Senior Data Engineer

🕒 Junho 24

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $120.000 - $150.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 30%

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Logo of Alkami Technology

Alkami Technology

501 - 1000 funcionários

Fundada em 2009

💼 Consultoria

📣 Marketing

🏦 Bancário

💰 $300.000.000 Post-IPO Debt - Alkami Technology em 2025-03

Consulting • Marketing • Banking

A Alkami Technology é uma empresa de software bancário digital que fornece uma Plataforma de Vendas e Serviços Digitais baseada em nuvem para bancos e cooperativas de crédito. Sua plataforma combina integração e abertura de contas (via MANTL), banco digital e soluções de dados e marketing para possibilitar experiências do cliente antecipatórias e baseadas em dados, originação de contas mais rápida, proteção contra fraudes, relatórios de pagamentos e marketing personalizado. A Alkami atende instituições financeiras (clientes de varejo e empresariais) e oferece integrações, ferramentas para desenvolvedores e suporte à implementação para impulsionar o crescimento de depósitos, reduzir o churn e melhorar a eficiência operacional.

Descrição

• Build and maintain data lake and data warehousing solutions for a B2B multi-tenant SaaS solution • Participate in the entire data pipeline lifecycle, focusing on building data lakes, data warehouses and related processes • Lead code and design reviews with junior and peer developers • Write clean code to develop data pipelines and necessary infrastructure as code • Collaborate with cross-functional teams to understand requirements and design appropriate solutions • Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed • Evaluate new technologies and tools that can improve system performance • Participate in data governance processes • Contribute to the design and documentation of the data lake platform • Develop test automation solutions for data and optimize performance • Gather technical and design requirements • Communicate with technical and non-technical team members to ensure project alignment and execution • Participate in cross-functional initiatives promoting data-driven decision-making and continuous improvement • Participate in an on-call rotation

🎯 Requisitos

• Typically requires a minimum of 5 years of related experience; or 3 years and an advanced degree • Bachelor’s degree in engineering, computer science, math, data engineering or another related field or equivalent work experience • Experience in the development of modern data architecture, analytics, data governance, AI/ML, or related areas • Experience with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS, MKS/Kafka/Kinesis • In-depth knowledge of the entire data engineering process (design, development, deployment) • Exposure with relational and NoSQL databases such as PostgresQL, Cassandra, DynamoDB, MongoDb and data modeling principles • Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure-as-code • Proficient in SQL (SQL Server, Postgres) and Python • Strong experience with legacy data warehouse and ETL pipelines • Demonstrated ability to mentor junior team members • Excellent analytical and time management skills, with a proven ability to deliver value independently • Strong written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders • Ability to lift a minimum of 5 pounds to a maximum of 10 pounds unassisted • Ability to stand, sit, stoop, walk, stretch, reach, and use full range of body motions • Manual dexterity as required for specific equipment • Candidates must be eligible to work in the US for full-time employment • Preferred: Experience with multi-tenant, B2B2C SaaS offerings • Preferred: FinTech industry experience • Preferred: AWS Cloud Formation/Terraform • Preferred: Understanding of MPP Data Warehouse (Redshift, Greenplum)

🏖️ Benefícios

• Remote-first environment • Unlimited paid time off • 401(k) with employer match • Diverse and inclusive environment • FUN culture

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