Analytics Engineer (Redshift, Data Warehousing, SQL Server)

Job Description

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• Location: Charlotte, NC
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• Hybrid position (3 days per week on site in uptown Charlotte)
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• 1-year contract with opportunity for extension or full-time hire
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• W-2 only. No Corp-to-Corp or 1099 arrangements.
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• Applications will be accepted through October 22, 2026
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Brooksource is seeking a Senior Analytics Engineer to support the modernization and ongoing development of enterprise data warehouse solutions for our Fortune 500 client. This role will focus on designing and implementing dimensional data models, developing complex SQL transformations in Amazon Redshift, and supporting data migration efforts from legacy SQL Server environments.

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The ideal candidate combines strong data warehousing expertise with advanced SQL skills and the ability to analyze, cleanse, reconcile, and validate enterprise data. This individual will serve as a key liaison between business stakeholders, analytics teams, and Data Engineers, translating requirements into clear technical specifications that enable scalable and trusted data solutions.

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The position requires hands-on experience with Amazon Redshift, data modeling, data quality remediation, and data warehouse modernization initiatives. Successful candidates will be comfortable working across both business and technical teams to support the delivery of reliable analytics capabilities and enterprise reporting solutions.

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WHAT YOU'LL DO:

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• Design and implement dimensional data models including fact and dimension tables within Amazon Redshift
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• Build and maintain curated analytics datasets to support reporting, business intelligence, and downstream analytical use cases
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• Apply data warehousing best practices including star schemas, snowflake schemas, slowly changing dimensions, and conformed dimensions
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• Write, optimize, and maintain complex SQL queries and transformations to support analytics and reporting requirements
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• Analyze existing SQL Server databases to understand source data structures, relationships, and business rules
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• Perform data profiling, cleansing, remediation, and reconciliation activities during data warehouse migration and modernization efforts
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• Identify and resolve data quality issues including duplicates, null values, data type inconsistencies, and integrity concerns
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• Validate migrated data through source-to-target reconciliation and testing processes
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• Translate business and analytical requirements into technical specifications, source-to-target mappings, transformation logic, and validation criteria
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• Partner closely with Data Engineering teams to support backlog refinement, pipeline development, and production readiness activities
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• Create and maintain data dictionaries, technical documentation, transformation specifications, and data model documentation
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• Collaborate with business stakeholders, analysts, and engineering teams to ensure data solutions align with organizational needs
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• Support testing, validation, and deployment efforts for new data warehouse capabilities and enhancements
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WHAT YOU BRING:

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• Bachelor's degree in Computer Science, Information Systems, Analytics, Engineering, or a related field, or equivalent professional experience
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• 4-7 years of experience in analytics engineering, data warehousing, data modeling, or related data-focused roles
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• Strong hands-on experience with Amazon Redshift or comparable cloud-based data warehouse platforms
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• Advanced SQL experience including complex joins, aggregations, window functions, and query performance optimization
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• Experience working with SQL Server databases, particularly within legacy modernization or migration initiatives
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• Strong understanding of dimensional modeling and enterprise data warehouse design principles
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• Experience supporting ETL/ELT processes and collaborating with Data Engineering teams
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• Experience performing data validation, reconciliation, and data quality analysis
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• Ability to convert business requirements into clear technical specifications and implementation-ready deliverables
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• Strong analytical, troubleshooting, and problem-solving skills
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• Experience developing and maintaining technical documentation
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• Ability to effectively communicate with both technical and non-technical stakeholders
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PREFERRED QUALIFICATIONS:

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• Experience supporting enterprise data warehouse modernization or migration initiatives
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• Familiarity with AWS services such as S3, Glue, Lambda, Redshift, or related cloud-based data platforms
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• Experience with dbt, Airflow, or similar data transformation and orchestration tools
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• Knowledge of data quality frameworks, reconciliation methodologies, and governance practices
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• Experience working in Agile or Scrum environments
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• Familiarity with BI and analytics platforms such as Tableau, Power BI, Looker, or Amazon QuickSight
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• Experience supporting large-scale analytics and reporting environments
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• Understanding of enterprise data architecture and cloud-based data ecosystems
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Eight Eleven Group is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation, and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.