Analytics Automation Engineer (Python/Databricks)

survey, and research data.

The Role
We are hiring a hands-on builder to develop Python and Databricks tools that eliminate manual work and improve the reliability, speed, and consistency of analytics workflows. You will partner closely with analysts and safety stakeholders in PSDA to translate operational pain points into scalable automation, reusable tooling, and repeatable outputs.

This role is ideal for someone who owns problems end-to-end: clarifying requirements, shipping tools, improving performance, and documenting solutions so they can be supported by the team. The work includes applied AI enablement for large-scale unstructured text workflows (AI Query and related tools), and we are looking for candidates who have demonstrated experience using AI in production or operational settings.

We prioritize strong builders who can ship and support tools; candidates are not expected to be experts in every preferred area.

What You'll Do (Responsibilities)

• Map end-to-end workflows with stakeholders, identify and prioritize automation opportunities (AI, APIs, logic-based automation), quantify impact, and maintain a backlog of improvements.

• Build and maintain Python tools in Databricks notebooks that replace manual processes end-to-end, including reusable templates and clear documentation/runbooks.

• Enable and troubleshoot AI-assisted unstructured text classification workflows (AI Query, AI agents, and related tools), improve reliability and consistency, and implement agent-based automation where appropriate.

• Drive data quality and reliability across data flows, including deduplication, special character and encoding cleanup, file splitting, exports/uploads, performance tuning, and repeatable validation checks

• Build and maintain Excel automation for workflows that remain Excel-based (macros and VBA preferred).

• Create standardized charts and outputs produced by your tools and notebooks so stakeholders can interpret trends and act quickly.

• Optional: publish dashboards and self-serve reporting (Power BI or Tableau) when helpful.

Yours Skills & Abilities (Required Qualifications):

• Strong Python coding ability (debugging, writing maintainable code, building tools).

• Experience using Databricks (or similar notebook-based platform) and strong SQL skills.

• Demonstrated ability to build tools and workflows end-to-end and improve underperforming solutions.

• Practical experience fixing messy data workflow issues (deduplication, text cleaning, special characters/encoding, unstructured text handling, file handling).

• Experience applying AI to real workflows (for example unstructured text classification, extraction, summarization, or decision support), including basic quality and reliability practices.

• Ability to take ambiguous requests and deliver working, documented solutions with minimal supervision.

• Strong communication skills with non-technical partners (clear expectations, status, tradeoffs, and handoffs).

• Strong organizational skills and ability to prioritize multiple tasks without sacrificing quality.

What Can Give You a Competitive Edge (Preferred Qualifications):

• Hands-on Excel automation using VBA/macros.

• Experience with AI and LLM workflows for text classification (prompt patterns, evaluation, consistency improvements, guardrails)

• Experience implementing AI agents and workflow automation using enterprise AI tools and/or internal agent frameworks.

• Experience improving AI workflow quality and stability (prompt patterns, evaluation/spot-checking, consistency improvements, guardrails, human-in-the-loop patterns).

• Experience implementing workflow automation using APIs and/or agent frameworks and enterprise AI tools.

• Familiarity with Spark concepts, job scheduling, Git/version control, and basic testing practices.

• Background in analytics engineering and data enablement practices (standards, reusable datasets, data quality checks).

• Optional BI experience (Power BI/Tableau).

• Optional: experience creating and maintaining data pipeline architecture and assembling large, complex datasets that meet business requirements

#LI-KE2

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job may be eligible for relocation benefits.

The position is subject to export control restrictions and requires the successful candidate to be either a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee) or a non-U.S. Person who is eligible to obtain any required export control authorization

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