Senior Data Engineer

🕒 June 24

🇺🇸 United States – Remote

💵 $120k - $150k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 22%

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Logo of Alkami Technology

Alkami Technology

501 - 1000 employees

Founded 2009

💼 Consulting

📣 Marketing

🏦 Banking

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

Consulting • Marketing • Banking

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

• 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

🎯 Requirements

• 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)

🏖️ Benefits

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

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