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Junior Data Conversion Developer Jobs in Wisconsin

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

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 ...

The Home Depot

Junior Data Scientist

Milwaukee, WI · Hybrid

$68K - $93K/yr

... Junior Data Scientist to grow with us. You'll be embedded on our Lean Initiative team, working ... data scientists and engineers to develop models, support analytics, and help bring AI-powered ...

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site +1

Mentor and guide junior data scientists, providing technical expertise and fostering a culture of ... Partner with engineering to support real-time personalization and scalable deployment Skills ...

Continuus Technologies LLC

Senior Data Engineer

Germantown, WI · On-site

$107K - $146K/yr

Mentor junior data engineers and review code * Contribute to data platform roadmap and continuous improvement Qualifications * Bachelor's degree in Computer Science, Engineering, or related field (or ...

Generac

Data Scientist II

Waukesha, WI

Successful candidates will have strong engineering skills and communication, as well as a belief ... Act as a mentor to junior data scientist. * Review pull requests from fellow team members.

Avani Technology Solutions, Inc.

Developer

Madison, WI · On-site

Project work will include: application design and development, integration with 3rd party software, data conversion, new development and modifications to existing code. Successful candidates will ...

Motorola

$90K - $100K/yr

The Data Conversion team migrates/converts historical customers' data into Motorola Solutions ... Bachelor's degree in Engineering or Technology * Technical/software development experience.

trane technologies

Senior Data Modeler

La Crosse, WI · On-site

Mentor junior data modelers, data engineers, and analytics professionals in modeling standards and practices. * Review and approve models created by other teams to ensure enterprise alignment.

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Junior Data Conversion Developer information

What are the key skills and qualifications needed to thrive as a Junior Data Conversion Developer, and why are they important?

To thrive as a Junior Data Conversion Developer, you need a solid understanding of database concepts, data mapping, and proficiency in programming languages like SQL or Python, often supported by a relevant degree or technical certification. Familiarity with ETL tools (such as Informatica or Talend), data migration frameworks, and source/target system architectures is typically required. Strong problem-solving skills, attention to detail, and effective communication help in identifying data issues and collaborating with cross-functional teams. These skills ensure accurate, efficient data transformation and integration, which are critical for project success and data integrity.

What is the difference between Junior Data Conversion Developer vs Data Migration Specialist?

AspectJunior Data Conversion DeveloperData Migration Specialist
CredentialsBasic programming, database knowledge, entry-level certificationsSimilar technical skills, often with additional project management certifications
Work EnvironmentDevelopment teams, data processing projects, entry-level rolesData management projects, enterprise environments, often more client-facing
Industry UsageIT, software, data servicesIT, consulting, enterprise data management
Search & ComparisonOften compared for entry-level roles in data conversionMore advanced, but related, roles in data migration

The Junior Data Conversion Developer primarily focuses on converting data formats and ensuring data integrity during development. In contrast, a Data Migration Specialist handles larger-scale data transfer projects across systems, often involving planning and execution. While both roles require similar technical skills, the Junior Data Conversion Developer is more entry-level and development-focused, whereas the Data Migration Specialist involves broader project management and enterprise-level tasks.

What are some common challenges faced by Junior Data Conversion Developers during migration projects?

Junior Data Conversion Developers often encounter challenges such as handling inconsistent or incomplete legacy data, adapting to different data formats, and ensuring data integrity throughout the migration process. Collaborating closely with senior developers and business analysts is crucial to accurately interpret client requirements and resolve data discrepancies. Additionally, managing time effectively to meet project deadlines while learning new tools and technologies can be demanding, but it also provides significant opportunities for skill development and growth within the field.

What are Junior Data Conversion Developers?

Junior Data Conversion Developers are entry-level professionals who assist in transforming data from one format to another, often as part of system migrations, software upgrades, or data integration projects. They work under the guidance of senior developers and typically use programming languages, scripts, or specialized tools to extract, transform, and load (ETL) data. Their responsibilities often include analyzing source and target data structures, writing conversion routines, testing data integrity, and troubleshooting issues. This role is crucial for organizations that need to move or consolidate data while ensuring accuracy and minimal disruption.
What cities in Wisconsin are hiring for Junior Data Conversion Developer jobs? Cities in Wisconsin with the most Junior Data Conversion Developer job openings:
Junior Data Conversion Developer jobs near you
Jr. Data Engineer

Jr. Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

$116K - $139K/yr

Full-time

Posted 9 days ago

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