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Junior Data Conversion Developer Jobs in California

Mentor and guide the technical direction of junior data scientists, reviewing modeling approach and code to ensure rigor and consistency across the team * Partner with Data Engineering, Product, and ...

We work directly with the Engineering, Product, and Operation teams responsible for routing data ... junior data scientists and leading projects of varying sizes and scopes

About This Job Axos Bank is seeking a motivated Junior Martech Personalization Developer to join ... to interpret test results, conversion metrics, and segment performance data. * Excellent ...

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

... engineering concepts including ETL pipelines, data lakes, and data mesh architecturesAgile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)Ability to mentor junior ...

Proactively identify data quality issues, logging gaps, and infrastructure needs, and drive resolution together with data engineering partners. Mentor and provide technical guidance to junior data ...

ETL Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... junior data engineers and contribute to engineering best practices and standards Required Qualifications 5+ years of experience in data engineering, with demonstrated ownership of large-scale data ...

New

Jr. Personalization Developer

San Diego, CA · On-site

$71K - $92K/yr

About This Job Axos Bank is seeking a motivated Junior Martech Personalization Developer to join ... to interpret test results, conversion metrics, and segment performance data. * Excellent ...

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Collaborate with cross-functional teams including software engineers, data engineers, and subject ... Ability to mentor junior data scientists and lead cross-disciplinary technical teams

The work they are doing is a data conversion project where one team is building a new financial ... Partner with engineering teams to develop technology infrastructure * Build and refine models to ...

Collaborate with cross-functional teams including software engineers, data engineers, and subject ... Ability to mentor junior data scientists and lead cross-disciplinary technical teams

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

Mentor junior data engineers and contribute to engineering best practices and standards Required Qualifications * 5+ years of experience in data engineering, with demonstrated ownership of large ...

Showing results 41-60

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.

Infographic showing various Junior Data Conversion Developer job openings in California as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution.

Data Scientist IV

Panasonic

Irvine, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Overview
Who We Are:
Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, Wi-Fi, and now Bluetooth headphone connectivity!
How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that's here to stay! With our company's history spanning over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry.
If you want to learn more about us, visit us at www.panasonic.aero. And for a full listing of open job opportunities go to https://careers.na.panasonic.com/avionics/jobs
The position:
Leads analysis of complex, high-impact business problems using data from internal and external sources to provide insight to decisions at the leadership level. Works directly with aviation and in-flight entertainment data to identify opportunities specific to that domain. Identifies and interprets trends and patterns in datasets to locate influences. Have strong predictive, statistical modeling skills. Constructs forecasts, recommendations, and strategic/tactical plans based on business data and market knowledge. Creates specifications for reports and analysis based on business needs and required or available data elements. Provide consultation to users and lead cross-functional teams to address business issues. Directly produce datasets and reports for analysis using system reporting tools. Sets direction for modeling approaches and mentors other data scientists on the team.
Responsibilities
What We're looking for:
  • Build, own, and defend predictive, classification, forecasting, and recommendation models using Python identifying emerging trends and business opportunities from customer, operational, and market data, while independently determining the modeling approach and technique for a given problem
  • Partner with Data Engineering on data infrastructure needs, translating modeling and analytics requirements into scalable data sources.
  • Sound knowledge in ETL and Data Warehouse concepts, experience with AWS cloud-based platforms.
  • Employ the established Data Governance model including people, process, and technology to sustain Data Quality for the data objects and implement the necessary operating mechanisms to ensure compliance.
  • Build fault tolerant, self-healing, adaptive and highly accurate data computational and analytic processing applications.
  • Programing Develops and/or uses algorithms and ML prescriptive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
  • Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining.
  • Partner with business process experts and owners to build BI and leading indicators of operational benchmarks.
  • Mentor and guide the technical direction of junior data scientists, reviewing modeling approach and code to ensure rigor and consistency across the team
  • Partner with Data Engineering, Product, and Business stakeholders to help define what should be built, shaping the roadmap rather than just executing against it.

KNOWLEDGE/SKILL REQUIREMENTS
  • Strong hands-on Python and SQL skills for data science (pandas, scikit-learn, and similar).
  • Should be strong in AWS suite, experience working with AWS Cloud or similar environments and tools for Data Science, AI and ML
  • Ability to deploy ML models to production environment.
  • Able to take ambiguous data and turn it into a clear business case, and present that case persuasively to both technical and non-technical audiences.
  • Solid grounding in statistics: hypothesis testing, regression, experimental design (A/B testing).
  • Exposure to GenAI/LLM concepts (RAG, vector databases, prompt engineering) is a plus.
  • Strong predictive, statistical modeling skills.
  • Strong ability to communicate both written and verbally to internal and external clients.
  • Ability to work independently with business users and cross functional leaders.
  • Ability to solve for higher ambiguity using data science.
  • Strong ability to create and deliver effective presentations to multiple audiences.
  • Advanced expertise using data analytic software such as R, Python, SQL.
  • Expert knowledge of Microsoft productivity tools: Excel, Word, and Visio and other software is necessary.
  • Ability to work in a collaborative environment and fast paced environment.
  • Knowledge of Extract Transform Load (ETL), Data Architecture preferred.
  • Ability to mentor junior data scientists and colleagues.

Qualifications
EDUCATION/EXPERIENCE REQUIREMENTS
  • Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related quantitative field required. (Masters in related field preferred)
  • 5+ years equivalent experience in modeling, forecasting, data analytics.
  • 2+ years' experience with AWS (Amazon Web Services) or other cloud platforms.
  • Open-source AI experience preferred.
  • Data Science Certifications Preferred.
  • Certified in AWS Cloud Preferred.
  • Experience in aviation, transportation or IoT/telemetry data domain is a plus

OTHER REQUIREMENTS
May require travel up to 5% of the time to domestic and/or international locations.
The salary range of $142,000 to $238,000 is just one component of Panasonic's total package. The final offer amount may vary based on factors including but not limited to individual's knowledge, skills, experience, and location. In addition, this role may be eligible for discretionary bonuses and incentives. The minimum hourly wage for this role will be the greater of the posted range, or minimum.
Our Principles:
Contribution to Society | Fairness & Honesty | Cooperation & Team Spirit | Untiring Effort for Improvement | Courtesy & Humility | Adaptability | Gratitude
What we offer:
At Panasonic Avionics Corporation we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive and flexible benefits program.
  • We offer flexible-hybrid work opportunities.
  • Paid time off: Exempt Salaried employees receive unlimited PTO. This means that there is no fixed number, range, or limit to the amount of Personal and Vacation Days that may be taken for exempt employees. Non-exempt hourly employees accrue 14 vacation days per year + 7 sick days + 3 personal days. Accrual rate increases with tenure. All employees receive 11 company paid holidays per year plus a paid company-wide shut down in the U.S. between Christmas and New Year.
  • Insurance: Medical insurance offerings from Aetna and Kaiser (CA &HI). Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family. Dental PPO and DMO options & Vision insurance through EyeMed or VSP.
  • 401K with 50% match on up to 8% contribution, full vested from day 1
  • Other offerings include: Wellness Program, Counseling services, FSA & HSA, Life Insurance for employee, spouse and child, AD&D Insurance, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Legal Assistance, Pet Insurance, Identity Theft Protection, Dependent Care FLSA, Education Assistance, Commuter Program, Employee Purchase Program, Service Award Program.

Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Avionics Corporation.
#LI-hybrid
REQ-155406