Role: Senior Data Engineer Remote Work

Must be a US Citizen & have a USA Passport

Primary Responsibilities:

Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads.

Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency

Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration

Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns

Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring

Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies

Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets

Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions

Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability

Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management

Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures

Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

7+ years of experience in data engineering, software engineering, or similar disciplines

Hands-on experience with Databricks or Snowflake

Experience with orchestration tools such as Apache Airflow

Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)

Advanced SQL skills and experience with OLTP and OLAP data modeling

Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns

Familiarity with data governance tools, especially Microsoft Purview

Solid programming expertise in Python, PySpark, or similar languages

If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment

Must be a US Citizen

Preferred Qualifications:

Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data

Experience with containerization (Docker, Kubernetes) for data workloads

Experience supporting machine learning workflows or analytical data science pipelines

Knowledge of distributed computing concepts and performance tuning

This is a remote position.