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MongoDB​/Python Developer->Chandler

Job in Chandler, Maricopa County, Arizona, 85249, USA
Listing for: ManpowerGroup Global, Inc.
Part Time position
Listed on 2026-04-27
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, Data Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below


* W2 ONLY - NO C2C!*

Title:
Mongo

DB/Python Developer


Location:

Chandler, AZ - hybrid (3 days/week in office)
Contract Term: 12-18 months

Top Skills
  • Python Development
  • MongoDB
  • Great communication
Interview Process

2 Rounds: live coding, then amanagerial round

Job Description /Requirements

The Mongo

DB SME will be responsible for designing, governing, and optimizing enterprise Mongo

DB data platforms that support mission-critical applications and high-volume workloads. This role requires deep expertise in Mongo

DB architecture, distributed database design, replication and sharding strategies, data modeling, performance tuning, security controls, and operational resiliency. As a key technical leader, the Mongo

DB SME will partner closely with application engineering, platform/Dev Ops, infrastructure, and security teams to translate business and technical requirements into scalable, secure, and durable database solutions, guiding teams from initial design through production rollout and steady-state operations.

  • 8+ years of hands-on experience working with Mongo

    DB in enterprise production environments, including design, deployment, and operational support.
  • 8+ years of experience designing and operating Mongo

    DB replication and high-availability patterns, including failover behavior and read/write topology design.
  • 8+ years of experience implementing and managing Mongo

    DB sharding for large datasets and high-throughput applications.
  • 8+ years of experience in performance tuning, including index design, query plan analysis, aggregation optimization, connection/session management, and workload profiling.
  • 8+ years of experience applying distributed systems tradeoffs, including consistency models, replication lag, failure isolation, and multi-region architecture patterns.
  • 8+ years of experience with backup and recovery tooling and strategies, including validation of restores and disaster recovery exercises aligned to RPO/RTO targets.
  • 8+ years of experience with Linux administration and scripting (bash and/or Python) to automate database operations, health checks, and diagnostics.
  • 8+ years of experience integrating Mongo

    DB with CI/CD pipelines and infrastructure automation practices (IaC, configuration management, repeatable deployments).
  • 8+ years of experience with application integration patterns, including Mongo

    DB drivers, connection pooling, ORM/ODM usage patterns (where applicable), and transaction semantics
  • Communication - Speaks clearly and concisely, tailoring guidance to engineering, platform, and business stakeholders.
  • Critical Thinking - Diagnoses complex performance and stability issues across queries, indexing, replication, sharding, and infrastructure layers using evidence-based analysis.
  • Risk Management - Identifies data integrity and resiliency risks early; balances performance and availability needs with durability and compliance requirements.
  • Task Management - Breaks complex database initiatives into actionable deliverables, aligns tasks to the right owners, and drives execution across teams.
  • Operational Excellence - Establishes monitoring standards, capacity thresholds, runbooks, and incident response practices that reduce MTTR and improve reliability.
  • Strong familiarity with project planning and tracking tools (e.g., Jira, Microsoft Project), and proven ability to support multiple concurrent initiatives across the SDLC.
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