{"id":2030261,"url":"https://alion.io/job/itradenetwork-senior-software-engineer-data-engineering","title":"Senior Software Engineer - Data Engineering","company":{"id":3866159,"name":"iTradeNetwork","domain":"itradenetwork.com","url":"https://alion.io/company/itradenetwork","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-09T06:01:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Charlotte, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":166000,"max":172000,"currency":"USD","period":"year","gross":null,"usd_annual":172000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"CloudFormation","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-04-06T19:49:35Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-10T01:17:50Z","board_verified":true,"closed_at":null,"days_open":186,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":184},"description":"About iTradeNetwork\nAt 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.\nOur 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.\nToday, we're building an AI-first company - meaning AI isn't a feature we bolt on, it's the foundation for how we design products, make decisions, and ship software. Cerena is proof of that in action: powered by the most connected supply chain network in food and beverage, iTradeNetwork's Solution Suite replaces error-prone manual workflows with faster, smarter tools - driving real results for our customers, and ultimately, for the consumers who depend on them.\niTradeNetwork's Leadership Principles\niTradeNetwork’s purpose is to feed the world - and everything we do is guided by the principles below. Every team member is expected to embody and champion these principles across the organization.\nBias for Action\nWe value speed and avoid analysis paralysis. We develop conviction, make informed decisions quickly, and take calculated risks to maintain momentum - knowing that swift progress is essential for innovation and growth.\nCustomer Obsession\nWe work relentlessly to delight our customers. We work backward from their needs to solve pain points and create solutions that surprise and earn their loyalty. We obsess over customers, not competitors.\nData & Metrics Driven\nWe operate with facts, not opinions. We dive deep into data and use metrics to measure progress, ground every decision in rigorous analysis, and push for clarity and measurable outcomes.\nRaise the Bar\nWe continuously push for improvement - in ourselves, our teams, and the company. We hire and develop exceptional talent, setting ever-higher standards that elevate performance and drive excellence.\nOperational Excellence Through Process\nWe build lasting processes that optimize for efficiency. By developing, testing, and documenting each process, we create consistency and scale through automation, enabling continuous improvement across the business.\nOwnership Mindset\nWe take responsibility for our work and aim for long-term success. We use resources wisely, stay accountable, and roll up our sleeves to get things done - no task is beneath us.\nEarn Trust\nWe build trust through integrity, transparency, and mutual respect. We communicate openly, own our mistakes, listen actively, and remain open to feedback as an opportunity for growth.\nJOB SUMMARY\nWe 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.\nAs 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.\nPlatform & Strategy Impact: You won’t just write pipelines - you’ll define how data is built, shared, governed, and evolved across the company.\nLeadership Beyond Code: Influence engineering standards, technology choices, and business outcomes.\nCross-Team Visibility: Work with diverse teams from analytics to product to executive leadership.\nOwnership & Autonomy: Champion initiatives from architectural plans through deployment and live operations.\nKey Responsibilities:\nArchitect & Build\nLead the architecture, design, and implementation of scalable data platforms (data lakes, warehouses, streaming, OLAP/OLTP stores).\nDefine and own end-to-end data pipeline frameworks for real-time and batch data ingestion, processing, transformation, and serving.\nEstablish reusable frameworks and abstraction layers that increase development velocity and reduce operational risk.\nTechnical Leadership & Strategy\nDrive long-term strategy for data infrastructure, tooling, and processes aligned with business goals.\nAct as technical authority and point of escalation for complex data engineering challenges.\nSet standards for engineering excellence (code quality, architecture, performance, security, observability, and cost-efficiency).\nCross-Functional Collaboration\nPartner with product and business teams to understand analytic and operational requirements and translate them into deliverables.\nCollaborate with data scientists and ML engineers to productionize models and analytics.\nInfluence cross-team prioritization and roadmap decisions through technical insight and business impact.\nPlatform Reliability & Operations\nBuild and enforce robust practices for monitoring, alerting, quality, change management, and incident response.\nEnsure data accuracy, reliability, lineage, and compliance across data workflows.\nLead architectural capacity planning, performance tuning, and cost optimization initiatives.\nMentorship & Team Development\nCoach and mentor senior and mid-level data engineers; provide technical reviews and guidance.\nHelp build a strong engineering culture focused on collaboration, learning, and high-quality delivery.\nWhat you’ll need:\n10+ years of professional experience in data engineering, software engineering, or related fields.\nProven experience architecting large-scale data platforms used for analytics, operational reporting, and ML/AI.\nDeep expertise in designing and building scalable ETL/ELT pipelines, data warehouses, and data lakes.\nStrong background in distributed data processing (e.g., Spark, Flink, Hadoop) and realtime systems (e.g., Kafka, Kinesis).\nDemonstrated success owning engineering workstreams end-to-end (design → deployment → operational support).\nTechnical Skills\nAdvanced proficiency in SQL and at least one programming language (Python, Java, Scala).\nExperience with cloud data platforms and infrastructure (AWS preferred: Redshift, S3, Glue, Lambda, EMR, Athena, Kinesis).\nData modeling expertise (dimensional, star/snowflake schemas, OLAP design).\nStrong understanding of data governance, quality frameworks, and metadata practices.\nHands-on experience with orchestration tools (e.g., Airflow, dbt, or similar).\nLeadership & Communication\nExceptional problem-solving, analytical, and strategic thinking skills.\nExcellent written and verbal communication; capable of translating complex concepts for technical and non-technical audiences.\nTrack record of influencing technical direction and collaborating with senior leadership.\nNice-to-Have Qualifications:\nMaster’s degree or higher in Computer Science, Engineering, Mathematics, or related field.\nExperience in highly regulated or consumer-facing environments with strong security and compliance needs.\nPrior experience mentoring across teams and shaping engineering culture.\nFamiliarity with containerization, CI/CD, IaC (Terraform/CloudFormation), and observability tools.\nIf 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.\nBase Compensation: $166,000 - $172,000 per year\nWhy you will love working here:\nCompetitive salary packages\nComprehensive medical, dental, vision, and life insurance benefits for you and your family\nFlex PTO for exempt employees and competitive PTO for non-exempt\nPaid parental leave for eligible employees\n401(k) matching\nTuition reimbursement on approved programs\nGreat health & well-being benefits including Teladoc for general medical and mental health care\nBenefits are only applicable to full-time employees, those who work 30 hours or more weekly.\nAll iTradeNetwork positions are hybrid unless listed otherwise; candidates must be located in the hub(s) listed.\nAdditional Requirements:\nMust be able to demonstrate lawful ability to work in the United States\niTradeNetwork, 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. 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