Are you a strategic planner and problem-solver?
Do you enjoy collaborating cross-functionally to deliver on common goals?
Join us in shaping a more just world.
About Us
LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.
About the Role
At LexisNexis we develop the legal profession’s most innovative products for data analysis, visualization, and research. We use the latest techniques in AI, machine learning, and data visualization to uncover insights about judges’ rulings, build forecasts of likely outcomes, and reveal critical connections in massive datasets spanning the law, news, and finance.
This position performs moderate research, design, and data engineering assignments within a specific engineering functional area or product line.

Responsibilities

• Own specific set or group of data transfers in various capacities including collection setup, data transfer setup, contributor/customer setup, etc.
• Interface with other technical personnel or team members to document, interpret, and finalize requirements.
• Produce code that is efficient, repeatable, without defects, and adherent to best practices such as naming conventions, encapsulation, etc.
• Write and review portions of detailed specifications for the development of data components.
• Complete data engineering bug fixes and issues, researching and identifying root causes as appropriate.
• Identify opportunities to apply automation or other tools to improve effectiveness or efficiency.
• Work closely with other development team members to understand product requirements and translate them into data engineering and/or data management designs.
• Innovate process improvements that enable efficient delivery and maintenance and participate in the development processes, coding best practices, and code and project reviews.

Requirements

• 3+ years’ experience in data management area with a technical competencies demonstrated.
• Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.
• Ability to work with data models and strong knowledge of data manipulation languages.
• Proficiency in development languages including but not limited to: Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, Unix, .Net., HPCC.
• Knowledge of AWS, GCP, Azure, or other cloud platform
• Experience with relational and NoSQL databases (e.g. Postgres, ElasticSearch/OpenSearch, graph databases such as Neptune or neo4j)
• Experience with technologies that power analytics (Spark, Hadoop, Kafka, Docker, Kubernetes) or other distributed computing systems
• Knowledge of API development and machine learning deployment

Work in a way that works for you
We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees
Working with Us
LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace.
Working for you
We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career.
About our Team
LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.
LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form:
https://forms.office.com/r/eVgFxjLmAK
, or please contact 1-855-833-5120.
Please read our
Candidate Privacy Policy

• Own specific set or group of data transfers in various capacities including collection setup, data transfer setup, contributor/customer setup, etc.
• Interface with other technical personnel or team members to document, interpret, and finalize requirements.
• Produce code that is efficient, repeatable, without defects, and adherent to best practices such as naming conventions, encapsulation, etc.
• Write and review portions of detailed specifications for the development of data components.
• Complete data engineering bug fixes and issues, researching and identifying root causes as appropriate.
• Identify opportunities to apply automation or other tools to improve effectiveness or efficiency.
• Work closely with other development team members to understand product requirements and translate them into data engineering and/or data management designs.
• Innovate process improvements that enable efficient delivery and maintenance and participate in the development processes, coding best practices, and code and project reviews