Sr. Data Engineer

KēSTA I.T.•Las Vegas, NV

7d•Hybrid

About The Position

KēSTA I.T. is actively seeking a Senior Data Engineers for two immediate full-time opportunities with our industry leading client. A Senior Data Engineer is responsible for designing, building, and managing data platforms and tools that enable efficient processing, analysis, and utilization of large-scale data. This role focuses on developing scalable data pipelines, ensuring data quality, and supporting the deployment of advanced analytics and machine learning solutions into production environments. This individual partners closely with business and technical teams to enhance data models, improve accessibility, and drive data-informed decision-making. The role supports both real-time and batch processing capabilities and translates complex business requirements into scalable, high-performing data solutions.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field
8+ years of experience in data engineering, including full-stack data capabilities
10+ years of experience in software development or programming
5+ years of experience working with cloud platforms (e.g., Azure, AWS, GCP)
Strong SQL expertise and data querying skills
Proficiency in Python and experience with CI/CD practices
Hands-on experience with modern data platforms (e.g., Databricks, Spark, Fabric or similar technologies)
Strong background in infrastructure and cloud-based data architectures
Experience designing and building data pipelines for big data, NoSQL, and data warehouse solutions
Familiarity with real-time streaming technologies (e.g., Kafka, Event Hub or similar)
Experience with RESTful APIs, messaging systems, and integration patterns
Hands-on experience with cloud-native data services (e.g., data lakes, ETL tools, streaming services, analytics platforms)
Strong expertise in data architecture and data modeling
Experience implementing data quality frameworks and data governance practices
Strong analytical, problem-solving, and communication skills
Ability to occasionally support off-hours work as needed

Nice To Haves

Master’s degree preferred
Experience with machine learning pipelines and production deployment (preferred)
Familiarity with BI and visualization tools (e.g., Power BI, Tableau or similar)
Experience working in Agile environments

Responsibilities

Design, develop, and maintain real-time and batch data pipelines to process large volumes of data
Build and support tools for data ingestion, transformation, curation, and provisioning across first- and third-party data sources
Develop advanced data products and APIs to enable analytics, reporting, and data science use cases
Monitor system performance, conduct testing, troubleshoot issues, and implement enhancements
Lead data analysis efforts and design data architectures that support business intelligence, AI/ML, and data product initiatives
Design and implement scalable data platform architectures that meet organizational needs for performance, flexibility, and reliability
Ensure solutions meet operational requirements such as scalability, maintainability, extensibility, and data integrity
Provide technical leadership, mentorship, and guidance to team members
Lead code reviews and promote best practices, including test-driven development and CI/CD