IT Data Platform Engineer
22 hours ago
Lyndhurst
Job Description Company Overview: NRS is a leading provider of transportation & supply chain solutions. As a family-owned and operated company, NRS has delivered smart logistics solutions to numerous Fortune 500 companies spanning over 70 years. Whether it’s NRT, Keystone, Keystone Fresh, or Keystone Capacity, our innovative energy drives us towards new and valuable solutions for our clients, even as we continuously grow and strengthen our network. We are dedicated to creating a culture that empowers the individual and offers our associates the opportunity to apply their unique skill to the challenges facing our clients. In the office, the warehouse, or on the road, it is this commitment to our innovative spirit that unites us in common mission to push boundaries in the logistics industry. Job Overview: As a member of the Data & Analytics team within the Information Technology organization, reporting to the Manager of Data & Analytics, the Data Platform Engineer is directly responsible for building, operating, and automating internal platforms that abstract infrastructure, tooling, and operational complexity into reliable, self-service capabilities for data engineers, analysts, and data scientists. This individual will play a critical role in scaling enterprise data platforms and tools, standardizing CI/CD processes, ML Ops and deployment frameworks, monitoring and optimizing systems to ensure performance and reduce costs, as well as streamlining data management activities for our data owners and stewards, such as data quality and metadata management automations within the platform. Why this job’s a big deal: As part of a small Data and Analytics team you will have the opportunity to perform a wide range of tasks and manage a modern data technology stack including Snowflake on AWS, Fivetran, dbt, Github, Power BI, and related integrations. You will be the point person for the configuration and operation of all the data platforms and tools, responsible for security administration, cost management, integration, monitoring, resiliency, DataOps processes, MLOps processes, and automations using Python and SQL scripts. You’ll also wear multiple hats on the team, backing up team members in their responsibilities including data engineering tasks and helping translate business needs into technical solutions consistent with enterprise architecture best practices. We value ownership and accountability while building our external products to be the best in the world for our customers. We need an innovator that will solve complex technical problems, drive new data initiatives and introduce positive change in a highly engaged, collaborative environment, helping us leverage the value of data for our customers, partners, and employees. Job Description: Lead, Manage, and hold Accountable • Support and promote the company values, culture, and HR processes, • Establish technical standards, best practices, and architectural guidelines for data and analytics, • Provide thought leadership on emerging technologies, tools, and methodologies in data engineering, platform engineering, and analytics., • Mentor and develop team members in good data engineering principles and platform features, fostering technical growth and career development., • Ensure adherence to data governance, security, and compliance policies across all data and platform initiatives., • Architect and maintain enterprise-scale data pipelines, ingestion, storage, and transformation processes using Fivetran, dbt, and Github., • Implement and enforce data quality, lineage, observability, and certification processes with the platform., • Integrate metadata from across the platform to support data quality, metadata management, and end-to-end observability., • Integrate and automate activities and processes to help data architects and owners manage security approvals, retention, master data, metadata, and reference data policies., • Oversee deployment and operationalization of analytics, reporting, and machine learning platforms., • Monitor, support, and troubleshoot issues with data platforms, tools, connections, pipelines, security, and data users., • Identify opportunities to leverage data and analytics for business impact and operational efficiency., • Design and deliver scalable, reusable data products and platforms that enable self-service analytics., • Prototype and evaluate emerging technologies, frameworks, and tools for adoption in enterprise data platforms., • Automate manual processes and standardize workflows to reduce friction and improve agility., • Collaborate with business and team to understand data needs, translate requirements, and prioritize initiatives., • Serve as a trusted advisor for analytics strategy and platform capabilities., • Communicate progress, challenges, and risks to leadership and business stakeholders in a clear and actionable manner., • Foster strong partnerships with cross-functional teams, including IT, finance, and operations., • Advocate for data-driven decision-making across the organization., • In the first 15 months:, • Decrease data product development time by 25% through automation of manual processes, • Automate platform administration tasks by 80% through integrations and stored procedures, • Decrease data ingestion and compute costs by 20% through optimization and improved ingestion processes, • Automate capture of 10 data quality metrics in Snowflake for all data products, • Standardize 7 data quality test package in dbt for data engineers to add to all data products, • Bachelor’s degree in Computer Science, or a related field, or equivalent practical experience., • 5+ years of experience in platform engineering, database administration, or related technical roles., • 3+ years of experience in data engineering, • 5+ years of Python., • 5+ years of SQL., • 2+ years of dbt, with demonstrated ability to design modular, decoupled, and reusable systems using sound software engineering principles., • 2+ years of AWS experience, including Lambda, S3, Step Functions, Glue, Athena, SNS, EventBridge, or other relevant data-related services., • Exposure to machine learning platforms or advanced analytics use cases (preferred)., • Familiarity with Power BI tenant administration and security (preferred)., • Design and operate enterprise-scale data platforms (data warehouses, lakehouses, or hybrid architectures); proficiency with Snowflake is a plus., • Build self-service platforms, reusable frameworks, or internal developer tools., • Strong understanding of distributed systems, columnar performance tuning, and scalability considerations., • Familiarity with security best practices, including IAM, secrets management, and least-privileged access., • Conceptual understanding of networking and server infrastructure (enough to integrate with networking/infrastructure teams)., • Excellent written documentation and code commenting., • Excellent verbal communication and interpersonal skills., • Understanding of data governance and management principles., • Continuous learning mindset; stays updated with emerging data analytics technologies and techniques. NRS is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. #NRSIND