Data Engineer

RxCloud; Oregon (WI); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading data solutions firm is seeking a Data Engineer to build systems that convert raw data into actionable insights. The successful candidate will have over 7 years of experience, strong programming skills in Java and Python, and mastery of SQL database design. Responsibilities include analyzing raw data, building data systems, and collaborating with data scientists on projects. The ideal candidate also has experience in big data technologies like Hadoop, Spark, and Kafka, and familiarity with cloud platforms such as AWS and Google Cloud.

Qualifications

• 7+ years of experience as a data engineer or in a similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Hands-on experience with SQL database design.

Responsibilities

• Analyse and organize raw data.
• Build data systems and pipelines.
• Evaluate business needs and objectives.
• Conduct complex data analysis and report on results.

Skills

Data modeling

Data mining

Java

Python

SQL database design

Statistical analysis

Cloud platforms

Excel

Tableau

Education

Degree in Computer Science, IT, or similar field

Data engineering certification (e.g., IBM Certified Data Engineer)

Tools

Hadoop

Spark

Kafka

BI tools

Job description

A Data Engineer is a data professional who uses their expertise in data engineering and programming to build systems that collect, manage, and convert raw data into usable information for business analysts.

Requirements and skills

• Previous 7+ years of experience as a data engineer or in a similar role
• Technical expertise with data models, data mining, and segmentation techniques
• Knowledge of programming languages (e.g., Java and Python)
• Hands-on experience with SQL database design
• Great numerical and analytical skills
• Degree in Computer Science, IT, or similar field; a masters is a plus.
• Data engineering certification (e.g., IBM Certified Data Engineer) is a plus.
• Big data technologies such as Hadoop, Spark, and Kafka.
• Also be familiar with cloud platforms such as AWS, Google Cloud, and Azure.
• Should be proficient in SQL, Excel, Tableau, or other BI tools. They should also have a good understanding of statistical analysis and modelling techniques, as well as business acumen.

Responsibilities

• Analyse and organize raw data.
• Build data systems and pipelines.
• Evaluate business needs and objectives.
• Interpret trends and patterns.
• Conduct complex data analysis and report on results.
• Prepare data for prescriptive and predictive modelling.
• Build algorithms and prototypes.
• Combine raw information from different sources.
• Explore ways to enhance data quality and reliability.
• Identify opportunities for data acquisition.
• Develop analytical tools and programs.
• Collaborate with data scientists and architects on several projects.