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Data Engineer at

Data Engineer

Work From Home Full-Time
$70,000.00 - $125,000.00 / year
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RLT is seeking a highly qualified, experienced Data Engineer. The right Data Engineer for this position is someone who enjoys challenging work in a fast-paced environment and solving complex business problems with data and analytics enabling our customers in their pursuit of better healthcare outcomes for their members. 

This is a remote position and to be qualified you must reside in one of the following states.



Essential Functions

·        Design, develop and implement ETL solutions for ingesting, cleansing, business rules execution and pushing customer data into our client systems.

·        Significant participation in analysis, interpretation, and translation of complex health plan data, issues, trends and relationships to provide our customers detailed insights into their data

·        Analyze and interpret complex data on source and target systems, identify the gaps, and provide solutions

·        Ability to write complex SQL queries

·        Optimizes SSIS package execution and SQL execution to minimize load times.

·        Ensures data integrity throughout the ETL process and appropriately handle errors

·        Work closely with Scrum team members using Agile processes to iteratively develop and improve ETL pipelines.

·        Proactively provide feedback and process improvement recommendations to the team and management


·        Bachelor’s degree in Computer Science, Management Information Systems or related discipline Overall 5+ years of experience designing and developing ETL processes

·        3+ years of experience with SSIS, SSRS, SQL Server and T-SQL

·        Data analysis, data presentation, spread sheet and database capabilities

·        3+ years of experience automating ETL pipelines with a heavy emphasis on quality, validation and tracking

·        Experience with SAS or other statistical applications

·        Experience with SSAS, Tabular Models and/or Star Schemas

·        Experience with Healthcare data

·        Experience with NoSQL Database such as Hadoop and MongoDB

Recommended skills

C Sharp (Programming Language)
Microsoft Sql Servers
Sql (Programming Language)
Sql Server Reporting Services
Ssas 2012
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