We are seeking a highly skilled
Database Engineer
who is passionate about building, optimizing, and maintaining large-scale data platforms. In this role, you will work across the full lifecycle of database systems—from architecture and configuration to performance tuning and operational reliability.
You will join a team of talented engineers in a
fast-paced, agile environment, contributing to the development of an innovative
multi-tenant, cloud-based payments platform. This role is ideal for a motivated self-starter who enjoys solving complex data challenges and collaborating with cross-functional engineering teams.
The ideal candidate brings strong expertise in
SQL Server within Azure PaaS environments
and can provide technical guidance to engineering and product teams to ensure high-performing and secure data solutions. This position reports to the
Data and Analytics Manager.
Key Responsibilities
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Partner with a team of database engineers to support
enterprise data initiatives and platform reliability.
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Design, develop, and optimize
SQL objects including stored procedures, functions, tables, views, and triggers.
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Monitor, tune, and maintain database performance, capacity, and scalability.
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Develop long-term strategies to support the
reliability and growth of critical data systems.
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Research and implement database solutions aligned with product requirements.
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Diagnose and resolve database and infrastructure-related performance issues.
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Support environments running
multiple SQL platforms including PostgreSQL.
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Manage data lifecycle processes including
migration, replication, user access, backups, and recovery.
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Enforce and maintain
data security, retention, and governance policies.
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Contribute to cloud-based platform infrastructure across
IaaS, PaaS, and SaaS environments.
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Collaborate with development teams using
modern source control tools such as GitHub or Bitbucket.
Qualifications
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Bachelor’s degree in
Computer Science, Computer Engineering, or related field, or equivalent experience.
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5+ years of hands-on experience with MS SQL Server / T-SQL.
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3+ years of experience supporting enterprise database systems in production environments.
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5+ years of experience with Databricks in Azure.
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Strong programming experience with
Python and PySpark, working with large-scale financial datasets.
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Proven experience building and maintaining
secure, high-performance data processing pipelines.
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Excellent
communication and collaboration skills.
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Highly organized, proactive, and able to manage multiple priorities in a fast-moving environment.
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MUST be a US Citizen
Preferred Skills
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Experience designing
complex ETL pipelines across multiple platforms.
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Familiarity with
Parquet, Delta Lake, and Medallion data architecture.
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Experience with
Atlassian tools (JIRA, Confluence, Bitbucket).
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Exposure to
CI/CD pipelines and automation tools such as Azure DevOps or TeamCity.
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Hands-on experience with
Microsoft Azure cloud services.
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Knowledge of
Microsoft Fabric, Power BI, or similar analytics tools.
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Experience working in
PCI or SOC2 compliant environments.
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Familiarity with
AI-assisted coding tools such as Claude Code.
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Prior experience in the
payments or financial services industry.