Data Infrastructure and Systems Specialist

Vantage Data Centers

. Support the design and implementation of database tables, views, stored procedures, and functions .

Posted 10/16/2026full-timeUnited StatesJuniorMid-Level💰 $120,000 - $125,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in database design, implementation, and optimization, with strong skills in SQL, Python, and automation. Capable of managing data integrity and quality across complex data systems while collaborating effectively with diverse teams.

Highest-signal resume keywords

Database Design And ImplementationSQL Query DevelopmentPython And Bash ProgrammingCI/CD PracticesData Quality Control

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonBashGolangJavaMySQLPostgreSQLMicrosoft SQL ServerAzure Data LakeData Pipeline Management

Soft Skills

Analytical SkillsProblem-Solving SkillsAttention To DetailCommunication SkillsCollaboration Skills

Tools & Technologies

GitHubAzure DevOpsLiquibaseCI/CD ToolsData Quality Tools

Industry Keywords

Data EngineeringData SystemsData Quality ControlsMetering SystemsBilling Workflows

Tech Stack

Tools & technologies

AzureJavaMariaDBMS SQL ServerMySQLPostgresPythonSQLGo

About the role

Key responsibilities & impact

Support the design and implementation of database tables, views, stored procedures, and functions
Assist with approved schema changes and database deployments using change-management and CI/CD processes
Maintain version-controlled documentation for databases, configurations, data structures, and changes
Support database access requests under DBA processes and security guidelines
Develop and optimize complex SQL queries for meter-data analysis, reporting, validation, reconciliation, and troubleshooting
Investigate inefficient queries, unexpected data behavior, and source-to-downstream discrepancies
Trace data lineage from source meter tags to identify gaps, incorrect mappings, and processing issues
Develop and maintain backend services and automation using Python, Golang, Java, Bash, and SQL
Build internal tools for billing workflows, statement generation, reconciliation, scheduled jobs, and repeatable activities
Maintain GitHub-hosted tools and Azure Data Lake integrations using version control and CI/CD practices
Develop reusable solutions for manual validation, correction, and reconciliation tasks with testing, monitoring, and error handling
Monitor end-to-end data pipelines from site metering systems and BMS/Ignition through acquisition layers into PostgreSQL and Microsoft SQL Server/Historian databases
Validate data flows, configuration uploads, and meter readings for billing and reporting
Perform data reconciliation and approved interpolation or correction activities
Investigate meter and data discrepancies and coordinate corrective actions
Review meter anomalies and support metering issue resolution using Ignition and approved tools
Support monthly utility billing cycles, statement generation, billing-data validation, mock-bill verification, accuracy review, and invoice preparation
Serve as a technical contact for sample/mock billing verification and data questions during commissioning
Fulfill approved ad hoc data requests
Coordinate data and system activities for new-building onboarding, including configuration uploads, database provisioning, validation, and billing-readiness verification
Partner with Construction, Automation Systems, and other teams on billing testing and verification
Support commissioning and customer build-out activities
Review incidents, work orders, changes, releases, and related processes for data accuracy, compliance, and operational readiness
Collaborate with Application Support, Development, Site Operations, Construction, Digital Products, DBA, and GSD teams
Identify process and control gaps and implement or recommend improvements
Provide support for urgent metering, integration, pipeline, and billing-data issues
Communicate findings, business impact, risks, dependencies, and resolution status to technical and non-technical stakeholders

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Engineering, Data Science, Statistics, Engineering, or a related quantitative field, or equivalent relevant experience
Two to three years of relevant experience supporting production databases, data systems, or data-intensive applications
Experience with MySQL, MariaDB, PostgreSQL, or Microsoft SQL Server
Intermediate to advanced SQL skills
Intermediate to advanced Microsoft Excel skills
Working proficiency in Python and Bash
Experience with Golang and/or Java
Experience developing and supporting automation and backend services
Experience with GitHub, Azure DevOps, Azure Data Lake, CI/CD practices, and Liquibase or similar database change-management tools
Understanding of database structures, system integrations, data pipelines, data quality controls, and performance considerations
Strong analytical and problem-solving skills
High accuracy, thoroughness, organization, and attention to detail
Strong written and verbal communication skills
Ability to collaborate with technical and non-technical stakeholders
Ability to manage multiple priorities in a fast-paced environment
Proactive, results-oriented approach
Commitment to customer success, continuous improvement, and professional growth
Ability to occasionally lift or move up to 25 pounds

Benefits

Comp & perks

Medical, dental, and vision coverage
Life and AD&D coverage
Short- and long-term disability coverage
Paid time off
Employee assistance program
401(k) program with company match
Additional voluntary benefits
Above-market total compensation package
Health and welfare benefits
Retirement benefits
Paid leave benefits
Recognition programs
Training and development
Flexible work policy with 2 days flexible