Data Engineer/Analyst

Cayuse Holdings

Cayuse Federal Services provides innovative solutions tailored for federal government clients, focusing on cost-effective excellence. This role collaborates closely with clients, data scientists, and engineers to facilitate IRS compliance by developing scalable data solutions. The position is vital for enhancing data accessibility and supporting agency functions through optimized data environments.

In this role you can expect to have the responsibilities:

• Engage with government clients to determine business needs and data objectives.
• Develop data integration and processing workflows.
• Design data pipelines, ETL processes, and database structures.
• Conduct data cleaning, transformation, and analysis.
• Collaborate with teams to build reliable data pipelines for machine learning.
• Create models and views for data access and visualization.
• Enhance data storage and query performance.
• Communicate complex concepts effectively to diverse stakeholders.
• Produce high-quality work independently.

This role comes with the following benefits:

• Professional remote office environment.
• Potential travel for business or professional development.

This role requires you to have:

• Bachelor’s in Economics, Statistics, Mathematics, Computer Science, or relevant field.
• 2–5 years of data engineering and database management experience.
• Experience with relational or unstructured data processing solutions.
• Ability to pass necessary background checks.
• Eligibility for Federal Public Trust Clearance.

You would benefit from having:

• Experience with object-oriented programming languages such as Python, Java, Scala.
• Proficiency in SQL and structured databases.
• Familiarity with distributed data frameworks like Spark or Hadoop.
• Knowledge of statistical programming in SAS, R, or Stata.

Cayuse is committed to equal opportunity employment and considers applications without regard to federal, state, or local law. This job may involve tasks beyond those listed, and duties may be adjusted as required.