Data Engineer: Craft Scalable Data Pipelines & Insights

Apex Systems; Richmond (VA); On-site; USD 110,000 - 140,000; Full time

Job summary

Everforth Apex is seeking a Data Engineer to design data solution frameworks, ingest data from multiple sources, and process it with Hadoop, Spark, and SQL. You will collaborate with data scientists to enable better decision-making and build data models and pipelines that support predictive analytics.

Ideal candidates have a degree in CS/IT, strong SQL skills, and hands-on experience with big data technologies; a Master’s degree or data engineering certification is a plus.

Qualifications

• Bachelor's degree in CS/IT or similar field.
• Experience as a data engineer or similar role with a track record of data projects.
• Experience with Hadoop, Spark, and SQL.
• Familiarity with machine learning concepts and data modeling.

Responsibilities

• Analyze and organize raw data.
• Build data systems and pipelines.
• Evaluate business needs and objectives.
• Interpret trends and patterns in complex data sets.
• Conduct complex data analysis and report results.
• Prepare data for modeling (prescriptive/predictive).
• Build algorithms and prototypes.
• Combine data from different sources.
• Improve data quality and reliability.
• Identify data acquisition opportunities.
• Develop analytics tools and programs.
• Collaborate with data scientists and architects on projects.
• Design data models and data product roadmaps.
• Prototype solutions, test data replication, extraction, loading, and cleansing.

Skills

Java

Python

Big data

SQL

Machine learning

Education

Bachelor's degree in Computer Science/IT

Master's degree

Tools

Hadoop

Spark

Job description

Everforth Apex is seeking a Data Engineer to design data solution frameworks, ingest data from multiple sources, and process it with Hadoop, Spark, and SQL. You will collaborate with data scientists to enable better decision-making and build data models and pipelines that support predictive analytics.

Ideal candidates have a degree in CS/IT, strong SQL skills, and hands-on experience with big data technologies; a Master’s degree or data engineering certification is a plus.