Data Engineer

Data Engineer

JOB SUMMARY: We are seeking a skilled  Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data pipelines. This role will be responsible for designing, implementing, and maintaining scalable, cost-effective data solutions that power enterprise analytics and reporting. The ideal candidate will work closely with business stakeholders to identify data needs, ensure high data quality, and optimize our use of Azure-based technologies for ongoing innovation and performance.

Key Responsibilities - Data Engineer

ESSENTIAL DUTIES

• Design, build, and maintain robust, scalable data pipelines in Azure using services such as Azure Data Factory, Azure Synapse, and Azure Data Lake.
• Ingest and integrate data from diverse sources (APIs, databases, files, etc.) into centralized repositories for analytics use.
• Develop and manage ETL/ELT workflows that transform raw data into clean, analytics-ready models aligned with business requirements.
• Create microservices architecture that rapidly scales with business growth and AI capabilities.
• Build data pipelines that feed AI models with clean, structured logistics data.
• Implement real-time analytics engines powering predictive logistics capabilities.
• Ensure data quality, integrity, and governance through validation, monitoring, and alerting systems.
• Collaborate with business and technical teams to gather data requirements and ensure alignment between data assets and business needs.
• Implement cost-conscious data engineering strategies, optimizing performance while managing cloud consumption and storage expenses.
• Maintain and enhance a semantic data layer or curated datasets to support self-service BI (Power BI) and advanced analytics.
• Contribute to the architecture of our data platform, including security, scalability, and performance best practices.
• Automate data operations and deployment processes using CI/CD pipelines and infrastructure-as-code (e.g., ARM, Bicep, or Terraform).
• Stay current with emerging Azure technologies and recommend improvements to existing data workflows
• Other duties as assigned.

Required Skills and Knowledge- Data Engineer

KNOWLEDGE, SKILLS, AND ABILITIES

• Proven experience building and managing data pipelines in Microsoft Azure environments.
• Proficiency with tools like Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration.
• Strong knowledge of SQL, data modeling, and ELT/ETL patterns.
• Experience working with APIs, JSON, and structured/unstructured data sources.
• Demonstrated ability to work cross-functionally to define and deliver high-quality data solutions.
• Strong organizational skills and ability to perform multiple tasks simultaneously, set priorities, work in teams with diverse cultural backgrounds, work independently, and handle conflicting priorities while maintaining consistent, quality work with attention to detail and meet tight deadlines.
• Availability to work a flexible schedule as needed.
• Proficient in Microsoft Office Suite.
• Demonstrated leadership skills, with the ability to effectively communicate and collaborate with cross-functional teams.
• Attention to detail, with a focus on accuracy and compliance in a fast-paced, dynamic environment.
• Logistics / Supply Chain experience preferred.

PROFESSIONAL

• Ability to adapt and work in a fast-paced environment by remaining flexible and handling change with ease.
• Demonstrate efficient time management skills by being punctual and reliable.
• Build and foster an environment of teamwork, integrity, and leadership.
• Communicate, written and verbal, in a manner that is respectful, professional, and polite.

WORK ENVIRONMENT

• The physical environment requires the employee to work in an open office setting with regulated temperatures, where many people are on the phone for long periods of time.

PHYSICAL DEMANDS:

• Sitting at a desk, typing, looking at multiple computer screens, responding to inbound/outbound phone calls, emails, and instant messages throughout the day.
• Occasionally may need to bend, stand, or lift up to 10lbs.

POSITION TYPE & EXPECTED HOURS OF WORK

• This position is full-time. Employees typically work Monday-Friday, 8:00 am – 5:00 pm (with an hour lunch), 40+ hours per week, as business demands. Position is expected to work outside of typical business hours as dictated by business needs.

TRAVEL

• This position would require minimal to no travel. Employees may travel to work-related conferences, trainings, etc.

Education and Experience - Data Engineer

EDUCATION

• Bachelor’s Degree in an IT-related program OR equivalent with 7+ years of technology experience required.
• Additional related training and certifications will be weighted on a case-by-case basis.

EXPERIENCE

• 5+ years of hands-on experience in a data engineering or similar role, with a proven track record of building end-to-end data solutions in a cloud-native Microsoft Azure environment, including data ingestion, transformation, and modeling for analytics use cases
• Work experience in the transportation industry is a plus.

#ENGMP

About InnoSource

InnoSource has been Putting Passion to Work for over 25 years. We care about our associates and our clients, and we aim to deliver for both. This means connecting each individual with the best long-term career fit based on unique skills and needs, and guiding you through the process along the way.

Pre-Employment Checks

As part of our hiring process, InnoSource may obtain a background check (known as a "Consumer Report") from a Consumer Reporting Agency. This report will include a criminal records check and may also include verification of your Social Security number, driving record, education and/or employment history, credit history, or other background information. A drug and/or nicotine screen may also be required.

By “Submitting” this application/form you are opting-in/signing up for texts, you consent to receive communication via text messages from InnoSource, Inc. at the number provided, including messages sent by an auto dialer. Message and data rates may apply. Message frequency varies. Privacy Policy and Terms.

Equal Opportunity Employer - Age/Race/Color/Sex/Sexual Orientation/Gender Identity/Disability/Veteran