Data Engineer for Data Governance – APIs developer

Hewlett-Packard Company; Vancouver (WA); On-site; USD 100,000 - 130,000; Full time

Job summary

Hewlett-Packard Company is seeking an experienced data engineer in Vancouver, WA to oversee projects that involve complex data solutions and models. The candidate should have extensive experience in data analytics and engineering, including proficiency in SQL and Python.

The role includes leading teams, ensuring data integrity, and driving technical innovations. Qualified candidates should hold a degree in Computer Science or related field, along with certifications in programming languages.

Qualifications

• Typically has 7-10 years of work experience in data analytics or related field.
• Demonstrated competence in data engineering and data modeling.

Responsibilities

• Leads project teams for data solution design and development.
• Reviews designs for compliance with standards and quality guidelines.
• Drives innovation and integration of new technologies.
• Collaborates on project progress and resolution of issues.
• Designs API solutions for systems connectivity.
• Ensures high level of data integrity and uses monitoring tools.
• Mentors less experienced staff members.

Skills

Agile Methodology

Amazon Web Services

Apache Hadoop

Apache Kafka

Apache Spark

Data Analysis

Data Engineering

Data Modeling

Extract Transform Load (ETL)

Machine Learning

SQL (Programming Language)

Python (Programming Language)

Java (Programming Language)

Scala (Programming Language)

Education

Four-year or Graduate Degree in Computer Science or related field

Job description

This role is responsible for data collection procedures, including accurate and relevant data for data governance applications. The candidate needs to show proficiency in application configuration, application integrations and connectivity using APIs. The candidate needs to have experience in extracting and analyzing data and metadata from the primary and secondary database. The role ensures data integrity and compliance by performing data and metadata cleansing and data validations. The role performs root‑cause analysis and recommends or executes corrective actions when systems problems occur.

Responsibilities

• Leads one or more project teams of other data engineers for all stages of design and development for complex, secure and performant data/meta data solutions and models, including design, analysis, coding, testing, and integration of structured/unstructured data.
• Reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
• Provides domain‑specific expertise and overall data systems leadership and perspective to cross‑organization projects, programs, and activities.
• Drives innovation and integration of new technologies into projects and activities in the big data space.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Lead the API solution design to enable systems connectivity to send and receive data / metadata from and to the application.
• Design and build API solutions and other data and metadata systems integration following architecture guidance.
• Represents the data engineering team for all phases of larger and more‑complex development projects.
• Assists in the coaching and training of business analytics solution users to enhance business decision‑making capability.
• Ensures and maintains a high level of data integrity by using tools to monitor and mass update data changes.
• Builds and manages relationships throughout the organization.
• Provides guidance and mentoring to less experienced staff members.

Education & Experience Recommended

• Four‑year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.

Preferred Certifications

• Programming Language/s Certification (SQL, Python, or similar)

Knowledge & Skills

• Agile Methodology
• Amazon Web Services
• Apache Hadoop
• Apache Kafka
• Apache Spark
• Big Data
• Computer Science
• Data Analysis
• Data Engineering
• Data Modeling
• Data Pipelines
• Data Warehousing
• Extract Transform Load (ETL)
• Java (Programming Language)
• Machine Learning
• Microsoft Azure
• Python (Programming Language)
• Scala (Programming Language)
• Scalability
• SQL (Programming Language)

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope

• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross‑functional initiatives.

Complexity

• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.