Description

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At Snowbird Agility, we are building a team of world-class Agilists who can respond to any organizational challenge. A Data and Business Intelligence Solutions Engineer at Snowbird Agility thrives in an exciting, fast-paced environment. A skilled Data and Business Intelligence Solutions Engineer to design, develop, and maintain robust data pipelines and architectures that support seamless data flow and empower decision-making. The ideal candidate will collaborate with analysts and data scientists, ensure data quality, and optimize systems for evolving organizational needs. This role requires expertise in managing large datasets, cloud platforms, and big data technologies while adhering to best practices in security, compliance, and data engineering.

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At Snowbird Agility, we believe in putting people first. Our foundation is Agile, and we meet our clients where they are with tailored solutions. We combine expertise with empathy to rise to every challenge. We enact change through collaboration and practical solutions - empowering organizations to create impact and meet people’s needs. We remain grounded in our values and our culture of learning and trust that drives collective success. Together, we turn challenges into opportunities, transforming how work gets done for the benefit of all.

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Requirements

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Essential Duties and Responsibilities:

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The essential functions include, but are not limited to the following:

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• Design, develop, and maintain scalable data pipelines to enable seamless data flow into data warehouses.
• Ensure the reliability and efficiency of data pipelines for real-time, batch and ad hoc data processing.
• Partner with data analysts and scientists to understand and meet data requirements for analysis and modeling.
• Translate organization needs into technical data solutions.
• Build and optimize data architectures for efficient storage and transfer of structured and unstructured data.
• Implement solutions that enhance data accessibility and performance.
• Perform data validation and cleansing to ensure accuracy, consistency, and reliability.
• Establish processes to identify and resolve data discrepancies.
• Monitor data pipelines and infrastructure for performance and availability.
• Diagnose and resolve issues promptly to minimize disruption.
• Adhere to data engineering best practices, including security, compliance, and governance standards.
• Ensure data systems comply with organizational and government regulatory requirements.
• Document data processes, workflows, and system designs to maintain a clear knowledge base.
• Provide regular updates and reports to stakeholders on system performance and improvements.
• Proactively enhance workflows, infrastructure, and technologies to meet evolving organization needs.
• Stay up-to-date with advancements in data engineering and big data technologies.
• Manage large datasets using cloud-based platforms (e.g., AWS, Azure, GCP) and big data tools (e.g., Hadoop, Spark).
• Optimize costs and performance for cloud-based data solutions.

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Minimum Qualifications (Knowledge, Skills, And Abilities)

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• Eight (8) years experience in Data Analysis, Business intelligence, or a related role on programs and contracts of similar scope, type, and complexity is required. 
• Takes initiative, detail-oriented, problem solver, willing to ask questions, clear communicator 
• Proven experience in designing and maintaining data pipelines and architectures
• Hands-on experience with cloud-based platforms and big data technologies
• Strong background in data validation, cleansing, and quality assurance
• Proficiency in data processing tools and languages (e.g., SQL, Python, Apache Spark, or Kafka)
• Experience with ETL tools and processes
• Strong understanding of data warehousing concepts and platforms (e.g., Snowflake, Redshift, BigQuery)
• Familiarity with data governance, security, and compliance standards
• Excellent problem-solving and troubleshooting skills
• High emotional intelligence and sensitivity
• Excellent communication, interpersonal, and mentoring skills
• Able to analyze, think quickly and resolve conflict
• Able to adapt to a changing environment
• Skilled at supporting multiple clients at a time
• Self-motivated, and able to maintain a professional, positive, “can-do” attitude while staying focused in the middle of distraction
• AWS Certified Data Analytics – Specialty, Google Cloud Data Engineer, or similar certifications
• Big data or database certifications such as Cloudera or Microsoft Azure Data Engineer Associate
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems or related field

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NOTE: This position is Contract-to-Hire