Data Engineer

Global Alliant is seeking a talented Data Engineer to contribute to our work supporting the Centers for Medicare and Medicaid Services (CMS).
Full-time Remote Upto $130,000/annually Have to undergo a public trust clearance.
Responsibilities: As part of a team involved in a project doing data analytics to support Innovation Center advanced payment models, a successful Data Engineer candidate will have the following responsibilities: • Maintain and enhance processing pipelines using tools and frameworks in the AWS ecosystem.
• Maintain architecture specifications and detailed design documentation.
• Conduct data engineering functions including data extraction, transformation, loading, and integration in an AWS environment leveraging Snowflake and Databricks.
• Work with large data sets and other Data Engineers and Data Scientists on data analysis tasks.
• Implement and configure big data technologies as well as tune processes for performance at scale.
• Design and build ETL pipelines to automate the ingestion and data migration of structured and unstructured data.
• Work with DevOps engineers on CI, CD, and IaC (Continuous Integration, Continuous Delivery, and Infrastructure as Code) processes; read specifications and translate them into code and design documents; and perform code reviews and develop processes for improving code quality.
• Be proactive and constantly pay attention to the scalability, performance, and availability of our systems.
Basic Qualifications: MS Degree in Computer Science or a closely related field and 3 years of experience as Data Engineer, Software Developer, Tech Lead, or in a related position (or BS with 5 years of relevant experience) 3 years' experience with Python, or another OOP language.
2 years' Experience with NoSQL products, such as JSON.
2 years' experience with advanced SQL features - regular expressions, analytical functions (e.
g.
, RANK, PARTITION, LEAD, LAG, etc.
).
1 year experience using a query planner and database metrics to analyze and optimize queries, table structure, indices, and partitioning strategies.
Candidate must reside in the United States and be able to obtain a Public Trust clearance.
Candidate must have resided in the US for 3 of the last 5 years.
Preferred Qualifications: • Experience in the healthcare domain or with healthcare quality data sets, specifically CMS claims data.
• Experience with Databricks and Snowflake, particularly Databricks Workflows and Snowflake Data Shares.
• Familiarity with other query languages - e.
g.
, XPath, MongoDB query language, Elasticsearch query language, JSON Path, SPARQL, etc.
• Experience with the following technologies is also highly desirable: Airflow, Typescript, JavaScript • Federal Government contracting work experience.
• Prior experience working remotely full-time.
If interested in applying for the position, please reach out to me at mayuri.
s@globalalliantinc.
com Global Alliant, Inc.
provides equal employment opportunities(EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
We especially invite women, minorities, veterans, and individuals with disabilities to apply.