Snowflake Data Engineer

Base pay range: $55.00/hr - $60.00/hr

Status: 6 month contract-to-hire

Pay:
Up to $60.00 per hour ($120,000 - $130,000 annually upon conversion to FTE)

Location:

Remote (must be willing to work 7:45am – 4:30pm Mountain Time). Two other Engineers on the team live in Denver and would be ideal to have the 3rd there as they meet up sometimes for lunch – not required though.

• US Citizen with strong communication skills
• Minimum 2 years experience working within Snowflake or an equivalent combination of education and experience sufficient to perform the essential functions of the job
• Minimum 5 years related experience as a Data Engineer or similar role
• Technical expertise with data pipelines, API management, data models, and data warehouses
• Working knowledge of programming languages (e.g. Java and Python)
• Hands‑on experience with SQL database design
• Bachelor’s degree in computer science, IT, or related field
• Demonstrated analytical skills
• Demonstrated skill in interacting and collaborating with others
• Skill in oral and written communication, sufficient to discuss a variety of job‑related topics, and to effectively communicate complex topics to a variety of audiences
• Skill in utilizing a systematic approach to problem solving
• Skill in researching information to gain knowledge to apply to business challenges
• Skill in advising and guiding individuals to achieve results

The Data Engineer builds and optimizes the association’s data and data pipeline architecture, supporting multiple teams, systems, and projects. Staying up-to-date with data engineering tools and technologies, including cloud-based data services, is essential for this position.

• Designs, optimizes, and maintains databases for efficient data storage and retrieval.
• Manages data warehouses or data lakes to ensure accessibility and reliability of data.
• Develops and maintains data models and schemas that support analytics and reporting.
• Manages our Snowflake instance to provide business and regulatory report on our portfolio and ancillary services from initial contact to post loan closure.
• Builds and maintains data pipelines to move, transform, and load data from various sources to a centralized repository.
• Optimizes data infrastructure and pipelines for speed, scalability, and cost-effectiveness.
• Designs, publishes, documents, monitors, secures, and analyzes Application Programming Interfaces (APIs).
• Creates ETL (Extract, Transform, Load) processes to clean, transform, and prepare data for analysis.

• Ensures data completeness, integrity, and security through validation, monitoring, and governance practices.
• Normalization of data to eliminate duplications and ensure single source of truth.
• Works closely with stakeholders to understand data needs and provide access to relevant data.
• Creates documentation and provides support to help others understand and use the data infrastructure effectively.

• Appropriately protects the confidentiality, security, and integrity of the Association, employees, borrowers, and other stakeholders.

Seniority level:
Mid‑Senior level

Employment type:

Contract

Job function:
Engineering and Information Technology

Industries:
Banking, Financial Services, and Farming

• Medical insurance
• Vision insurance
• 401(k)
• Tuition assistance

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