Data Engineer

ITnova; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

ITnova is seeking a Data Engineer to support the Port Authority of New York and New Jersey's Aviation Data Analytics Warehouse (ADAW). You will develop and maintain data pipelines, ELT workflows, and integrate data using Azure services such as Synapse, Data Factory, Azure SQL, and Databricks.

This role emphasizes SQL proficiency and building semantic Power BI models to enable reliable BI and reporting. Collaboration with cloud architecture and QA/QC teams ensures data solutions meet business

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field preferred.
• Demonstrated experience developing and maintaining data pipelines and data integration solutions.
• Experience with Microsoft Azure data services, including Synapse Analytics, Data Factory, Azure SQL, and Databricks.
• Experience with relational databases, including Microsoft SQL Server.
• Proficiency in SQL and experience developing database objects such as tables, views, and stored procedures.
• Experience designing and implementing ELT or ETL workflows.
• Experience with data transformation, data cleansing, and data quality practices.
• Experience with Microsoft Power BI and semantic data modeling.
• Experience using Azure DevOps or similar tools for development coordination, version control, and work tracking.
• Ability to troubleshoot data processing issues and document technical solutions.

Responsibilities

• Develop and maintain data pipelines for the ADAW.
• Configure automated data extraction and troubleshoot ingestions.
• Design and maintain ELT workflows.
• Clean and transform data per governance rules.
• Build data transformations using Azure Synapse Analytics.
• Optimize pipelines for performance and speed.
• Create and maintain database objects (tables, views, stored procedures).
• Support SQL pools and SQL Server databases.
• Design Power BI semantic models to support reports.
• Integrate new data sources and enhance workflows.
• Document pipelines, transformations, and processes.
• Collaborate with Cloud Architecture/Team Lead, PM, QA/QC to deliver data solutions.

Skills

Data pipelines

ELT workflows

SQL

Power BI modeling

Azure data services

Data governance

Collaboration

Troubleshooting

Azure DevOps

Education

Bachelor’s degree in Computer Science / Information Systems / Data Engineering

Tools

Synapse Analytics

Data Factory

Azure SQL

Databricks

Microsoft SQL Server

Power BI

Job description

ITnova is seeking a Data Engineer to support the Port Authority of New York and New Jersey (PANYNJ) Aviation Department’s Aviation Data Analytics Warehouse (ADAW). The ideal candidate will have hands-on experience developing and maintaining data pipelines, building ELT workflows, and integrating data using Microsoft Azure services, including Synapse Analytics, Data Factory, Azure SQL, and Databricks. This role will support data transformation, database development, pipeline optimization, and Power BI semantic modeling to ensure accurate, reliable data is available for business intelligence and reporting. Strong SQL and Microsoft SQL Server experience is required.

Responsibilities

• Develop new and maintain existing data pipelines supporting the Aviation Data Analytics Warehouse (ADAW).
• Configure automated data extraction processes and troubleshoot data ingestion failures and connectivity issues.
• Design, develop, and maintain Extract, Load, Transform (ELT) workflows.
• Clean, standardize, and transform data according to established data governance standards and business rules.
• Build reusable data transformation frameworks using Azure Synapse Analytics.
• Optimize data pipelines for performance, efficiency, and processing speed.
• Create and maintain database objects, including tables, views, and stored procedures.
• Support serverless and dedicated SQL pools and SQL Server databases.
• Design and maintain Power BI semantic data models to support reporting, dashboards, and analytical requirements.
• Integrate new data sources and enhance existing data processing workflows.
• Document data pipelines, transformations, database objects, and technical processes.
• Collaborate with the Cloud Architecture/Team Lead, Program Manager, and QA/QC Specialist to deliver reliable data solutions.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field preferred
• Demonstrated experience developing and maintaining data pipelines and data integration solutions.
• Experience with Microsoft Azure data services, including Synapse Analytics, Data Factory, Azure SQL, and Databricks.
• Experience with relational databases, including Microsoft SQL Server.
• Proficiency in SQL and experience developing database objects such as tables, views, and stored procedures.
• Experience designing and implementing ELT or ETL workflows.
• Experience with data transformation, data cleansing, and data quality practices.
• Experience with Microsoft Power BI and semantic data modeling.
• Experience using Azure DevOps or similar tools for development coordination, version control, and work tracking.
• Ability to troubleshoot data processing issues and document technical solutions.

Preferred Experience

• Experience developing enterprise data warehouse or lakehouse solutions.
• Experience integrating data from APIs, batch feeds, streaming sources, and SFTP file transfers.
• Experience optimizing large-scale data pipelines and SQL queries.
• Experience with Power Apps and Power Automate.
• Experience supporting business intelligence dashboards and enterprise reporting.
• Experience working in an Agile development environmen

Must be US Citizen

Full-time remote ( Mon – Fri, 9:00 am – 5:00 pm EST)

Benefits

• Medical, Dental, and Vision coverage
• Short Term Disability, AD&D and Life insurance
• 401(k) Program
• Paid Time Off
• 11 Paid Holidays
• Employee Assistance Program

ITnova is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.