Reltio is hiring an Associate Software Engineer in Dallas, Texas, offering an attractive salary range of $100,000–$150,000 per year. This is a strong opportunity for an early-career software professional looking to build scalable software solutions, work with experienced engineering teams, and grow within the enterprise software and data management industry.
Job Overview
| Field | Details |
|---|---|
| Company Name | Reltio |
| Role | Associate Software Engineer |
| Qualification | Bachelor’s degree in Computer Science, Software Engineering, or a related field |
| Job Location | Dallas, Texas, United States |
| Salary | $100,000–$150,000 per year |
| Work Type | On-site / Hybrid |
| Job Type | Full-Time |
| Job Level | Entry Level / Associate |
| Industry | Enterprise Software / Data Management |
Job Description
We’re building Business Ontology, a new capability built on top of the Reltio Data Cloud platform and Reltio AgentFlow. Reltio provides the trusted, governed data foundation entities, relationships, and a real-time data graph — and AgentFlow provides the agentic AI layer that acts on that data. Business Ontology extends both: it captures the meaning of enterprise data (domains, business terms, and their relationships) and connects that meaning to the physical data assets across source systems, so the ontology becomes the governed, explainable context that grounds search, analytics, and AI agents. You’ll do core engineering on the pipeline behind this — importing metadata from source systems, using LLMs to enrich and map it, forming a semantic graph that links physical data to business definitions, and integrating it all with the Reltio platform.
Skill required:
Pipeline & services
- Design, build, and own backend services that run the metadata, ingestion-and-generation pipeline reliably and at scale.
- Own the pipeline stages end to end — discovery, transform, load, and generation —including how they’re sequenced, orchestrated, and recovered on failure.
- Define clear service boundaries and APIs so the system stays modular as new capabilities are added.
Source integration
- Implement source adapters against a common interface — connect, discover metadata, and stream records — beginning with platforms such as Databricks and Snowflake and extending to additional sources over time.
- Extract and normalize the full picture from each source: catalogs, tables, columns, data types, keys, lineage, and usage statistics.
- Keep adapters resilient to source-specific quirks, large schemas, and incremental Re-runs.
LLM-driven enrichment & mapping
- Build the LLM integration layer: prompt construction, structured-output parsing, schema validation, retries, and token / cost management.
- Implement enrichment that turns cryptic technical metadata into clear,business-readable descriptions and labels.
- Implement mapping logic that connects physical columns to business terms, with confidence scoring and supporting evidence captured for every proposal.
Semantic graph formation
- Build the logic that links physical data assets to business definitions — deterministic connections derived from ground-truth metadata, and AI-proposed connections that
require review.
- Route AI-generated proposals through a human-approval step, so trusted facts and machine suggestions are treated differently by design.
- Ensure the resulting graph is consistent, traceable, and safe to rebuild as sources Change.
Platform integration (Reltio & AgentFlow)
- Integrate with the Reltio platform to write entities, relationships, and graph structures,with idempotent, re-runnable loads.
- Apply the platform’s governance, provenance, and survivorship model so human-curated meaning always takes precedence over machine-generated suggestions.
- Support the consumption path — graph traversal and the interfaces that let AgentFlow agents resolve and query the ontology to answer business questions.
Reliability, quality & collaboration
- Make the pipeline observable and resilient — job orchestration, state tracking, artifact storage, and resume-on-failure.
- Establish engineering quality through testing, validation checks, monitoring, and sensible error handling across the pipeline.
- Partner closely with product, ontology modelers, and data stewards to turn the design into a shippable, maintainable service, and help shape technical direction as the capability grows.
Selection Process
- Application submission and resume screening
- Initial recruiter/HR screening
- Technical assessment or coding evaluation
- Technical interview with the engineering team
- Behavioral and team-fit interview
- Final interview
- Offer and background verification
How to Apply
- Visit the official Reltio careers page or the relevant job application page.
- Search for the Associate Software Engineer position in Dallas, TX.
- Review the job requirements and qualifications.
- Prepare your updated resume and relevant professional details.
- Complete the online application form.
- Submit your application and monitor your email for further communication.
- Prepare for the technical and interview stages if shortlisted.
