Landstar
Data Analytics Developer
Landstar - Jacksonville, Florida, United States, 32290
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Data Analytics Developer
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Data Analytics Developer
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Monday – Friday 8-5 with an on-call rotation What work will you perform? As a Data Analytics Developer, you’ll be part of an agile team building innovative, data-driven solutions for Landstar using Power BI, complex SQL, and cloud technologies. You will work with data and build complex SQL queries and scripts to support analytics and reporting needs. You’ll collaborate with business stakeholders and product owners to understand their needs and deliver sustainable, self-service analytics solutions. Your work will include designing semantic models, automating reports, and ensuring data quality throughout development. You’ll follow IT best practices such as CI/CD, security compliance, and disaster recovery planning, while also documenting and sharing knowledge through reusable frameworks. You'll have opportunities to explore new tools like Azure Data Factory, Databricks, and Python, and will participate in a rotating on-call schedule with your team to support early morning deployments and occasional issues. Work with the business, understand their needs/requirements and turn them into solid technology solutions, steering the business towards self-service Research and adopt new technology Follow, communicate and document requests that result in successful, sustainable solutions Work within a collaborative team environment to design, develop, configure, deploy, and support technology solutions. Diagram, document and share knowledge Build frameworks that include reusable and repeatable solutions Use database programming (T-SQL, PL/SQL) and create database objects Follow CI/CD procedures, disaster recovery planning, database security compliance, SOX regulations and write technical documentation Required Minimum Experience and Education: High school diploma or equivalent 4 years experience with analytics/reporting within the IT space. 5 years experience with SQL development to create database objects for analytics 4 years experience design, development, automation, and support of analytics and business intelligence solutions ensuring data quality during and after development 4 years’ experience following and/or implementing IT procedures including deployments, CI/CD, security compliance and technical documentation. Preferred Experience and Education: 1 year of experience with PowerBI/ Tableu / Alteryx or Qlick 1 year of experience Data Warehouse / Lakehouse 1 year of experience Azure Data Factory 1 year of experience Python development Knowledge, Skills, and Abilities: Knowledge of MongoDB, certification a plus Knowledge of Azure Cloud, certification a plus Ability to mentor and develop more junior developers Skills in DevOps/CICD Knowledge of Agile methodologies Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Truck Transportation Referrals increase your chances of interviewing at Landstar by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Tuition assistance Disability insurance Get notified about new Data Engineer jobs in
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Data Analytics Developer
role at
Landstar Join to apply for the
Data Analytics Developer
role at
Landstar Direct message the job poster from Landstar Schedule:
Monday – Friday 8-5 with an on-call rotation What work will you perform? As a Data Analytics Developer, you’ll be part of an agile team building innovative, data-driven solutions for Landstar using Power BI, complex SQL, and cloud technologies. You will work with data and build complex SQL queries and scripts to support analytics and reporting needs. You’ll collaborate with business stakeholders and product owners to understand their needs and deliver sustainable, self-service analytics solutions. Your work will include designing semantic models, automating reports, and ensuring data quality throughout development. You’ll follow IT best practices such as CI/CD, security compliance, and disaster recovery planning, while also documenting and sharing knowledge through reusable frameworks. You'll have opportunities to explore new tools like Azure Data Factory, Databricks, and Python, and will participate in a rotating on-call schedule with your team to support early morning deployments and occasional issues. Work with the business, understand their needs/requirements and turn them into solid technology solutions, steering the business towards self-service Research and adopt new technology Follow, communicate and document requests that result in successful, sustainable solutions Work within a collaborative team environment to design, develop, configure, deploy, and support technology solutions. Diagram, document and share knowledge Build frameworks that include reusable and repeatable solutions Use database programming (T-SQL, PL/SQL) and create database objects Follow CI/CD procedures, disaster recovery planning, database security compliance, SOX regulations and write technical documentation Required Minimum Experience and Education: High school diploma or equivalent 4 years experience with analytics/reporting within the IT space. 5 years experience with SQL development to create database objects for analytics 4 years experience design, development, automation, and support of analytics and business intelligence solutions ensuring data quality during and after development 4 years’ experience following and/or implementing IT procedures including deployments, CI/CD, security compliance and technical documentation. Preferred Experience and Education: 1 year of experience with PowerBI/ Tableu / Alteryx or Qlick 1 year of experience Data Warehouse / Lakehouse 1 year of experience Azure Data Factory 1 year of experience Python development Knowledge, Skills, and Abilities: Knowledge of MongoDB, certification a plus Knowledge of Azure Cloud, certification a plus Ability to mentor and develop more junior developers Skills in DevOps/CICD Knowledge of Agile methodologies Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Truck Transportation Referrals increase your chances of interviewing at Landstar by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Tuition assistance Disability insurance Get notified about new Data Engineer jobs in
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Fernandina Beach, FL $55,000.00-$75,000.00 4 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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