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We have a 6 month contract to hire opportunity for a hands-on Data Engineer with strong SQL expertise, experience working with Teradata, and proficiency using Git/source control in an Agile Scrum environment. They should have at least 2+ years of experience building and supporting data pipelines, data transformations, and large-scale data processing solutions, with the ability to independently develop complex SQL queries, contribute to code reviews, and deliver high-quality data solutions in a fast-paced, collaborative team setting. 100% Remote. This team manages the Software Platform that powers reward processing for the Ambetter and Medicaid lines of business. There is a new project initiative to complete the migration of the remaining Medicaid LOBs onto a standard enterprise platform and retire the Core legacy platform. The key project is the migration to one consolidated application framework, that is highly configurable and easier to maintain. These individuals will be part of an agile scrum team delivering on this key business initiative.
Job Responsibility
Writes basic SELECT, INSERT, UPDATE, and DELETE statements with occasional guidance
Run a FastLoad or MultiLoad script with guidance
Independently writes multi-table joins, subqueries, and aggregations
Applies Teradata-specific syntax (QUALIFY, SAMPLE, DATE arithmetic) without guidance
Applies branching strategies (GitFlow or trunk-based) consistently
Performs rebases, cherry-picks, and resolves complex conflicts independently
Writes clear MR descriptions with context, testing notes, and linked issues
Gives specific, actionable review feedback
Uses draft MRs and suggestions effectively
Configure new Medicaid plans onto the standardized platform
Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction
Designs, develops, implements, tests, documents, and operates large-scale, high-volume, high-performance data structures for business intelligence analytics
Designs, develops, and maintains real-time processing applications and real-time data pipelines
Ensure quality of technical solutions as data moves across internal environments
Provides insight into the changing data environment, data processing, data storage, and utilization requirements for the company and offers suggestions for solutions
Develops, constructs, tests, and maintains architectures using programming language and tools
Identifies ways to improve data reliability, efficiency, and quality
use data to discover tasks that can be automated
Performs other duties as assigned
Complies with all policies and standards
Requirements
Bachelor's degree
2+ years of experience
Proven SQL experience
GIT
Teradata
Nice to have
Experience with Big Data
Data Processing
Experience with Other: diagnosing system issues, engaging in data validation, and providing quality assurance testing
Experience with Data Manipulation
Data Mining
Experience with Other: • Experience working in a production cloud infrastructure
Experience with one or more of the following C# (Programming Language)