Software Developer – Data Pipelines & Platform Tools

Lucid Motors; Newark (CA); On-site; USD 135,000 - 185,000; Full time

Job summary

Lucid Motors in Newark, CA is seeking a Software Developer to own and extend the Engineering Workflow Platforms estate, focusing on production data integration, executive analytics, and full-stack Jira-based tooling. You will decide data lineage and deployment decisions, ensuring correctness and safety in production.

The role emphasizes Python, data engineering, and cross-team collaboration, with on-site work five days a week.

Qualifications

• Production software engineering experience with ownership of data integration or internal platform tooling.
• Strong Python: package structure, type annotations, testing, CLI design, and concurrency.
• Practical SQL against large, messy operational warehouse tables (Amazon Redshift or equivalent).

Responsibilities

• Data Reconciliation Pipelines (3DX / Redshift to Jira).
• Build and operate multi-program Python pipelines that detect discrepancies between the engineering system of record and Jira, then correct them at scale across release status, electrical impact, ECR links, Assets object links, and 3DX variant codes.
• Maintain a single shared classification engine so no two pipeline stages can disagree on which source row drives a decision.
• Hold the line on safety semantics: dry-run by default, batched execution, revert snapshots for every write, and idempotent re-runs, at a scale of thousands of Jira field writes per production run.
• Synchronize Launch Quality Plan stage dates (S1 through S4) from Auros and Pegasus, and upsert thousands of Engineering Change Request records from Redshift into Jira Assets with change detection and per-run diff audit trails.
• Executive Analytics and Dashboards
• Extend a shared Python rendering library and per-program dashboard suites covering OKTC tooling kick-off status, plan versus actual release curves, LQP / PPAP maturity, MRD shipment risk, PV readiness, and ECR cycle time
• Build interactive views for executive audiences: milestone tiles, date-range brushing, click-to-drill filtering, JQL copy, and CSV export
• Keep the suite configuration driven (YAML for Jira base, custom field IDs, buckets, taxonomies, per-program milestones and JQL) so new programs and milestones are added without forking code
• Operate the orchestration layer: parallel execution behind a run lock, pinned run timestamps, schema pre-checks, shared fetch caching, and retry on transient failures
• Develop and release changes to a live Jira global-page app and issue panels, spanning roughly forty backend resolvers over Jira and Jira Assets covering revisions, base parts, stage gates, MRD / GSM / VPPR views, Part Passport workflows, bulk updates, and gate rescheduling
• Own event-driven behavior: issue-update triggers that reconcile shipment gate sets, web triggers for index hygiene, and scheduled triggers that warm the cache layer
• Enforce fail-closed access control and deploy guardrails, where instance profiles are the only source of Jira URLs and custom-field IDs
• Architecture, Proposals, and Technical Decision-Making
• Make and defend architectural decisions, including choosing the source of truth for a given field, deciding what belongs in a pipeline versus a dashboard versus the platform app, and setting caching and freshness contracts
• Write technical proposals for new capabilities and significant changes covering problem statement, options considered, trade-offs, blast radius on live production data, and the rollout and rollback plan, then socialize them with engineering and business stakeholders before building
• Production Operations and Release Safety
• Own production readiness end to end: linting, static typing, test coverage, CI, guardrail validation, staged rollout, live smoke testing, and a documented rollback path for every release
• Work day to day in GitLab with feature branches, merge requests under review, CI pipelines as the merge gate, and issue boards for planning and traceability, so every production release traces back to a merged MR
• Use GitHub Copilot and agent-based coding tools to accelerate scaffolding, test generation, refactoring, and exploration, while independently verifying every generated change against tests, linting, and live data
• Investigation, Collaboration, and Knowledge Transfer
• Root-cause cross-system data discrepancies across 3DX, Redshift, Jira, and Assets, and publish written, evidence-backed findings that other teams can act on
• Partner directly with Program Management, Tooling, Supplier Quality, and TPM stakeholders to translate launch-readiness questions into data products
• Maintain architecture documentation, developer guides, changelogs, and deployment runbooks alongside the code

Skills

Python

SQL

Jira

Data integration

Data engineering

Tools

Redshift

Jira

GitLab

GitHub Copilot

Job description

Lucid Motors in Newark, CA is seeking a Software Developer to own and extend the Engineering Workflow Platforms estate, focusing on production data integration, executive analytics, and full-stack Jira-based tooling. You will decide data lineage and deployment decisions, ensuring correctness and safety in production.

The role emphasizes Python, data engineering, and cross-team collaboration, with on-site work five days a week.