Senior Data Solutions Engineer: Big Data & ML

HP; Spring (TX); On-site; USD 131,000 - 205,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Parental leave (4-12 weeks)

Holidays (11)

Generous paid vacation and sick leave

Job summary

HP is seeking a Data Solutions - Data Engineer to lead data collection, cleansing, and modeling for ML-ready datasets. You will analyze data from primary and secondary sources, ensuring integrity and compliance while solving complex business problems.

The role involves guiding project teams, driving new technologies in the big data space, and mentoring staff. Expect collaboration across orgs, with a focus on scalable data pipelines and robust ETL processes.

Qualifications

• Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or commensurate work experience.
• Typically 7-10 years of work experience in data analytics, data engineering, data modeling, or related field.
• Programming Language Certification (SQL, Python, or similar) preferred.

Responsibilities

• Leads one or more project teams of other data engineers for design and development of data solutions and models.
• Reviews designs for architecture, security and quality guidelines; provides feedback to improve product quality.
• Provides domain-specific expertise and data systems leadership across projects.
• Drives innovation and integration of new technologies into big data projects.
• Collaborates with project teams on progress and issue resolution.
• Represents the data engineering team for phases of large development projects.
• Coaches analytics solution users to enhance business decision-making capability.
• Ensures data integrity using tools to monitor and mass update data changes.
• Builds and manages internal relationships; mentors less experienced staff.

Skills

Data engineering

Big Data

Python

SQL

Java

Scala

Spark

Hadoop

Kafka

AWS

Azure

Data Warehousing

ETL

Data Modeling

Machine Learning

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Hadoop

Apache Kafka

Apache Spark

SQL

Python

Job description

HP is seeking a Data Solutions - Data Engineer to lead data collection, cleansing, and modeling for ML-ready datasets. You will analyze data from primary and secondary sources, ensuring integrity and compliance while solving complex business problems.

The role involves guiding project teams, driving new technologies in the big data space, and mentoring staff. Expect collaboration across orgs, with a focus on scalable data pipelines and robust ETL processes.