Data Engineer 16607

ZealHire Inc.; Chicago (IL); Hybrid; USD 120,000 - 170,000; Full time

Job summary

United Airlines is hiring for a data engineering role within the Product Analytics team. The candidate will partner with multiple teams to build and operationalize data pipelines, data models, and analytics solutions across a distributed AWS environment.

We value strong problem-solving, communication, and leadership, with hands-on experience in Python, SQL, and cloud technologies. This hybrid role requires collaboration across functions and timely delivery of data-driven insights.

Qualifications

• Bachelor's degree in quantitative field (statistics, software engineering, business analytics, information systems, aviation management or related degree).
• 5+ years of experience in data engineering or ETL development role.
• Experience performing root cause analysis on internal and external data and processes to answer business questions.
• Strong analytic skills with structured, semi-structured, and unstructured data.
• Experience with Big Query, SQL Server, etc.
• Experience with AWS cloud services: Redshift, S3, Athena, etc.
• Experience with SQL and database tools (SSMS, Oracle SQL Developer).
• Passion for solving problems through data and analytics and creating data products.
• Strong ownership and validation/testing mindset with business-user perspective.
• Clear, precise communication of quantitative concepts.
• Proficiency with Microsoft Excel and PowerPoint.
• Strong problem-solving and communication skills.

Responsibilities

• Partner with cross-functional teams to define and execute data acquisition, storage, transformation and data products.
• Work with United's data sources and analytics to enable actionable insights.
• Support large-scale data pipelines in a distributed, scalable environment.
• Optimize and productionize the AWS data infrastructure and frameworks.
• Create Terraform modules to automate deployments.
• Leverage Databricks and Datalake technologies in data workflows.
• Collaborate with developers and stakeholders to deliver data-driven solutions.
• Lead design and development of batch and streaming data applications using AWS tech.
• Provide technical direction and resolve queries and issues.
• Possess AWS Certification and apply best practices.

Skills

DevOps

AWS Cloud

Terraform

Python

CI/CD pipelines

Education

Bachelor's degree in quantitative field

Master's degree

Tools

Databricks

BigQuery

SQL Server

Redshift

S3

Athena

Oracle SQL Developer

Job description

USC/GCNeed LinkedIn, VISA DLHybridLocals with Airlines exp

Overview/Summary:

• The Product Analytics team at United Airlines is on a transformational journey to unlock the full potential of enterprise data, build a dynamic, diverse, and inclusive culture and develop a modern cloud-based data lake architecture to scale client’s applications, and drive growth using data and machine learning.
• Client’s objective is to enable the enterprise to unleash the potential of data through innovation and agile thinking, and to execute on an effective data strategy to transform business processes, rapidly accelerate time to market and enable insightful decision making.

Job Overview And Responsibilities:

• In this role candidates will partner with various teams to define and execute data acquisition, storage, transformation, processing and make data actionable for operational and analytics initiatives that create sustainable revenue and share growth.
• This role requires expertise in United’s data sources and technology business intuition, and a working knowledge of data transformation and analytical tools.
• Support large scale data pipelines in a distributed and scalable environment
• Enable and optimize production AWS environment for data infrastructure and frameworks
• Expert in creating Terraform modules to automate deployments
• Knowledge of Databricks and Datalake technologies
• Partner with development teams and other department leaders/stakeholders to provide cutting edge technical solutions that enable business capabilities
• Participate and lead in design and development of innovative batch and streaming data applications using AWS technologies
• Provide the team technical direction and approach to be undertaken and guide them in resolution of queries/issues
• AWS Certification
• Knowledge: Python, Bash scripting, PySpark, AWS Services (Airflow, Glue, Lambda, others), Terraform, Databricks
• Skills: Thorough troubleshooter, Hands on AWS Technology leader, People person and ability to conclude an undertaking
• Ability: Solve problems under pressure and in constrained scenarios, Leadership, Making right judgement
• Must be fluent in English (written and spoken)
• Coordinate and guide cross-functional projects that involve team members across all areas of the enterprise, vendors, external agencies, and partners
• Ability to manage multiple deliverables both short and long-term in a busy and aggressive environment, while staying flexible to dynamic needs and priority levels
• Manage agile development and delivery by collaborating with project manager, product owner and development leads

Required:

• Bachelor's degree in quantitative field (statistics, software engineering, business analytics, information systems, aviation management or related degree)
• 5 plus years of experience in data engineering or ETL development role
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with structure, semi- structure, and unstructured datasets.
• Experience with Big Query, SQL server, etc.
• Experience with AWS cloud services: Redshift, S3, Athena, etc.
• Experience with SQL and various database interface tools: SSMS, Oracle SQL developer, etc.
• Passionate about solving problems through data and analytics, and creating data products including data models
• Strong initiative to take ownership of data-focused projects, get involved in the details of validation and testing, as well as provide a business user perspective to their work
• Ability to communicate complex quantitative concepts in a clear, precise, and actionable manner
• Proven proficiency with Microsoft Excel and PowerPoint
• Strong problem-solving skills, using data to tackle problems
• Outstanding writing, communication, and presentation skills

Preferred:

• Master's degree
• Experience with Quantum Metrics and Akamai
• Experience with languages: Python, R, etc.
• Strong experience with continuous integration & delivery using Agile methodologies
• Data engineering experience with transportation/airline industry
• Strong problem-solving skills

Top 5 Skill sets:

• DevOps
• AWS Cloud
• Terraform
• Python
• 5 CI/CD pipelines

Nice to have skills or certifications:

• Blue-Green deployments
• Kubernetes
• Ansible Playbooks

$000,000 – $000,000 Salary range is not shown on the candidate portal