Senior Data Engineer – Streaming, Analytics & Visualization

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Job Description : 

JOB SUMMARY

***CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***

As a Senior Data Engineer, you will design and operate real‑time and analytical data pipelines that power enterprise reporting and decision‑making, including security and operational telemetry data. You will be responsible for ingesting, modeling, and optimizing high‑volume streaming and batch data in Azure Data Explorer (ADX), enabling fast, reliable analytics at scale.

This role blends deep data engineering with analytics enablement. You will structure and transform data using modern cloud and streaming technologies ( Kafka, Cribl, Azure Data Factory), applying medallion architecture principles to ensure data quality, performance, and governance across the full data lifecycle.

A core responsibility is translating engineered data into business‑ready insights by developing curated datasets, analytics, and Power BI (and Tableau) dashboards used by internal teams and leadership. Success in this role requires strong proficiency in KQL, SQL, and Python, experience optimizing ADX for analytical workloads, and the ability to partner with stakeholders—including security and risk teams—to turn business questions into scalable, high‑impact data products.

ESSENTIAL RESPONSIBILITIES

• Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems

• Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs

• Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs

• Monitor work against production schedule,  provide progress updates, and report any issues or technical difficulties to lead developers regularly

• Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations.

• Collaborate on the design and implementation of data security measures, including access controls, encryption, and data masking

• Mentor other associate and intermediate data engineers as needed

• Perform data analysis and provide insights to support decision-making across various departments

• Stay current with industry trends and emerging technologies in data engineering, recommending new tools and best practices as needed

• Other duties as assigned or requested.

EXPERIENCE

Required

• 5 years of experience in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable, highly available systems

• 5 years of experience in a data engineering, ETL development, or data management role.

• 5 years of experience in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, MongoDB).

• 5 years of experience in data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, Redshift, BigQuery)

Preferred

• 7 years of experience with data pipeline and workflow management tools (e.g., Apache Airflow, AWS Glue, Azure Data Factory).

• 7 years of experience defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities

• 7 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare

• 7 years of experience with cloud platforms (AWS, Azure, GCP) and their respective data services

• 7 years of experience in data governance, data quality, and data security best practices

• 7 years of experience translating requirements, design mockups, prototypes or user stories into technical designs

• 7 years of experience in producing data-related code that is fault-tolerant, efficient, and maintainable

• 7 years of experience structuring and transforming data from multiple source systems.
• 7 years of experience creating data visualizations and dashboards using Power BI or Tableau for internal and external audiences.
• 7 years of experience using Cribl as a steaming and transformation solution.
• 7 years of experience using Azure Data Factory as a transformation solution.
• 5 years of experience using Azure Data Explorer

SKILLS

• Demonstrated ability to achieve stretch goals in