eSimplicity · 19 hours ago
ETL Pipeline Developer & Data Engineer
eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans. The role involves collaborating with Product Managers, Designers, and Engineers to develop and maintain back-end integrations for a data and analytics platform.
Health CareInformation TechnologySoftwareTelecommunications
Responsibilities
Create and maintain new and existing data pipelines, Extract, Transform, and Load (ETL) processes, and ETL features using Azure cloud services
Build, expand, and optimize data and data pipeline architectures. Optimize data flow and collection for cross functional teams of database architects, data analysts, and data scientists
Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality
Assemble large, complex sets of data that meet non-functional and functional business requirements
Implement 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
Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Develop and document standard operating procedures (SOPs) for new and existing data pipelines
Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Work 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
Read data specifications and translate them into code and design documents
Perform other duties as assigned
Qualification
Required
All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation
Bachelor's degree in Computer Science, Software Engineering, Data Science, Statistics, or related technical field
8+ years of experience in software/data engineering, including data pipelines, data modeling, data integration, and data management
Expertise in data lakes, data warehouses, data meshes, data modeling and data schemas (star, snowflake…)
Extensive experience with Azure cloud-native data services, including Synapse, Data Factory, DevOps, KeyVault, etc
Expertise in SQL, T-SQL, and Python with applied experience in Apache Spark and large-scale processing using PySpark
Proficiency with data formats: parquet, distributed snappy parquet, and .csv
Understanding of common connection protocols, such as SFTP
Proven ability to work with incomplete or ambiguous data infrastructure and design integration strategies
Excellent analytical, organizational, and problem-solving skills
Strong communication skills, with the ability to translate complex concepts across technical and business teams
Proven experience working with petabyte-level data systems
Preferred
Experience working with Personally Identifiable Information (PII) and Sensitive Information (SI)
Demonstrated success providing support within a Federal agency system environment, ensuring alignment with organizational goals and technical standards
Familiarity with data governance, metadata management, and data quality practices
Benefits
Full healthcare benefits
Company
eSimplicity
eSimplicity delivers game-changing digital services, healthcare IT and telecommunications solutions.
Funding
Current Stage
Growth StageRecent News
Synergy ECP, LLC
2025-10-09
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