Data Engineer

🕒 April 20

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Alkami Technology

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2009

🏦 Banking

💳 Fintech

☁️ SaaS

💰 $300M Post-IPO Debt - Alkami Technology on 2025-03

Banking • Fintech • SaaS

Alkami Technology is a digital banking software company that provides a cloud-based Digital Sales & Service Platform for banks and credit unions. Its platform combines onboarding and account opening (via MANTL), digital banking, and data & marketing solutions to enable anticipatory, data-driven customer experiences, faster account origination, fraud protection, payment reporting, and personalized marketing. Alkami serves financial institutions (retail and business customers) and offers integrations, developer tools, and implementation support to drive deposit growth, reduce churn, and improve operational efficiency.

📋 Description

• Participate in the entire data pipeline lifecycle, focusing on building data lakes, data warehouses and related processes • Pair with Sr team members on design and code reviews. • Write clean code to develop data pipelines and necessary infrastructure as code • Collaborate with internal teams to understand requirements and effectively accomplish assigned tasks. • Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed • Participate in the evaluation of new technologies and tools that can improve performance of our system • Gather technical and design requirements from internal and external stakeholders • Communicate effectively with technical and non-technical team members to ensure alignment and successful execution of projects. • Participate in cross-functional initiatives, promoting a culture of data-driven decision-making and continuous improvement. • Participate in an on-call rotation

🎯 Requirements

• Requires 5 years of related experience in cloud native data offerings and data lakes in a cloud environment • Experienced with relational databases (Postgres, SQL Server) and data modeling principles • In-depth knowledge of the entire data engineering process (design, development, deployment) • Awareness of release management processes and how data solutions are deployed via IaC • SQL (SQL Server, Postgres) and Python • Identify opportunities for process improvement as well as efficiency in solutions • Teamwork skills with a problem-solving attitude and willing to take a variety of approaches • Excellent analytical and time management skills • Good written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders • Proven ability to work cross-functionally with engineering and product teams • Exposure to legacy data warehouse and ETL pipelines • Familiar with data architecture and data modeling for data warehousing and analytical purposes. • Ability to participate in on-call rotation

🏖️ Benefits

• remote-first environment • unlimited paid time off • 401(k) with employer match