Skip to main content

Data Modeler Specialist

Posted 5 days ago

software technologyMcLean (VA)

SENIORITY

Junior

Apply (opens in a new tab)

About the role

Data Modeler SpecialistThis role is "100% hands on"Strong data warehouse and analytics backgroundData modeling, data mapping, data dictionary development (40%)Data analysis, profiling of the data (relational, unstructured), verification/validation between source and target (60%)Programmatic background (SAS or Python/PySpark) and strong SQL skills are highly desiredBig data (Hive/HDFS etc)/cloud (AWS) experience is a big plusShould be capable and willing to learn new data tools and technologies in a short span of timeSupporting development, systems integration testing, and user acceptance testing (UAT) Excellent communication and analytical skillsRequired skills: SQL, NoSQL, AWS or Hadoop, modeling background

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this