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Technical Project Manager Data Engineering Data Science

  • Dallas, TX, United States

$60 to $70 USD / hour

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Job details

Pay
$60 to $70 USD / hour
Posting language
English
Posted

Original job description

Benefits:

  • HYBRID
  • Competitive salary
  • Opportunity for advancement

Technical Project Manager | Data Engineering & Data Science Location: Dallas, TX Hybrid (Onsite + Remote) Employment Type: Full Time / Contract (W2) Duration: 12+ Months (Ongoing) Cloud Environment: Amazon Web Services (AWS) Team Structure: US Onsite Teams and Offshore GCC Teams Compensation: Competitive Market Rate

We are seeking an experienced Technical Project Manager with strong expertise in Data Engineering and Data Science programs to lead enterprise initiatives within a large commercial airline environment.

In this role, you will coordinate project delivery between onsite leadership in the United States and offshore Global Capability Center (GCC) teams, driving AWS-based Data Engineering, Analytics, and Machine Learning initiatives from planning through successful delivery.

Required Qualifications Technical Skills

  • Experience managing Data Engineering and/or Data Science projects
  • Strong understanding of AWS data services: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • Amazon Athena • Amazon SageMaker • AWS Lambda • AWS Step Functions
  • Knowledge of ETL/ELT frameworks and modern data pipeline architecture
  • Familiarity with Machine Learning lifecycle management
  • Experience with Agile delivery methodologies (Scrum or SAFe)
  • Experience using Jira, Confluence, or similar project management tools
  • Understanding of cloud security, data governance, and data quality best practices

Project Management

  • Experience managing complex enterprise technology programs
  • Experience coordinating onsite and offshore GCC teams
  • Strong skills in project planning, dependency management, risk management, and stakeholder communication
  • Ability to communicate technical concepts effectively to executive leadership

Professional Skills

  • Excellent verbal and written communication
  • Strong organizational and planning abilities
  • Ability to manage multiple priorities in a fast-paced environment
  • Comfortable working with cross-functional and multicultural teams

Key Responsibilities

Project Delivery

  • Lead end-to-end delivery of Data Engineering and Data Science initiatives
  • Define project scope, timelines, milestones, and success metrics
  • Manage project plans, RAID logs, risk registers, and executive status reporting
  • Lead Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives

Offshore Team Coordination

  • Serve as the primary liaison between onsite stakeholders and offshore GCC teams
  • Coordinate work across multiple time zones
  • Manage resource planning, priorities, escalations, and delivery governance
  • Ensure transparency and accountability across distributed teams

Technical Leadership AWS Technologies: Amazon S3 • AWS Glue • Amazon Redshift • Amazon EMR • AWS Lambda • Amazon SageMaker • Amazon Athena • AWS Step Functions

Preferred Qualifications Certifications : PMP • PMI-ACP • Certified Scrum Master (CSM) • SAFe • AWS Cloud Practitioner • AWS Solutions Architect Industry Experience :Commercial Airlines • Travel • Transportation • Logistics Additional Technical Experience : Kafka • Amazon Kinesis • Tableau • Amazon QuickSight • Microsoft Power BI • DataOps • MLOps Domain Knowledge :Passenger Operations • Revenue Management • Fleet Analytics • Loyalty Programs

Flexible work from home options available.

More about this job

Skills

  • Data engineering
  • AWS
  • Microsoft Teams
  • Amazon Redshift
  • EMR
  • Machine learning
  • Agile
  • Scrum
  • Jira
  • Atlassian Confluence
  • Project management
  • Risk management
  • Communication skills
  • Reporting
  • Leadership
  • PMP
  • Paramedic
  • CSM
  • Logistics
  • Apache Kafka
  • Amazon Kinesis
  • Tableau
  • Microsoft Power BI
  • Manage hospitality revenue
  • Google Analytics

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