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) Any equivalent combination of experience and education. |
• Required In 1934, 22 ordinary people pooled $90 of their own money and formed
• PSECU, a not-for-profit credit union, to provide a better life for themselves
• and their families. Since then, PSECU has grown to over $8 billion in assets,
• more than 590,000 members, and approximately 850 employees. We’ve been
• recognized by several organizations for our high-quality, low-cost financial
• products and services, positive member experience, and commitment to helping our
• Members Achieve More.