Senior AI Analytics Engineer at Ericsson
Plano, TX
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Jul 14, 2026
Plano, TX
Jul 21, 2026
What this job asks for AI summary
A senior engineering role on a Finance AI & Analytics team, focused on building AI agents, internal applications, and workflow automations that executive leadership uses for financial decision-making. The work involves translating ambiguous business questions into production-ready tools using SQL, Python, AI coding assistants, and a dbt-on-Snowflake analytics stack. Suited to engineers with a demonstrated history of shipping agentic or automation projects to real users.
Senior level · Dallas-Fort Worth-Arlington, TX · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 350 people in the Dallas-Fort Worth-Arlington, TX area plausibly meet what this posting asks for (database architects). range 260–450
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $158,173 (middle half $132,644–$169,109).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
This role sits at a genuine crossroads between analytics engineering (dbt/Snowflake data modeling → 15-1243) and application/AI-agent software development (building agentic workflows, automations, and user-facing apps → 15-1252). The posting's own job-details label it 'IT Data Engineer', but the primary day-to-day work described — shipping AI agents, applications, and automations — leans more toward software development. The data-modeling component (dbt on Snowflake) is explicitly listed as a nice-to-have and something the team will teach. 15-1243 was chosen because the team's core output is grounding AI agents in curated data models and semantic views, but 15-1252 is a strong runner-up given the emphasis on building and shipping applications.
The role is hybrid (3 days onsite) in either Plano, TX or Boise, ID. The CBSA reported is Dallas-Fort Worth (Plano, TX) as the larger and more likely primary location; Boise, ID (CBSA 14260) is an equally valid alternative site.
No specific total years of experience are stated in the posting.
Compensation figures are described as location- and experience-dependent but no salary range is published; the pay band fields are left blank accordingly.
AI coding tools (Claude Code, Codex, or similar) are explicitly called out as 'core to how we build, not a nice-to-have' and sit in the primary skills section — treated as a hard requirement. The alternatives field captures the two named tools since any one of them satisfies the requirement.
dbt, Snowflake, Streamlit, workflow automation platforms, and agent frameworks all appear under the 'Nice to Have' heading and are marked preferred. The LLMs skill captures the broader 'agent frameworks / semantic layers for AI systems' cluster from that same section.
Read the full posting
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