Big Data Engineer - III

February 28

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Coastal Community Bank

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Coastal Community Bank is a financial institution offering a comprehensive range of banking services for businesses and individuals. It provides business checking and savings accounts, loans, credit card processing, treasury management, and online banking solutions tailored for enterprises and non-profits. On the personal side, the bank offers various checking and savings accounts, home loans, and retirement savings options such as IRAs. Committed to community engagement, Coastal Community Bank partners with local non-profits to support initiatives like job training, affordable housing, and financial literacy programs. With services such as branch banking, online banking, and mobile access, the bank aims to meet the financial needs of customers throughout the North Puget Sound region and beyond.

201 - 500 employees

Founded 1997

🏦 Banking

💸 Finance

💳 Fintech

📋 Description

• ABOUT US Coastal Community Bank is a little bit of banking and a little bit of tech-ing. • The people at Coastal don’t just help people with their banking; they help reshape how banking technology allows and serves EVERYONE. • We think and work like entrepreneurs, always moving and constantly improving. • We care about each other, are go-getters, work hard, and play hard. • If you're someone who thrives on innovation, wants to help others succeed, knows how to think outside the box, and believes that we're all in this together—you belong here. • As Big Data Engineer III at Coastal, you will design, develop, and implement efficient and scalable big data solutions. • You will be responsible for optimizing complex SQL queries, enhancing data architecture, and ensuring efficient data flow and storage. • This role involves collaborating with cross-functional teams, mentoring junior team members, and contributing to the continuous improvement of big data processes.

🎯 Requirements

• Design, develop, and implement efficient and scalable big data solutions using Hadoop, Spark (including HDFS, MapReduce, Hive, and Spark), Java, Python, and SQL. • Write and optimize complex SQL queries for data extraction, transformation, and loading (ETL) processes. • Utilize Java and Python for data processing, and application development within the Hadoop/Spark ecosystem. • Enhance and optimize data architecture for efficient data flow and storage, addressing the needs of big data environments. • Design and implement solutions for audit & balance/error handling, query development, test writing for file processing, and utilizing Azure components like data functions and Synapse. • Conduct in-depth analysis of large datasets from partners, cores, and external sources to derive actionable insights. • Lead and mentor junior team members, providing guidance and support in technical and non-technical areas. • Contribute to strategic planning and document system designs to support organizational goals. • Drive the continuous improvement of big data processes and systems to enhance efficiency and effectiveness. • Collaborate closely with the IT team, functional areas, and stakeholders to align data initiatives with business objectives. • Deliver high-quality code to solve important business problems and ensure adherence to company coding standards, revision control, configuration management, and documentation. • Adhere to schedules and ensure work stays on track within the scope of the team’s objectives. • Work directly with Product Management and stakeholders to translate requirements, develop specifications, and deliver high-quality solutions.