Data Engineer -

thehivecareers.co; Oregon (WI); Hybrid; USD 90,000 - 120,000; Full time

Job summary

A leading data analytics firm in Oregon seeks a Data Engineer to design and develop data models, ensuring the integrity and quality of collected data. The ideal candidate will possess strong SQL knowledge and a background in machine learning and statistics. Responsibilities include creating reports, developing data structures, and collaborating with data scientists. Candidates should have at least a BS/BA degree in a relevant field and 5+ years of experience in handling large datasets and database development.

Qualifications

• Preferred MS degree in relevant field.
• 5+ years experience with large datasets.
• Strong experience in database development.

Responsibilities

• Ensure data requirements and delivery of roadmap.
• Assess data to determine strategic data management.
• Identify data security requirements and assess risk.
• Produce data via SQL and programming tools.
• Develop reports and dashboards.

Skills

SQL knowledge

Machine learning

Statistics

Data mining

Database development

Education

BS/BA in computer science, statistics, mathematics

Tools

R

Python

C++

Java

Hadoop

Job description

The data engineer designs and develops data models, collects and analyzes data for insights and communicates how those findings improve reliability, customer experience, profitability and other relevant factors. He / She also captures, transforms and stores clean data, leaving it ready for consumption.

This role will be integral in ensuring the quality of the data collected, and the ability to leverage that data to create meaningful information for technical performance and strategic business decision making. It will provide the data insights and trends needed to evolve the product based on user behaviours and data trends.

RESPONSIBILITIES AND DUTIES

• Ensure data requirements and delivery of robust and complete roadmap
• Assess data to determine strategic approach to data management and identify data dictionary
• Identify data security requirements and assess risk to determine security features
• Assess computational power required derived from data and analytics technology
• Estimate milestones, resources and costs
• Produce data via SQL and other programming tools
• Develop reports and dashboards
• Design and develop data and information structures
• Capture data and modify programs to extract information from company databases
• Engage with data scientists and translators to understand how data should be presented
• Improve data availability, acting as the link between the IT and analytics team

KNOWLEDGE AND SKILLS

• SQL knowledge
• Deep knowledge of machine learning, statistics and optimization
• Advanced knowledge of statistical techniques, data mining, machine learning (regression, decision trees, clustering, random forests, generalized linear models, etc.)
• Experience in database development and data model design

QUALIFICATIONS AND EXPERIENCE

• BS/BA (preferred MS) degree preferably in computer science, statistics, mathematics or equivalent mix of education and experience
• 5+ years of experience in analyzing and preparing data, including considerable experience with very large data sets and unstructured data
• Strong experience in database development and model design
• Experience with R, Python, Matlab, C programming, C++, Java, Hadoop, Hive, Map reduces, Teradata, QSTK

DESIRED ATTRIBUTES AND BEHAVIOURAL COMPETENCIES

• Strong business and collaboration skills
• Skills to respond to service needs and operational demands
• Attitude to thrive in a fun, fast rhythm of getting started as an environment
• Able to build a sense of trust and rapport that creates a comfortable and effective workplace

SPECIAL CONDITIONS

• Regularly work extended and irregular hours.
• Pressure/stress from the need to meet tight deadlines

FUNCTIONAL RELATIONSHIPS

• External:
• Internal: Business leads

PERFORMANCE CRITERIA

• Timely delivery of agreed daily, weekly and monthly KPIs