{"id":4243446,"url":"https://alion.io/job/pge-data-platform-engineer","title":"Data Platform Engineer","company":{"id":1758874,"name":"PG&E","domain":"pge.com","url":"https://alion.io/company/pge-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Oakland, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":49,"max":77,"currency":"USD","period":"hour","gross":null,"usd_annual":154000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"MS SQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-29T07:00:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-13T12:28:29Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"Requisition ID # 174343\nJob Category: Engineering / Science\nJob Level: Individual Contributor\nBusiness Unit: Technology & Security\nWork Type: Hybrid\nJob Location: Oakland\nDepartment Overview\nTechnology & Security delivers secure, resilient, and scalable enterprise platforms that support critical business applications, infrastructure services, cloud operations, automation, and emerging technology enablement.\nPosition Summary\nThe Data Platform Engineer (DPE) builds, administers, and supports modern data and database infrastructure that enables advanced business capabilities across AWS (RDS, Aurora), Azure (Azure SQL, Cosmos DB, Synapse), and AzureLocal (SQL Managed Instance). The DPE manages cloud storage services, including AWS (S3, EBS, EFS, FSx), Azure (Blob Storage, Azure Files, Managed Disks, Data Lake Storage), and AzureLocal (Storage Spaces Direct, Azure Managed Disks).\nThe role focuses on designing reliable data pipelines and data structures that support analytics, AI, and machine learning workloads, while also providing project database administration and support for Microsoft SQL Server and PostgreSQL databases.\nThe DPE also integrates AI capabilities into database platforms to improve automation, optimization, and predictive maintenance. The role includes developing AI-driven workflows that support database maintenance, performance tuning, and data cleansing.\nInfrastructure provisioning for database and storage resources is managed through Terraform, including multi-cloud resource provisioning, lifecycle policies, encryption, replication, and access control as code. Deployment automation is implemented through Azure DevOps pipelines, including database schema migrations, storage provisioning, backup validation, and environment promotion from DEV to PROD.\nPG&E is providing the hourly rate range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual hourly rate paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.\nThe hourly rate for this position ranges from $49.04 to $77.88.\nThis position is hybrid, working from your remote office and 1-2 days per week at our Oakland Headquarters based on business need. The assigned work location will be within the PG&E Service Territory.\nJob Responsibilities\nData Platform and Engineering\nBuild, test, and deploy data solutions and data pipelines for relational databases, data lakes, and data warehouses. \nBuild and implement data integrity, data cleansing, and data retention processes. \nCreate and manage data objects within cloud storage services. \nCollect, review, and analyze data to support operational reliability and performance optimization. \nPartner with application teams to identify, analyze, and resolve data inconsistencies. \nAssist in implementing data quality controls, validation rules, reconciliation checks, schema drift handling, and automated exception reporting to improve trust in downstream analytics, AI, and reporting workloads. \nDevelop infrastructure-as-code modules and reusable deployment patterns for databases, storage accounts, networking dependencies, monitoring policies, backup configuration, replication, and environment promotion. \nSupport database and storage migrations from legacy or on-premises platforms to cloud-native architectures, including assessment, dependency mapping, cutover planning, validation, rollback planning, and post-migration optimization. \nProvide project support for Microsoft SQL Server and PostgreSQL databases in production and non-production environments. \nAssist with the installation, configuration, patching, and upgrading of SQL Server and PostgreSQL databases. \nQualifications\nMinimum:\nBachelor's degree in computer science, job-related discipline, or equivalent experience\n2 years of hands-on experience in infrastructure, systems administration, cloud operations, database support, or related Information Technology functions\n1 year of experience supporting cloud technologies, cloud services, infrastructure automation, database technologies, or cloud-based operating environments\nAWS Certified Data Engineer, Azure Data Engineer, database-related certification, or equivalent cloud platform certification\nDesired:\n3 years of experience working with databases or data platforms. \nHands-on experience supporting Microsoft SQL Server and/or PostgreSQL databases. \nWorking knowledge of relational database concepts and SQL. \nBasic understanding of database administration concepts, including backup and recovery, security, performance, availability, and database maintenance. \nExperience working in an Agile/Scrum environment. \nExperience with database monitoring and troubleshooting tools and techniques. \nExperience with scripting using PowerShell, Python, Bash, SQL, or similar scripting technologies. \nExperience with SQL, Oracle, NoSQL, Aurora PostgreSQL, RDS, Azure SQL, and Redshift. \nKnowledge of cloud technologies and services, including EC2, Lambda, Terraform, S3, OCI, CI/CD, and containers. \nExperience with database and data platform migrations. \nExperience with data management. \nUnderstanding of Agile/Scrum principles and team-based delivery practices. \nKnowledge of continuous integration and continuous deployment practices and tools. \nUnderstanding of the AI development life cycle. \nUnderstanding of machine learning concepts, platforms, and operational workflows. \nAbility to deliver work in sprints and collaborate effectively with cross-functional teams.","description_format":"text","description_chars":5813,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-13T12:18:49Z"}],"visa":[],"liveness":{"score":74,"band":"hot","label":"Hiring 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