translate requirements into scalable data solutions.
Ensure data quality by embedding validation, monitoring, and governance controls.
Troubleshoot issues and drive root cause resolution to improve system reliability.
Implement automated testing, validation, and CI/CD pipelines to ensure reliable deployment of data pipelines and services.
Define and enforce data/API contracts to ensure consistency, reliability, and backward compatibility across systems.
AI Fluency
We expect the candidate to apply an AI-first mindset in both development workflows and system design.
Use AI tools for coding, testing, debugging, and documentation while validating outputs.
Incorporate AI into system design and evaluate trade-offs.
Automate repetitive workflows using AI-powered solutions.
Apply structured prompting techniques to solve complex problems.
Ensure AI-assisted solutions are production-ready with testing and monitoring.
What will help you be successful in this role, MANTECH is seeking a motivated, career-driven, and customer-focused Senior Systems Engineer to join our team in Laurel, MD. You will play a critical role in supporting the enterp…

 + 3 days ago