Senior Data Engineer

Children's National HospitalSilver Spring, MD
286d$109,116 - $181,854

About The Position

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. Additionally, this role leads efforts in Continuous Integration and Continuous Deployment (CI/CD), driving automation and deployment efficiency. The Senior Data Engineer collaborates 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.

Requirements

  • Bachelor's degree in a quantitative or business field (e.g., Statistics, Mathematics, Engineering, Computer Science).
  • 6+ years of related experience or equivalent experience.
  • 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#, Java, Python, SQL programming languages.
  • Knowledge of Microsoft Azure; Databricks or equivalent.
  • 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.
  • Great facilitation ability to host sessions and elicit ideas from others.
  • Attention to detail.

Responsibilities

  • Helps guide the design and implementation of complex data management procedures around data staging, data ingestion, data preparation, data provisioning, data destruction.
  • 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.

Benefits

  • Full-Time Salary Range: 109116.8 - 181854.4
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