ukg

Data Platform Engineer

DMSi

Omaha, USA

Full-time

Mid · 3+ years experience

Onsite

Discovered Yesterday

PostgreSQLKafkaPython

Free

Job Fit Check

Base Career helps you apply smarter for this job.

Ready to Scan

Key skills for this role

PostgreSQLKafkaPython

Design and build data pipelines that move data reliably from source systems into the analytics platform, using change data capture, event streaming, and related integration patterns.
Design, implement, and maintain PostgreSQL schemas and data models that support scalable, multi-tenant analytics.
Build and maintain the dashboard data layer that powers customer-facing analytics and reporting.
Develop and maintain per-customer data provisioning workflows so new customers and data sources onboard onto the platform consistently.
Apply infrastructure-as-code practices to provision, configure, and manage data platform environments in a repeatable and auditable way.
Monitor data pipeline health, performance, and data quality, and troubleshoot and resolve latency, throughput, and accuracy issues.
Partner with product management and engineering teams to translate reporting and analytics requirements into data platform capabilities.
Collaborate with database administration and infrastructure teams to ensure the data platform integrates cleanly with the broader hosting environment and follows established security and access control standards.
Document data platform architecture, data flows, and operational procedures to support ongoing maintenance, on-call response, and knowledge sharing across the team.
Evaluate tools, platforms, and approaches that improve the reliability, scalability, and performance of the data platform, and recommend adoption where warranted.

Strong hands-on experience with PostgreSQL, including schema design, query optimization, and data modeling for analytical workloads. Experience with Kafka or a comparable event streaming or message platform, including change data capture pipeline design. Experience with cloud infrastructure and infrastructure-as-code tooling. Proficiency in at least one programming or scripting language, such as Python, for pipeline and automation development. Familiarity with data modeling principles for multi-tenant, analytics-oriented systems. Working knowledge of data security and access control practices appropriate to a multi-tenant analytics environment. Strong problem-solving skills and the ability to work independently through ambiguous technical problems. Clear written and verbal communication skills, including the ability to document technical designs for both technical and non-technical audiences. Experience with monitoring and observability tooling is a plus.

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Trusted by over 500,000 job seekers on Base Career