Junior Data Integration Developer
At Journal Technologies, we believe our technology can be a force for good in the world ensuring the proper and efficient functioning of some of the most foundational aspects of society - the courts and justice system.
We create and implement enterprise software that supports the administration of justice, currently in the United States, Canada, and Australia. While our eSeries product suite enables governments and their employees to deliver continued foundational court processes, our R&D focuses on leveraging emerging possibilities with technology to improve access and efficiency.
Headquartered in Los Angeles, Journal Technologies is a long-time, wholly-owned subsidiary of Daily Journal Corporation (NASDAQ: DJCO). We also have a major office in Logan, Utah, a team in Melbourne, Australia, an office in Victoria, Canada and a growing number of remote staff across North America.
Under our next generation of leadership, we're implementing a new vision for the company that prioritizes building an extraordinary workplace with empowered people at the heart of our business. Great people want to collaborate with great people, and we are actively looking for smart, motivated people who care deeply about the work they do.
Junior Data Integration Developer Journal Technologies is looking for an experienced, high-energy, results-oriented project professional to be a key contributor to our data strategy, ensuring the seamless flow of information within our organization. You will play a pivotal role in designing, implementing, and maintaining data integration solutions that empower data-driven decision-making and enable us to extract actionable insights from our vast data sources.
Responsibilities
- Assist in developing and maintaining data integration solutions that connect various data sources and systems to support data exchange.
- Support the creation and maintenance of Extract, Transform, Load (ETL) processes under guidance, helping ensure data quality and alignment with business needs.
- Work with senior developers, business analysts, and stakeholders to help document and implement data mapping specifications.
- Perform basic data validation and quality checks to identify issues and escalate anomalies to senior team members.
- Assist in maintaining and monitoring databases used in integration processes to support performance and reliability.
- Develop and modify simple scripts to support data transformations and automation tasks, with guidance.
- Help monitor data integration jobs and report on failures or performance issues.
- Create and maintain documentation for data integration processes, including data flows and mappings.
- Work with cross-functional teams (data engineers, analysts, QA) to understand requirements and support solution delivery.
- Follow established data security and compliance standards (e.g., GDPR, HIPAA) under supervision.
- Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).
- 0–2 years of experience in data integration, development, or a related role.
- Basic understanding of ETL concepts and data integration principles.
- Familiarity with at least one ETL tool (e.g., SSIS, Talend, Informatica) or willingness to learn.
- Foundational SQL skills and experience working with relational databases.
- Base understanding of T-SQL language.
- Basic understanding of XML.
- Exposure to a scripting language (e.g., Python, Java) is an asset.
- Basic understanding of data structures and data quality concepts.
- Strong willingness to learn and grow in a technical environment.
- Good problem-solving and analytical skills.
- Effective communication and teamwork abilities.
- Attention to detail and commitment to data accuracy.
Why Journal Technologies? Visit Www.journaltech.com/careers For More Information, But Highlights Include
- Competitive compensation * The salary range posted for this position reflects a good-faith estimate of the base salary we reasonably expect to offer a successful candidate upon hire. Final compensation will be based on job-related factors, including qualifications, experience, geographic location, and