The Senior Data Engineer is responsible for designing, developing, and operationalizing advanced cloud data pipelines to facilitate seamless data consumption for reports, advanced analytics, and AI initiatives. This role involves overseeing the entire data lifecycle, including data ingestion, transformation, validation, and quality assurance. The Senior Data Engineer ensures the optimization and orchestration of data pipelines to handle high-volume and high-performance requirements effectively.

In addition to cloud-native engineering, this role plays a critical part in data modernization efforts, including data migrations from legacy systems into modern electric health record systems, developing and managing data extracts and conversions, and ensuring alignment within a standard data architecture. A strong understanding of HL7 interfaces is essential to support interoperability and real-time data exchange across clinical systems.

The Senior Data Engineer also leads efforts in Continuous Integration and Continuous Deployment (CI/CD), driving automation and deployment efficiency. They collaborate with cross-functional teams to align data solutions with business needs, provide strategic insights, and mentor junior team members, all while upholding best practices and ensuring data integrity.

Minimum Education

Bachelor's Degree A Bachelor’s degree in a quantitative or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required)

Minimum Work Experience

6 years - Requires deep functional knowledge with 6+ years of related experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required)

Required Skills/Knowledge

Experience with big data; data processing and cloud technologies.
Strong experience diagnosing system issues, engaging in data validation, and providing quality assurance testing.
Experience with data manipulation; Data mining.
Experience working in production cloud infrastructure.
Experience with C# (programming language); Java (programming language); Programming concepts; Programming tools; Python (Programming Language); SQL (programming language).
Knowledge of Microsoft Azure; Databricks or equivalent.
Seeks to acquire knowledge in area of specialty.
Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.
Ability to work independently.
Demonstrated analytical skills.
Demonstrated project management skills.
Demonstrates a high level of accuracy, even under pressure.
Demonstrates excellent judgment and decision-making skills.
Great verbal and written communication skills, communicate complex findings in a clear and understandable manner
Great facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation
Attention to detail.
Communicate complex findings in a clear and understandable manner
Collaborate effectively with cross-functional teams
Adapt to changing priorities and thrive in a dynamic environment

Functional Accountabilities

Helps guide the design and implementation of complex data management procedures around data staging, data ingestion, data preparation, data provisioning, data destruction, (scripts, programs automation, assisted by automation etc.)
Provides guidance to data engineering in the design, development, implementation, testing, documentation, and preparation of large scale, high volume, high performance data structures for business intelligence analysts.
Designs, develops and maintains real time processing applications and real time data pipelines.
Ensure quality of technical solutions as data moves across environments.
Provides senior level knowledge and insight into the changing cloud data environment, data processing, data storage, and utilization requirements for the company and drives the team toward viable solutions.
Develops, constructs, tests, and maintains architectures using advanced programming languages and tools.
Drives ways to improve data reliability, efficiency, and quality and deploys a solution; use data to discover tasks that can be automated.
Performs other duties as assigned.
Complies with all policies and standards.

Primary Location

Maryland-Silver Spring

Work Locations

Inventa Towers

Job

Information Technology

Organization

Miscellaneous

Position Status

R (Regular)

Shift

Day

Work Schedule

8:30-5P

Job Posting

Sep 26, 2025, 1:51:57 AM

Full-Time Salary Range

109116.8

Children's National Hospital

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Senior Data Engineer