Sr. Data Engineer

KSTA I.T.

Las Vegas, Nevada

JOB DETAILS
SKILLS
Agile Programming Methodologies, Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Big Data, Business Intelligence, Business Support, Cloud Computing, Code Reviews, Communication Skills, Computer Science, Consulting, Continuous Deployment/Delivery, Continuous Integration, Customer Relationship Management (CRM), Data Analysis, Data Management, Data Modeling, Data Quality, Data Science, Data Warehousing, Database Extract Transform and Load (ETL), ERP (Enterprise Resource Planning), GCP (Good Clinical Practices), Help Desk, Information Technology & Information Systems, Leadership, Machine Learning, Mathematics, Mentoring, Messaging Technology, Microsoft Windows Azure, NoSQL, Online Customer Support, Performance Analysis, Performance Testing, Power BI, Problem Solving Skills, Process Capability, Product Programs, Production Systems, Python Programming/Scripting Language, REST (Representational State Transfer), SQL (Structured Query Language), Scalable System Development, Software Development, Software Engineering, Streaming Technology, System Integration (SI), Tableau, Technical Consulting, Technical Leadership, Technical Recruiting, Test Driven Development (TDD), Testing, Use Cases
LOCATION
Las Vegas, Nevada
POSTED
1 day ago

Come build, innovate, disrupt, and thrive!


KSTA I.T. is actively seeking a Senior Data Engineers for two immediate full-time opportunities with our industry leading client.


Are you on the lookout for a unique career opportunity that offers leadership, responsibility, and the chance to make a significant impact? If you're eager to contribute to a thriving and stable organization while maintaining your confidentiality, continue reading.



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.


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


Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field
  • Master’s degree preferred
  • 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


Technical Skills:

  • Proficiency in Python and experience with CI/CD practices
  • Experience with machine learning pipelines and production deployment (preferred)
  • 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
  • Familiarity with BI and visualization tools (e.g., Power BI, Tableau or similar)


Additional Qualifications:

  • Experience working in Agile environments
  • Strong analytical, problem-solving, and communication skills
  • Ability to occasionally support off-hours work as needed



About KSTA I.T.:


Our name says it all; KSTA I.T. (Keys-to-I.T.) AND our people are our keys to our success!


KSTA I.T. is a premier Utah-based technical staffing and consulting services firm. We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, Data, End-User support, Web and Executive / leadership-based positions on a full time and consulting basis. If you're interested in a role where top performance is rewarded, personal time is valued, and excellence is demanded at every level we want to talk to you today!


Where do you want to go? We've got the keys! ~ KSTA I.T.


WWW.KeSTAIT.COM


About the Company

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KSTA I.T.