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First Fed · 17 hours ago

Senior Data Engineer - Washington State

Bellingham, WA

Part-time

Onsite

Senior Level, Lead/Staff

$87K/yr - $148K/yr

8+ years exp

First Fed is a local community bank on an exciting growth trajectory with a commitment to community service. The Senior Data Engineer will support the BI and Reporting Manager, focusing on advancing and optimizing the data ecosystem to enhance decision-making and strategic initiatives.

BankingFinanceFinancial ServicesMortgage

Growth Opportunities

Responsibilities

Innovate and enhance our data architecture while managing our existing platform in a highly regulated banking environment

Design, construct, and maintain scalable data pipelines and infrastructure that support our business intelligence, analytics, and data science objectives

Drive the implementation of ETL processes using advanced tools and scripting languages to ensure efficient data movement and integration

Develop and optimize data models using star and snowflake schemas to facilitate effective data storage, retrieval, and analytics

Monitor and improve data health metrics, governance, and quality management practices to ensure the integrity of our data assets

Responsible for performance optimization, scalability planning, and implementing advanced data solutions

Collaborate with cross-functional teams, including analysts, Customer Analytics Manager and operational staff, to understand data needs and implement effective solutions

Lead technical discussions with stakeholders and shape data strategy across departments. Serve as the technical liaison between data teams and business units, translating business needs into technical solutions

Troubleshoot and resolve complex data issues, tackling ambiguous technical challenges, employing strong problem-solving skills and analytical thinking

Engage with version control and contribute to test automation and CI/CD practices to deliver robust data solutions

Maintain proficiency in cloud-based tools, particularly Azure Data Factory and Snowpipe, to optimize data processes

Works independently, makes architectural decisions, and sets standards and best practices for the team

Qualification

Data engineeringETL processesSQLData visualization toolsCloud-based toolsProgramming languagesAnalytical skillsCollaborationProblem-solving

Required

Bachelor's degree in Computer Science or a related field required

8+ years of experience in data engineering or closely related roles

3-5 years experience in the fintech or banking industry is required

Proven track record in managing data migration projects and building and maintaining data pipelines and infrastructure

Strong analytical skills and experience with data visualization tools such as IBM Cognos, Power BI, Tableau

5+ years of SQL experience and expertise in schema design and dimensional data modeling

Proficient in programming languages such as Python, Scala, or Java, with experience writing production-level code for data pipelines and real-time applications

Demonstrated ability to drive innovation, accountability, and collaboration within a team environment