Remote Data Engineer & Analyst: Compliance Analytics

Cayuse Holdings; Boise (ID); Remote; USD 100,000 - 110,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Flexible Spending Accounts

Disability Insurance

401(k) with Company Match

Paid Time Off

Job summary

Cayuse seeks a Data Engineer/Analyst to collaborate with government clients, data scientists, and software engineers to develop and optimize data pipelines, ETL processes, and database structures supporting IRS compliance activities.

You will identify data sources, enhance data quality, and create scalable solutions to extract insights on payments and taxpayer behavior, preparing analytical models for deployment within agency functions.

Qualifications

• Bachelor’s in Economics, Statistics, Mathematics, Computer Science, or other quantitative field, or equivalent experience.
• 2–5 years of experience in data engineering and analytics.
• Demonstrable experience designing and implementing data processing solutions with relational or unstructured data.
• Experience with structured databases and query languages (e.g., PL/SQL, Postgres, MySQL), including optimization of SQL queries.
• Demonstrable experience with distributed data processing frameworks such as Spark or Hadoop preferred.
• Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not required.
• Experience with at least one object-oriented programming language (e.g., Python, Java, Scala).
• This position requires candidates to obtain a Public Trust Clearance.
• Due to the nature of work, U.S. Citizenship is required.
• Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment.

Responsibilities

• Meets with Government clients to understand business needs, define data engineering and analysis objectives, identify data sources, and develop robust data integration and processing workflows.
• Design and implement data pipelines, ETL processes, and database structures to automate and scale data analysis solutions for client needs.
• Perform data cleaning, transformation, and exploratory analysis to ensure data integrity and readiness for reporting and machine learning applications.
• Work with teams of data scientists and software engineers to build scalable, reliable data pipelines to enable machine learning models and business intelligence applications.
• Develop and maintain models and views for seamless data access, visualization, and analysis.
• Optimize data storage, indexing, and query performance to support efficient decision making, and present findings and solutions to clients.
• Demonstrate superior verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders with technical and non-technical backgrounds
• Takes ownership of tasks and develops high-quality work products with minimal supervision
• Other duties as assigned.

Skills

Data integration

ETL design

SQL

Programming: Python/Java/Scala

Communication

Team collaboration

Data quality

Education

Bachelor's degree in a quantitative field

Tools

PostgreSQL

MySQL

PL/SQL

Spark

Hadoop

Python

Java

Scala

Job description

Cayuse seeks a Data Engineer/Analyst to collaborate with government clients, data scientists, and software engineers to develop and optimize data pipelines, ETL processes, and database structures supporting IRS compliance activities.

You will identify data sources, enhance data quality, and create scalable solutions to extract insights on payments and taxpayer behavior, preparing analytical models for deployment within agency functions.