Jr. Data Engineer

Continuus Technologies LLC; Town of Germantown (WI); On-site; USD 55,000 - 85,000; Full time

Job summary

Continuus Technologies LLC is seeking a Junior Data Engineer to design, develop, and maintain data pipelines and infrastructure that support analytics and reporting.

You will collaborate with data analysts to ensure data quality, handle ETL/ELT tasks, and help deploy reliable data solutions. The role emphasizes version control, testing, and governance practices, with preferred exposure to cloud platforms and ETL tools.

Qualifications

• Bachelor's degree in CS, data engineering, IS, or related field (or equivalent experience).
• Experience with SQL and relational databases.
• Familiarity with at least one programming language (Python preferred).
• Basic understanding of data warehousing concepts.
• Experience with Git or version control tools.
• Strong problem-solving and analytical skills.

Responsibilities

• Assist in building and maintaining data pipelines (ETL/ELT).
• Support data ingestion from internal and external sources.
• Help clean, transform, and validate data for analytics use.
• Monitor data jobs and troubleshoot data pipeline issues.
• Maintain data models, schemas, and documentation.
• Partner with data analysts and stakeholders to understand data needs.
• Support data quality, reliability, and governance initiatives.
• Follow best practices for version control, testing, and deployment.

Skills

SQL

Relational Databases

Python

Git

Data Warehousing

Problem Solving

Education

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

Airflow

dbt

Fivetran

Job description

Overview

The Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that enable analytics, reporting, and data-driven decision-making across the organization.

Key Responsibilities

• Assist in building and maintaining data pipelines (ETL/ELT)

• Support data ingestion from internal and external sources

• Help clean, transform, and validate data for analytics use

• Monitor data jobs and troubleshoot data pipeline issues

• Maintain data models, schemas, and documentation

• Partner with data analysts and stakeholders to understand data needs

• Support data quality, reliability, and governance initiatives

• Follow best practices for version control, testing, and deployment

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)

• Experience with SQL and relational databases

• Familiarity with at least one programming language (Python preferred)

• Basic understanding of data warehousing concepts

• Experience with Git or version control tools

• Strong problem-solving and analytical skills

Preferred

• Exposure to cloud platforms (AWS, Azure, or GCP)

• Familiarity with ETL tools or orchestration frameworks (Airflow, dbt, Fivetran, etc.)

• Understanding of data lakes and modern data stack concepts

• Experience working with large or complex datasets