Senior Software Engineer - Data Engineering

About iTradeNetwork At iTradeNetwork, we provide advanced supply chain software and insights tailored to the food & beverage industry. Our mission is clear and ambitious: To feed the world. From the start, we've been dedicated to tackling the most pressing challenges within food and beverage supply chains, delivering innovative solutions and expert support that make a measurable impact. Our cutting-edge technology helps businesses streamline complex procurement and fulfillment processes, minimize food waste, optimize inventory, manage compliance risk, and scale profitably. We're proud to serve an elite customer base, including 13 of the top 25 North American grocers, 8 of the top 10 foodservice distributors, and 8 of the top 10 global food and beverage manufacturers.

JOB SUMMARY

We are seeking an experienced and strategic Senior Software Engineer - Data Engineering to lead the design, development, and optimization of our enterprise-scale data infrastructure. In this role, you will architect and champion highly scalable, secure, and cost-effective data systems that power analytics, reporting, ML, and data products across the organization. This role combines hands-on technical leadership, cross-functional influence, platform ownership, and mentorship of engineering teams. You'll be a core contributor to our long-term data strategy, execution, and operational excellence. As a Staff Data Engineer, you will work closely with engineering leadership, data scientists, analysts, product managers, and stakeholders to translate business needs into robust, production-grade data solutions.

Platform & Strategy Impact:

You won't just write pipelines — you'll define how data is built, shared, governed, and evolved across the company.

Leadership Beyond Code:

Influence engineering standards, technology choices, and business outcomes.

Cross-Team Visibility:

Work with diverse teams from analytics to product to executive leadership.

Ownership & Autonomy:

Champion initiatives from architectural plans through deployment and live operations.

Key Responsibilities:

Architect & Build Lead the architecture, design, and implementation of scalable data platforms (data lakes, warehouses, streaming, OLAP/OLTP stores). Define and own end-to-end data pipeline frameworks for real-time and batch data ingestion, processing, transformation, and serving. Establish reusable frameworks and abstraction layers that increase development velocity and reduce operational risk. Technical Leadership & Strategy Drive long-term strategy for data infrastructure, tooling, and processes aligned with business goals. Act as technical authority and point of escalation for complex data engineering challenges. Set standards for engineering excellence (code quality, architecture, performance, security, observability, and cost-efficiency). Cross-Functional Collaboration Partner with product and business teams to understand analytic and operational requirements and translate them into deliverables. Collaborate with data scientists and ML engineers to productionize models and analytics. Influence cross-team prioritization and roadmap decisions through technical insight and business impact. Platform Reliability & Operations Build and enforce robust practices for monitoring, alerting, quality, change management, and incident response. Ensure data accuracy, reliability, lineage, and compliance across data workflows. Lead architectural capacity planning, performance tuning, and cost optimization initiatives. Mentorship & Team Development Coach and mentor senior and mid-level data engineers; provide technical reviews and guidance. Help build a strong engineering culture focused on collaboration, learning, and high-quality delivery. What you'll need: 10+ years of professional experience in data engineering, software engineering, or related fields. Proven experience architecting large-scale data platforms used for analytics, operational reporting, and ML/AI. Deep expertise in designing and building scalable ETL/ELT pipelines, data warehouses, and data lakes. Strong background in distributed data processing (e.g., Spark, Flink, Hadoop) and realtime systems (e.g., Kafka, Kinesis). Demonstrated success owning engineering workstreams end-to-end (design → deployment → operational support). Technical Skills Advanced proficiency in SQL and at least one programming language (Python, Java, Scala). Experience with cloud data platforms and infrastructure (AWS preferred: Redshift, S3, Glue, Lambda, EMR, Athena, Kinesis). Data modeling expertise (dimensional, star/snowflake schemas, OLAP design). Strong understanding of data governance, quality frameworks, and metadata practices. Hands-on experience with orchestration tools (e.g., Airflow, dbt, or similar). Leadership & Communication Exceptional problem-solving, analytical, and strategic thinking skills. Excellent written and verbal communication; capable of translating complex concepts for technical and non-technical audiences. Track record of influencing technical direction and collaborating with senior leadership.

Nice-to-Have Qualifications:

Master's degree or higher in Computer Science, Engineering, Mathematics, or related field. Experience in highly regulated or consumer-facing environments with strong security and compliance needs. Prior experience mentoring across teams and shaping engineering culture. Familiarity with containerization, CI/CD, IaC (Terraform/CloudFormation), and observability tools. If you are a highly motivated and results-driven individual, with a passion for driving growth in a fast-paced, entrepreneurial environment, we encourage you to apply for this exciting opportunity. We offer a competitive salary, comprehensive benefits package, and a dynamic work culture that values collaboration, innovation, and personal development.

Base Compensation:

$166,000 - $172,000 per year Why you will love working here: Competitive salary packages Comprehensive medical, dental, vision, and life insurance benefits for you and your family Flex PTO for exempt employees and competitive PTO for non-exempt Paid parental leave for eligible employees 401(k) matching Tuition reimbursement on approved programs Great health & well-being benefits including Teladoc for general medical and mental health care These benefits are only applicable to full-time employees All iTradeNetwork positions are hybrid unless listed otherwise; candidates must be located in the hub(s) listed.

Additional Requirements:

Must be able to demonstrate lawful ability to work in the United States iTradeNetwork, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran by applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability