Remote Data Jobs • PostgreSQL

The Mid-Level App Data Developer is responsible for designing, developing, and maintaining domain-specific databases and backend data solutions. This role ensures high performance, scalability, and data integrity in support of business-critical applications. You’ll work closely with engineering, analytics, and operations teams to align on data strategy and support application performance through optimized database design and queries.

Lead the design, development, and scaling of our data migration and integration pipelines – critical systems that support onboarding new enterprise customers and enable seamless interoperability with external platforms. As Senior Data Engineer, you’ll own the architecture and implementation of core ETL workflows that ingest, transform, and validate complex healthcare data from other systems. Your work will be central to improving customer onboarding speed.

Design, build, and maintain the data foundation behind our next-generation AI agent platform. You’ll work closely with AI/ML teams to power training, inference, and continuous learning through highly scalable data pipelines and cloud-native architectures. If you’re passionate about data infrastructure, performance optimization, and driving data quality at scale, we want to hear from you.

Administer, test, and implement computer databases applying knowledge of database management systems. Coordinate changes to computer databases and implement security measures to safeguard databases. Apply technical knowledge across teams to support architecture and design solutions, create cloud data models and architecture using deployment and monitoring automation code, and ensure long term technical viability of cloud master data management integrated repositories.

As a Staff Data Engineer, you will be the most senior individual contributor as well thought leader working mostly independently on a RWE team. You will play a critical role as a technical expert working as an IC, shaping the technical strategy and architecture of our internal Real World Evidence product. This position requires a high degree of independence and the ability to navigate and resolve complex technical challenges with minimal oversight.

As a Senior Data Engineer, you will be responsible for maintaining and curating Kiln's internal data platform, supporting teams in integrating their data needs onto the platform, building data models to address business needs, and serving as a technical expert to establish data management standards at Kiln.

As a Data Engineer at Chartbeat, you will be designing, building, scaling, and maintaining our data pipelines, data stores, analysis engines, and APIs. You will primarily be contributing code within a cross-functional team, typically a few engineers, a designer, a data scientist, and a product manager. You will also participate in the engineering on call rotation to monitor and maintain the health of our production systems.

Seeking an experienced Cloud DBA Manager with expertise in SQL Server on Azure and AWS. The ideal candidate will have strong leadership skills and ability to drive database strategy in a cloud environment. You will manage, optimize, and ensure the performance, security, and availability of databases while working closely with Engineering, Platinum Engineering, DevOps, SRE and Observability.

This position is within the Tolling Services team, specializing in electronic road-charging solutions, developing intelligent, kilometer-based tolling systems for international customers. As a Database Engineer, you will be involved in everything related to Oracle, PostgreSQL (and NoSQL) databases, supporting developers and DevOps Engineers, digging deep into complex problems, and trying out new technologies to improve our know-how.

Join our Elections Team and help build and scale innovative local election experiences and tools that empower voters throughout the 2025/2026 election cycle. Build and manage robust data pipelines that unify information from third-party civic data providers, scraped sources, and internal editorial overrides into a clean, authoritative dataset. Design and evolve the data models that support fast, accurate lookups of candidate, race, and ballot-level information based on geographic and jurisdictional context.