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FileImport - Signature Performance
ClaimsXM Data Engineer III - Remote/Nationwide
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$112,698 / year median in the U.S.
+11% projected growth
Job Description
ClaimsXM Data Engineer III - Remote/Nationwide
This is a remote based position. Applicants can be located nationwideBack ClaimsXM Data Engineer III #2894 United States X Facebook LinkedIn Email Copy Position Description About YouYou are a person who loves to implement methods to improve data reliability and quality. We need someone who is a self-starter with an analytical mindset, proven problem-solving abilities, and the ability to multitask. In the role of ClaimsXM Data Engineer III, you will play a critical role in managing, processing, and analyzing enterprise data.
Tell us about your experience in Data Engineering.
Are you a team player and a self-motivator?
What is your experience with conducting business in a way that is credit to a company?
We are counting on you to manage multiple projects using your problem-solving skills.
We are looking for someone
Are you highly committed? Are you team-oriented? Do you value professionalism, trust, honesty, and integrity? If so, we cannot wait to meet you. About The PositionBuild, maintain and automate data processes within Azure data factory.
Performs configuration, scripting, analysis, installation, and administration of ETL tools.
Assist in establishing data quality measures, data cleansing processes and governance with the DBA and Development teams.
Works with other technical teams to build objects and integration points within an Enterprise DataMart\warehouse solution.
Help determine, enforce, and document data policies, procedures, and standards using data flow tools such as Visio.
Effectively communicate, coordinate, and collaborate with both technical and business teams as well as auditors.
Support key components of the System Development Life Cycle (SDLC).Ensure minimum necessary and best practices are being followed from a security perspective.
Establishes critical strategic and operational goals; develops and implements new products, processes, standards, or operational plans to achieve strategies.
Perform other related duties as necessary.
Ensures service level agreements are met for internal and external clients.
Provide junior Data Engineers guidance when needed.
Experience working within Azure data factory required.
Knowledge of Microsoft tools especially SQL\SSIS\SSRS and SSAS.Experience in creating complex SQL Databases, SQL queries, stored procedures, and functions.
If no degree, a minimum of seven years of experience in Data Engineering.
Extensive knowledge transforming data between different data types.
Extensive knowledge working with Data Marts and Data WarehousesHighly organized and responsible.
Excellent communication and collaboration skills with the ability to work effectively in a team environment.
Analytical mindset and proven problem-solving skills.
Self-starter who can multi-task.
Demonstrated ability to be highly productive in a fast-paced environment.
Tell us about your experience in Data Engineering.
Are you a team player and a self-motivator?
What is your experience with conducting business in a way that is credit to a company?
We are counting on you to manage multiple projects using your problem-solving skills.
We are looking for someone
UNCOMMON.
What is uncommon about you?Are you highly committed? Are you team-oriented? Do you value professionalism, trust, honesty, and integrity? If so, we cannot wait to meet you. About The PositionBuild, maintain and automate data processes within Azure data factory.
Performs configuration, scripting, analysis, installation, and administration of ETL tools.
Assist in establishing data quality measures, data cleansing processes and governance with the DBA and Development teams.
Works with other technical teams to build objects and integration points within an Enterprise DataMart\warehouse solution.
Help determine, enforce, and document data policies, procedures, and standards using data flow tools such as Visio.
Effectively communicate, coordinate, and collaborate with both technical and business teams as well as auditors.
Support key components of the System Development Life Cycle (SDLC).Ensure minimum necessary and best practices are being followed from a security perspective.
Establishes critical strategic and operational goals; develops and implements new products, processes, standards, or operational plans to achieve strategies.
Perform other related duties as necessary.
Ensures service level agreements are met for internal and external clients.
Provide junior Data Engineers guidance when needed.
Minimum Requirements:
Bachelor's or Associate degree and seven years of Data Engineering.Experience working within Azure data factory required.
Knowledge of Microsoft tools especially SQL\SSIS\SSRS and SSAS.Experience in creating complex SQL Databases, SQL queries, stored procedures, and functions.
If no degree, a minimum of seven years of experience in Data Engineering.
Extensive knowledge transforming data between different data types.
Extensive knowledge working with Data Marts and Data WarehousesHighly organized and responsible.
Excellent communication and collaboration skills with the ability to work effectively in a team environment.
Analytical mindset and proven problem-solving skills.
Self-starter who can multi-task.
Demonstrated ability to be highly productive in a fast-paced environment.