Etl Data Engineer Jobs

Remote opportunity:

Need to reside in any of the following States: They would like to hire out of these 10 states Texas, Illinois, Arizona, Oklahoma, NY, NJ, CT, FL, GA , OH. Preferably the east coast .

ETL Data Engineer will maintain and develop EDI workflow development and client reporting.

This is for a Health Insurance Client. EDI experience and claims adjudication.

The primary role is to transform data into meaningful and accurate information which the business can easily consume.

• Write SQL queries for data extraction
• Follow change management stipulations
• Support implementation and ongoing maintenance, including data mapping, data gap analysis and remediation, configuration and changes as a result of data source updates Identify data requirement and data quality issues from data providers, account services teams and end-users
• Provide timely project and task updates
• Stay current with industry trends and emerging technologies in data exploration and BI tools, and recommend tools and methodologies for data management, governance and PHI security
• Analyze requirements at sufficient level of detail to allow ETL solution to be developed
• Develop ETL job flows according to company standards for naming, performance, reliability
• Develop, maintain, and extend reusable data components
• Work with Data Architects to augment ERD’s as changes are developed
• Execute unit tests, validate to expected results and ensure data quality and accuracy
• Maintain EDI Datasets to support the Analytic Delivery team
• Support testing and remediation of defects in newly-developed/modified workflows
• Reverse engineer existing reports
• Create robust reporting and issue tracking, such as data quality scorecards and dashboards based on key metrics and indicators to monitor progress.
• Collaborate with the Data Architecture team to understand and implement load processes for reporting and analytic data structures (data warehouses, data marts and data lakes)
• Tune and troubleshoot processes under development and in production; monitor data integration jobs and correct failures
• Monitor production data integration jobs and correct failures create and manage incident reports as they pertain to data integration processes
• Coordinate and perform unit, system and user acceptance testing as well as code deployment / configuration changes to environments