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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer (contract) - **Company:** Wells Fargo - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Automation of Tests, CA Workload Automation Ae, BigQuery, Profiling, Code Review, Computer Programming, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Migration, Data Warehousing, Software Debugging, Distributed Computing Environment, Identity and Access Management, Python (Programming Language), Unix Shell, Metadata, Oracle (Applications), Performance Tuning, Standard Sql, Software Engineering, PL-SQL, SQL Databases, Teradata SQL, Apache Spark, Ab Initio, Pyspark, Git Flow, Data Pipelines, Jenkins - **Published:** July 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8a86e7ffe1b03ee9 ## About the Role In this contingent resource assignment, you may: Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables. Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors. Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements. Collaborate with client personnel in Software Engineering. Required Qualifications: Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education., * Experience working in hybrid environments (on-prem + cloud) and supporting data migration/modernization initiatives. * Experience with scheduling/orchestration in Autosys and Airflow-based orchestration (Cloud Composer direction). * Experience with Git-based workflows, code reviews, and automated testing practices for data pipelines. * Experience with Harness, Jenkins and uDeploy based CICD environments. * Practical experience using AI-assisted coding tools in daily development to improve productivity without compromising quality or security. * Ab Initio development/maintenance experience and/or hands-on migration of Ab Initio graphs to modern Spark/SQL patterns. * Experience with Dataplex and broader data governance concepts (metadata, classification, stewardship, lineage practices). * Experience with Informatica Data Quality implementation patterns (profiling, rules, scorecards/metrics, exception workflows). * Experience designing near real-time patterns (micro-batch/event-driven concepts) and handling late-arriving/out-of-order data. * Familiarity with GCP operational practices for data workloads (service accounts/IAM basics, job monitoring, quota/cost controls). Key Requirements: * Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship. * Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education * PL/SQL and SQL skills with proven experience in Oracle, Teradata, Python and/or BigQuery: complex query development, tuning, and debugging. * Ab Initio skills with proven experience to build complex graphs, Psets, performance tuning. * UNIX Shell Script * programming skills in Python; hands-on PySpark for distributed data processing * ETL/ETL design, data warehousing concepts, and data modeling best practices ## Description * Production operations experience: monitoring, SLAs, incident response, root cause analysis, and performance optimization. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Got AI ideas but no money? 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