Data Engineer

About Us: 

eSimplicity is a modern digital services company that works across government, partnering with our clients to improve the health and lives of millions of Americans, ensure the security of all Americans—from soldiers and veterans to kids and the elderly, and defend national interests on the battlefield. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that courageously equip Federal agencies with solutions to transform today for a better tomorrow for all Americans. 

Purpose and Scope:  

We're seeking a Data Engineer who can work in a mid-size team of Sr. Data and AIML engineers. The successful candidate will collaborate with ML and Data Engineers to develop data-centric applications. This role requires not only software development expertise but also hands-on technical skills. 

Responsibilities:  

• Responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.  
• Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects.  
• Creates new pipeline development and maintains existing pipeline, updates Extract, Transfer, Load (ETL) process, creates new ETL feature development, builds PoCs with leading data platforms (e.g. Databricks) 
• Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. 
• Assemble large, complex sets of data that meet non-functional and functional business requirements 
• Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes ? 
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using cloud and SQL technologies 
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? 
• Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues 
• Write unit and integration tests for all data processing code. 
• Work with DevOps engineers on CI, CD, and IaC. 
• Read specs and translate them into code and design documents. 
• Perform code reviews and develop processes for improving code quality. 

Required Qualifications:  

• 3+ years of experience building with Azure Data Factory and PySpark 
• Experience building data-centric applications with Databricks or Palantir 
• Experience with CI/CD processes 
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements 
• Bachelor’s degree 

Desired Qualifications:  

• 1+ years of experience in developing coding best practices and frameworks in Data Engineering and Machine Learning 
• Experience working with Agile methodologies and tools such as JIRA 
• Experience in front-end development with Python Flask or similar technology 
• Possession of strong written and verbal communication skills 

Working Environment: 

eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager. 

Occasional travel for training and project meetings. It is estimated to be less than 25% per year.  

Benefits:  

We offer a highly competitive salary and full healthcare benefits. 

Equal Employment Opportunity:  

eSimplicity is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.