Senior Data & Analytics Engineer
Role details
Job location
Tech stack
Job description
Data Platform & Architecture
- Design, build, and evolve the enterprise data warehouse and analytics architecture
- Develop scalable data models, semantic layers, and curated datasets
- Build and manage data pipelines integrating core banking, lending, and operational systems
- Define and implement standards for data modeling, performance, and reliability
- Evaluate and recommend tools, platforms, and architecture improvements
- Implement data observability practices, including monitoring, alerting, and data freshness validation across pipelines and systems
- Establish and manage development, testing, and production environments, including deployment and release processes
Analytics & Business Intelligence
- Develop and deliver executive dashboards, KPIs, and operational reporting using Power BI
- Translate business questions into actionable, data-driven insights
- Enable self-service analytics with standardized and certified reports
- Improve consistency and trust in reporting across the organization
- Monitor adoption and usage of reporting tools and continuously improve usability and relevance of dashboards
Business Partnership & Strategy
- Partner with leaders across Retail, Lending, Finance, Risk, and Operations to prioritize initiatives and maintain a data and analytics roadmap aligned with business goals
- Gather and translate business needs into technical solutions and data products
- Act as a trusted advisor on data strategy, opportunities, and best practices
- Help drive a data-informed culture across the organization
- Drive adoption of analytics solutions by enabling stakeholders and promoting data literacy across teams
Governance, Security & Compliance
- Establish and maintain data governance, quality, lineage, and documentation standards
- Support audit and regulatory reporting requirements (NCUA/DFI/Compliance)
- Ensure secure handling of sensitive member and financial data
- Apply access controls and least-privilege principles
- Ensure compliance readiness through structured data documentation, traceability, and audit support processes
Continuous Improvement
- Automate manual reporting processes
- Improve platform reliability and reduce technical debt
- Recommend modern tools and best practices
- Support audits and regulatory reporting requirements
- Evaluate, manage, and optimize relationships with data and analytics vendors to ensure performance, cost-effectiveness, and alignment with business needs
Requirements
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Bachelor's degree in Computer Science, Data Science, Statistics or a related field, or equivalent combination of education and experience
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5+ years of experience in analytics, business intelligence or data engineering roles
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4+ years of experience in PowerBI (DAX, Power Query, modeling)
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Financial services and/or credit union experience preferred
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Advanced SQL skills working with large, complex datasets
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Demonstrated experience designing and managing data warehouses, * AI experience and/or certification
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Experience with core banking systems such as Fiserv DNA or similar
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Experience with automation or scripting (Python, PowerShell, Power Automate, etc.)
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Experience with cloud data platforms (Azure, Snowflake or similar)
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Experience supporting audit and regulatory reporting
KNOWLEDGE, SKILLS AND ABILITIES
Systems Knowledge: Proficient in core banking systems such as Fiserv DNA or similar platforms, with the ability to understand data structures and dependencies across financial systems and operational environments.
Data Engineering & Platform Expertise: Designs and supports scalable data solutions across cloud and on-prem environments (Azure, Snowflake, or similar). Demonstrates strong experience with SQL, data modeling, ETL/ELT pipelines, and building reliable enterprise data architectures that support analytics at scale.
Automation and Scripting: Applies automation and scripting (Python, PowerShell, Power Automate, or similar tools) to streamline data workflows, reduce manual processes, and improve efficiency and reliability of data operations and reporting.
Analytical Problem Solving & Technical Depth: Diagnoses and resolves complex data issues across integrated systems, including core banking, databases, and analytics platforms. Quickly identifies root causes, implements sustainable fixes, and ensures long-term data integrity across environments.
Data Governance: Takes responsibility of data accuracy, consistency, and reliability across the enterprise. Ensures data quality through validation, reconciliation, and governance practices. Maintains high trust in data used for reporting, compliance, and decision making.
Business & Analytical Acumen: Translates business problems into structured data solutions and actionable insights. Understands financial, operational, and risk-related metrics and connects analytical outputs directly to business outcomes and decision-making.
Communication & Data Storytelling: Communicates complex technical and analytical concepts clearly to both technical and non-technical audiences. Translates data into meaningful insights for leadership and stakeholders. Produces clear documentation, reporting standards, and user guidance that enables adoption and understanding.
Adaptability: Performs effectively in dynamic, high-pressure environments with shifting priorities. Demonstrates flexibility in adjusting to evolving technical challenges and demands while maintaining composure, focus, and solution-driven thinking.
Cross-Functional Collaboration: Partners and consults effectively with internal and external partners to achieve common goals. Demonstrates the ability to balance competing priorities while fostering productive relationships that drive shared success. PHYSICAL CONSIDERATIONS
Verity is committed to reasonably accommodating the physical aspects of the position. The following are normally encountered in this job:
- Ability to communicate effectively in person and through virtual collaboration tools with internal and external stakeholders
- Ability to travel within an assigned market
- Occasional ability to move or carry light equipment or materials up to 25-50 lbs
Benefits & conditions
11027 Meridian Avenue North, Seattle, WA 98133 Hybrid work $112,415 - $168,622 a year - Full-time, Pulled from the full job description
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Tuition reimbursement
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401(k)
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Health insurance
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401(k) matching
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Paid time off
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Vision insurance
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Dental insurance, The Senior Data & Analytics Engineer is responsible for the design, development, and governance of our enterprise data warehouse and business intelligence environment. This role transforms fragmented data into a trusted, scalable foundation that enables consistent, data-driven decision-making across the organization. Serving as both a hands-on builder and a strategic partner to leadership, this individual defines data architecture, delivers high impact analytics solutions, and ensures the integrity, security, and usability of data. The role plays a critical part in advancing a data-informed culture by providing reliable insights that support both strategic direction and daily operations. We know it is more than just a job Verity has continued to maintain an open and positive work culture. We make sure people come first! Some ways we help employees live their best lives:
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Base Pay: This position has a yearly range of $112,415 (minimum) to $168,622 (maximum), with a midpoint of $ 140,519. Starting pay is offered based upon an applicant's experience and education relevant to the position.
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Paid Time Off: All Verity employees receive 11 paid holidays per year and 3 floating holidays, as well as paid time off (PTO is combined vacation and sick leave.) PTO starts accruing immediately at a rate of 20 days per year.
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Benefits: Both full and part time employees (and their family) are eligible for medical, dental, vision, and basic life insurance, with a no cost option available for employee only coverage! Employees have the option to enroll in our 401k plan and receive an employer match up to 6%.
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Other Benefits: This position is eligible for annual cash bonuses up to 1% and a 1% profit-sharing bonus to 401k accounts based on company performance.
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Great Perks: Other Verity benefits include a wellness subsidy, a transportation reimbursement benefit and education reimbursement., * Sitting or standing for long periods of time
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Working on computers for a long period of time in an office environment
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Frequent collaboration through meetings, video conferencing, and cross-functional working sessions
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Fast-paced environment with shifting priorities and multiple concurrent initiatives
Washington is an At-Will Employment State Your employment is at will, meaning you are free to resign at any time, for any reason, with or without notice. Verity Credit Union is also free to conclude the employment relationship with you at any time, for any reason, with or without notice. No statement or promise by a credit union representative or board member may be interpreted as a change in the at will policy, nor would it constitute an employment or other contractual agreement.