Data Engineer for Data Governance – APIs developer

Hewlett-Packard Company

Spring (TX)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

Hewlett-Packard Company in Spring, Texas, is seeking an experienced Data Engineer to lead project teams in developing complex data solutions. The successful candidate will have a strong background in data analytics and engineering, as well as proficiency with tools like SQL and Python.

The role involves ensuring data integrity, providing leadership in cross-organizational projects, and collaborating with teams to drive innovation in data technologies. A graduate degree and significant experience in the field are preferred. The company offers a dynamic work environment focused on technological advancement.

Qualifications

Typically has 7-10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.

Responsibilities

Leads one or more project teams of data engineers for design and development of data solutions.
Ensures compliance with architecture, security and quality standards.
Provides leadership and expertise to cross-organization projects.
Drives innovation in big data technologies.
Collaborates with project teams on progress and issue resolution.
Leads API solution design for data connectivity.
Designs and builds API systems following architecture guidance.
Represents data engineering in larger development projects.
Coaches business analytics users to enhance decision‑making.
Maintains high levels of data integrity.
Builds organizational relationships.
Mentors less experienced staff.

Skills

Agile Methodology

Amazon Web Services

Apache Hadoop

Apache Kafka

Apache Spark

Big Data

Data Analysis

Data Engineering

Data Modeling

Data Pipelines

Data Warehousing

Extract Transform Load (ETL)

Java

Machine Learning

Microsoft Azure

Python

Scala

SQL

Education

Four‑year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/Mathematics

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