Data Engineer

Do you want to build an impactful career to change the world for the better? 

Geosyntec has an exciting opportunity for a highly skilled Data Engineer with 7 years of relevant experience to join our dynamic and growing Information Technology team. This position can work from our Boca Raton, FL office and offers the option to work in a hybrid setting in one of our other U.S. based offices or the option to work fully remotely from your home office.  For a full list of our offices in the United States please visit this link: https://geosyntec.com/about/locations.

Geosyntec is an innovative, international engineering and consulting firm serving private and public-sector clients to address new ventures and complex problems involving our environment, natural resources, and civil infrastructure. Our engineers, scientists, technical and project employees serve our clients from offices across the world. Ranked by ENR as one of the top environmental engineering design firms, Geosyntec is internationally known for its technical leadership, broad experience, and exceptional client service.

We invest in our people.  Each employee is unique, and your career at Geosyntec will be too.  We offer competitive pay and benefits, and well-being programs to support you and your family.

To Learn More Visit: http://www.geosyntec.com/careers/.

• Hands-on experience with Infor Data Fabric and Microsoft Data Fabric.
• Proficiency in data mapping techniques and tools.
• Experience with data migration and synchronization processes.
• Design, develop, and maintain basic to moderately complex data technologies and pipelines.
• Implement basic data mapping strategies and execute data quality checks to ensure data integrity.
• Perform data migration and synchronization tasks between various systems under guidance, ensuring data integrity.
• Collaborate with cross-functional teams to understand basic data requirements and contribute to the delivery of data solutions.
• Optimize and automate routine data processes with guidance from senior team members to improve efficiency.
• Monitor data pipelines and systems and perform initial troubleshooting of basic data-related issues to ensure seamless operations.
• Adhere to established data security protocols, data governance policies, and coding standards.
• Create and maintain clear documentation for developed data pipelines and processes.
• Actively learn and develop skills in relevant data engineering technologies and methodologies.
• Experience providing end-user support, including prioritizing and escalating service needs.
• Ability to work under pressure, exercise sound judgment, and resolve or escalate system issues.
• Proven organizational, planning, customer service, and responsiveness skills.
• Self-starter capable of meeting project scope and timeline requirements.
• Familiarity with Agile and Scrum methodologies.
• Flexibility to travel to company offices as needed.

• The Data Engineer requires a bachelor’s degree in computer science, along with a minimum of seven (7) years of data engineering experience or over eleven (11) years of relevant experience supplemented by coursework in the field or any equivalent combination of education, experience, and training.
• Hands-on experience with Infor Data Fabric and Microsoft Data Fabric. (required)
• Experience with Azure or AWS cloud-based data solutions. Azure Data Factory/Synapse, Infor Data Fabric (ION Data Lake Flows, Stream Pipelines, Infor’s ETL tool). (preferred)
• Knowledge of SQL, Python, and other programming languages. (required)
• Knowledge of Data warehouse concepts – Data Modelling, Star Schema, Snowflake, SCD, Surrogate keys, Normalization/De normalization, Distribution Types and Table types. (required)
• Hands-on experience in query optimization & performance tuning of Azure resources, OLTP and OLAP databases, ETL, and Reporting applications. (required)
• Experience in middleware and Power BI. (preferred)
• Visa sponsorship is not available for this position.
• To ensure confidentiality with client information, this IT position may require a background check.

#LI-CC1

#LI-Onsite

#LI-Hybrid

#LI-Remote