Data Engineer

Summary

Join Analytica as a Data Engineer to support a complex data program for the Defense Health Agency. You will collaborate with developers, data governance, and architects to build robust data pipelines. This remote position, with occasional onsite meetings in San Antonio, TX, requires US citizenship and a Secret clearance. Analytica, a fast-growing company, offers competitive compensation, bonuses, employer-paid healthcare, training funds, and 401k matching. The role involves designing and implementing data architecture frameworks, building data pipelines for structured and unstructured data, translating business needs into data solutions, and monitoring data processes. You will work with various databases and tools, ensuring data interoperability, governance, and quality.

Requirements

• Bachelor’s degree in information technology, Computer Science, Engineering or equivalent technical field
• 3+ years creating data pipelines using cloud based ETL tools, like AWS Glue (AWS preferred)
• 2+ years experience with Python and SQL (Java and Python preferred)
• Experience working on relational NoSQL and SQL databases
• Experience designing and implementing various data pipeline patterns and strategies
• Strong knowledge of data security principles
• Must be a US Citizen and must possess or be eligible for a SECRET clearance

Responsibilities

• Support the Military Health System (MHS) by supporting data engineering that enhance the Military Health System's (MHS) ability to leverage data as a strategic asset
• Ensure data interoperability, governance, and quality to support enterprise-wide decision-making and healthcare optimization play a critical role in designing and implementing data architecture frameworks that enhance the Military Health System's (MHS) ability to leverage data as a strategic asset
• Design and build robust and scalable data pipelines for managing structured and unstructured data using traditional databases (Oracle, PostgreSQL, etc.) or cloud Databases such as Amazon Redshift or AWS Vertica
• Translate business needs into: data architecture solutions development within supported data systems
• Data orchestration pipelines (source to target analysis & recommendations), data sourcing, cleansing, augmentation and quality control processes within supported data systems
• Prototype, test and integrate new data tools (i.e. data features and functionality) as defined by the product owners and business teams
• Monitor and troubleshoot data import, analysis, and display errors

Preferred Qualifications

Prior experience with DHA M2 or MDR databases, CERNER EHR a strong plus

Benefits

• Employer-paid health care
• Training and development funds
• 401k match
• Opportunities for bonuses