Job Description

IQ Clarity’s client is seeking a Data Engineer to design, build, and maintain scalable, cloud-based data platforms and pipelines. This role partners closely with engineering, analytics, and business stakeholders to ensure high-quality, reliable data is available for analytics, reporting, and advanced data use cases.

Responsibilities:

• Design, build, and maintain scalable, reliable data pipelines using modern cloud-based orchestration frameworks
• Develop, test, and optimize analytics-ready data models using dbt and analytics engineering best practices
• Architect and maintain modern data lake and lakehouse storage patterns to support batch and streaming workloads
• Build and support batch and near–real-time data processing workflows using distributed processing frameworks
• Manage and optimize cloud data storage and compute services to ensure performance, scalability, and cost efficiency
• Establish and enforce data quality, testing, and governance standards, including dbt tests and documentation
• Collaborate with analytics, data science, application, and business teams to translate requirements into scalable data solutions
• Monitor data pipelines, troubleshoot data quality or performance issues, and improve system reliability
• Support CI/CD pipelines and infrastructure automation for data workflows and platforms
• Ensure data security, access controls, and governance best practices are followed
• Contribute to engineering best practices, documentation, and code reviews
• Evaluate and integrate tools and technologies that improve platform scalability, developer experience, and operational efficiency

Requirements:

• 5+ years of experience in data engineering or analytics engineering roles
• Strong proficiency in Python and SQL
• Hands-on experience designing and building data pipelines on AWS
• Experience with AWS data services such as S3, Glue, Redshift, RDS, Lambda, Athena, and related analytics tooling
• Strong experience with dbt for data transformations, testing, and analytics engineering workflows
• Experience with workflow orchestration frameworks (e.g., Airflow or similar tools)
• Experience working with distributed data processing technologies (e.g., Spark or similar)
• Experience designing or supporting modern data lake or lakehouse architectures
• Familiarity with streaming or messaging platforms (e.g., Kafka or cloud-native equivalents)
• Experience with infrastructure-as-code and containerization tools (e.g., Terraform, CloudFormation, Docker)
• Solid understanding of CI/CD concepts as applied to data systems
• Ability to communicate effectively with both technical and non-technical stakeholders

Nice to Have:

• Experience with streaming data platforms (e.g., Kinesis, Kafka)
• Exposure to analytics, BI, or visualization tools
• Experience in regulated or compliance-focused data environments
• Exposure to ML or AI-related data pipelines and feature generation use cases
• Experience supporting self-service analytics at scale
• Prior mentoring or informal technical leadership experience
• AWS certifications

IQ Clarity, LLC is an Equal Opportunity Employer.

No C2C or third-party candidates

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