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Junior Data Conversion Developer Jobs in Wisconsin

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

OverviewThe 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 ...

WI · On-site

$70 - $90/hr

PROFILE The junior data warehouse developer is responsible for designing, deploying, securing and managing the cloud data platform in a reliable and cost-efficient manner. DUTIES & RESPONSIBILITIES

New

Senior Data Engineer

Germantown, WI · On-site

$107K - $146K/yr

... junior data engineers and review codeContribute to data platform roadmap and continuous improvementQualificationsBachelor 's degree in Computer Science, Engineering, or related field (or equivalent ...

WI · On-site

$120 - $145/hr

Mentor junior data engineers and provide technical leadership to cross‑functional teams. Required Qualifications * 7+ years of data engineering experience, including data pipelines, ingestion, ETL ...

New

WI · On-site

$130 - $160/hr

Provide technical guidance and mentorship to junior data scientists and engineers. * Work directly with clients and stakeholders, demonstrating strong communication and problem-solving skills.

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 ...

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

... developer workflows, enablement, success measures, and a phased rollout. * Lead design and code reviews, share engineering best practices, and mentor junior data engineers. Required skills:

WI · On-site

$120 - $160/hr

Mentor junior Data Architects and Data Engineers on Clarkston's analytics team * Assist in defining and managing client solutions How You'll Grow Beyond your day-to-day responsibilities, throughout ...

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Junior Data Conversion Developer information

What is a junior data conversion developer?

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 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 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 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 cities in Wisconsin are hiring for Junior Data Conversion Developer jobs?

Cities in Wisconsin with the most Junior Data Conversion Developer job openings:

Jr. Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

$116K - $139K/yr

Full-time

Re-posted 12 days ago


Job description

OverviewThe 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 ResponsibilitiesAssist in building and maintaining data pipelines (ETL/ELT)Support data ingestion from internal and external sourcesHelp clean, transform, and validate data for analytics useMonitor data jobs and troubleshoot data pipeline issuesMaintain data models, schemas, and documentationPartner with data analysts and stakeholders to understand data needsSupport data quality, reliability, and governance initiativesFollow best practices for version control, testing, and deploymentQualificationsBachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)Experience with SQL and relational databasesFamiliarity with at least one programming language (Python preferred)Basic understanding of data warehousing conceptsExperience with Git or version control toolsStrong problem-solving and analytical skillsPreferredExposure 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 conceptsExperience working with large or complex datasets