Senior Data Engineer - Snowflake Platform (Senior Data Engineer)

We're always looking for diverse, talented, service-oriented people to join our exceptional team.

Senior Data Engineer - Snowflake Platform (Senior Data Engineer)

The pay range for this position is listed below. Our pay ranges are built to allow for candidates with various levels of skill and experience to be considered, as well as for room for growth and tenure achieved in a role over time. Typical new hire salary offers fall within the minimum to midpoint of a pay range for many candidates. Any offer extended to a candidate will be based upon their unique set of knowledge, skills, education, and experience as well as internal equity.

Pay Range:

$112,185.00 - $179,496.00

Scheduled Weekly Hours:

40

What You'll Be Doing

Responsible for creating, transforming and expanding the data pipeline to various target destinations for consumption across the Credit Union data architecture. This role will be responsible for the development, maintenance, testing and support for these solutions.

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal ETL/ELT of data from a wide variety of data sources using SQL and cloud 'big data' technologies.
• Manage Snowflake environment such as Administration, data ingestion and security
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep SFFCU and Member data secure and compliant to NCUA and regulatory policies.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our analytic capabilities into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data ecosystems.
• Strong analytical, problem solving and conceptual skills
• Whenever possible, provide opportunities to serve and teach others
• Be accountable for staying up to date with data storage technologies in a collaborative environment.

Additional Job Functions

• Performs other duties as assigned
• Complies with regulatory compliance and assigned training requirements including but not limited to BSA regulations corresponding to their specific job duties. Failure to do so may result in disciplinary and other employment related actions

Qualifications

• High School Diploma or GED required
• Bachelor's Degree or equivalent years of experience required
• 5 - 7 years of prior relevant experience required

Knowledge, Skills, and Abilities

• Working knowledge of cloud data platforms, with hands‑on experience using Snowflake for data storage, processing, and security.
• Working knowledge of BI & data visualization tools
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of non-relational database technologies.
• Experience building and optimizing data pipelines, architectures and data sets.
• Experience with data integration tools and ETL/ELT tools, such as QLIK and Boomi
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with a variety of datasets.
• Proven success in manipulating, processing and extracting value from large and disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• Experience in project management, including agile methodology and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience with traditional relational SQL database such as SQL Server or Oracle.
• Experience with data pipeline and workflow management tools like QLIK and Boomi.
• Experience with cloud services.
• Experience with object-oriented/object function scripting languages: Python, PowerShell, etc.
• Experience with BI Analytics Frameworks is desired.

SchoolsFirst FCU is committed to Diverse, Equitable, and Inclusive Hiring

At SchoolsFirst FCU we are dedicated to building and growing a diverse, inclusive, and authentic Dream Team, so if you're excited about a position or wanting to make a career change but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. Many skills are transferrable and you may be just the right candidate for the position, or for other roles we are working on.

SchoolsFirst Federal Credit Union is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. SchoolsFirst FCU is an equal opportunity employer and prohibits discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibits discrimination against all individuals based on their race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, political affiliation, or genetic information.

This organization participates in E-Verify.