Senior Analytics Engineer

Members Achieve More isn't just a tagline for us, it's part of everything we do! We're looking for passionate individuals to join our team to help us maintain that focus every day. Want to work somewhere that's remained strong for 90 years, that encourages you to learn, grow, and pursue your dreams? If yes, then read on...

The role of the Sr Analytics Engineer is to build the data transformation architecture that enables reliable analytics and positions us for what’s next. This person brings deep technical expertise in data transformation and modeling with a collaborative leadership style. This role is about building the data architecture we truly need, focused on outcomes, not trends. You’ll lead the design of a unified, cloud-based data environment centered on dbt and modern analytics engineering practices, enabling reliable transformation logic and data modeling that supports analytics, governance, and operational decision-making across the organization. Your work will shape how data is modeled, tested, and shared to enable a modern and scalable data ecosystem.

Schedule: Monday - Friday 8:00am - 4:00pm. Location: Remote, applicants must reside in PA to be considered for this role

In this position, you will

Position Specific Essential Duties

• Own the design and roadmap of our data transformation layer and modeling standards, building a modern, analytics-ready data warehouse that elevates our analyst’s work and positions us for what’s next.
• Lead the implementation of DBT as the core transformation layer in our modern data stack and the broader modern data stack, embedding strong modeling and documentation practices across teams
• Partner with analytics engineers, analysts, and business leaders to translate requirements into reliable, well-structured data solutions models and transformation pipeline.
• Define and uphold architectural standards, governance frameworks, and documentation practices that promote trust in data. discoverability, and collaboration across the analytics organization
• Guide the modernization of our Microsoft-based data environment (including Fabric, SQL Server, Synapse, and Power BI), integrating modern technologies where they clearly add value.
• Provide architectural direction and mentorship, fostering clarity, collaboration, and professional growth across the team, helping analytics engineers and analysts level up their modeling and transformation skills.
• Other duties as assigned.
  
  

Experience/Education

Required:

Bachelor’s degree in a technical field, such as computer science, information systems, engineering, or related discipline

• 8 years of experience in data modeling, data architecture, or closely related work
• Strong experience in data modeling and analytics engineering or data warehousing.
• Deep hands-on expertise with dbt and modern data stack tools (e.g., Snowflake, AWS, Fivetran, Airbyte, or similar).
• Highly proficient in building, testing, and maintain transformation logic in dbt.
• Proven experience designing data models and transformation pipelines in regulated environments
• Ability to translate business needs into clear architectural patterns
• Strong communication and collaboration skills with comfort working with senior leaders
• Ability to guide and mentor analytics engineers and analysts
• Strong grounding in data governance, lineage, and quality practices
  
  

Preferred

• Experience in financial services, preferably credit unions, and an understanding of the regulatory and operational context in which they operate.
• Experience leading or contributing to data and cloud migration projects.
• Exposure to Azure or hybrid cloud data environments.
• Familiarity with metadata management tools and data catalogs.
  
  

Qualifications

Bachelors, Bachelors: Computer and Information Science, Bachelors: Information Technology, Bachelors (Required)