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Data Analytics Platform Engineer Jobs in Nashua, NH

I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through ... Minimum of 8 years of experience in data analytics, analytics engineering, data science, business ...

Health Data Analytics Engineer

Bedford, MA · On-site

$120K - $144K/yr

Contribute to the team's growing set of development platforms, tools, and processes. * Work closely ... Experience with data analysis, data fusion and integration. * Strong analytical skills and comfort ...

Data Engineer

Burlington, MA · Remote

$145K - $180K/yr

Design the internal data platform that enables engineering teams to ingest, organize, and analyze data collected from deployed radar systems. * Build the internal data platform that enables ...

Data Engineer

Burlington, MA · On-site

$125 - $150/hr

Design the internal data platform that enables engineering teams to ingest, organize, and analyze data collected from deployed radar systems. * Build the internal data platform that enables ...

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Data Analytics Platform Engineer information

See Nashua, NH salary details

$44.9K

$131K

$179.3K

How much do data analytics platform engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data analytics platform engineer in Nashua, NH is $131,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,900.00 per year, depending on experience, location, and employer.

What is a data analytics platform engineer?

A Data Analytics Platform Engineer is a technology professional who designs, builds, and maintains the infrastructure that enables organizations to collect, store, process, and analyze large volumes of data. They work with various data platforms, cloud services, and analytics tools to ensure data can be accessed efficiently and securely by analysts and data scientists. Their responsibilities include integrating different data sources, optimizing data pipelines, ensuring scalability and performance, and implementing best practices for data governance and security. This role is vital for organizations aiming to leverage data-driven insights to make informed business decisions.

What are the key skills and qualifications needed to thrive as a data analytics platform engineer?

To thrive as a Data Analytics Platform Engineer, you need expertise in data engineering, cloud platforms, and programming languages such as Python or Java, often supported by a degree in computer science or a related field. Familiarity with technologies like Apache Spark, Hadoop, SQL/NoSQL databases, and cloud services (AWS, Azure, or GCP) as well as certifications in these areas is highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities are essential for building robust, scalable analytics solutions and ensuring seamless data processing to drive business insights.

What are some common challenges faced by data analytics platform engineers when integrating new data sources?

Data Analytics Platform Engineers often encounter challenges such as ensuring compatibility between diverse data formats, maintaining data quality during ingestion, and managing data security and privacy concerns. Integrating new sources may also require updating data pipelines, coordinating with data owners, and troubleshooting connection or schema issues. Effective communication with stakeholders and thorough testing are essential to minimize disruptions and maintain platform reliability.

What is the difference between Data Analytics Platform Engineer vs Data Engineer?

AspectData Analytics Platform EngineerData Engineer
Primary FocusBuilding and maintaining analytics platforms and tools for data analysisDesigning, constructing, and maintaining data pipelines and infrastructure
Skills & CertificationsData platform tools, SQL, cloud services, analytics frameworksETL processes, database systems, programming (Python, Java), cloud platforms
Work EnvironmentCollaborates with data analysts and data scientistsWorks closely with data engineers and software developers
Industry UsageUsed in organizations focusing on data analytics and BIUsed across industries for data infrastructure and pipeline development

While both roles involve working with data infrastructure, Data Analytics Platform Engineers focus on creating platforms for data analysis, whereas Data Engineers build the pipelines and systems that enable data flow and storage. Understanding these differences helps in choosing the right career path or job fit.

Infographic showing various Data Analytics Platform Engineer job openings in Nashua, NH as of September 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 80% In-person, 5% Hybrid, and 15% Remote job distribution, with an average salary of $131,020 per year, or $63 per hour.

Staff AI Data Analytics Engineer

Wilmington, MA • On-site

Symbotic
Computer and Computer Peripheral Equipment and Software Wholesalers • 51 - 200 employees

$150 - $200/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Symbotic rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

184th of 247 rated software companies


Job description

Who we areWith its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.What we needWe are looking for an AI Analytics Engineer to join Symbotic. Your job will be to design and build an intelligent analytics ecosystem that aggregates operations data across multiple systems and leverages agentic AI to generate insights, dashboards, and proactive recommendations for executive leadership. This individual will play a critical role in enabling scalable, real-time visibility into business performance as we grow globally, with a focus on hands-on development of robust, production-level data systems and dashboards.The ideal candidate brings broad exposure to different areas of a business and is comfortable moving across functions, asking questions, challenging assumptions, and proactively seeking out the information needed to solve ambiguous problems.What you’ll doBusiness Analysis & Strategic InsightsPartner with leaders and cross-functional teams to understand business questions, reporting needs, risks, and opportunities.Work across different areas of the organization and develop an understanding of how business functions, processes, metrics, and data connect.Analyze data to identify trends, risks, inefficiencies, and performance gaps, then translate findings into clear recommendations and next steps.Proactively seek out answers, challenge assumptions when appropriate, and navigate ambiguity across different layers of the business.Present your insights to C-suite level leaders to influence their strategy and operation thinking.Data Consumption & AnalyticsWork with data engineering and platform teams to understand and consume data from existing enterprise data sources.Understand database and schema structures, relationships between datasets, metric definitions, and how information flows across systems.Use SQL and Python to query, analyze, transform, and work with data for custom analytics and reporting use cases.Partner with teams responsible for data pipelines and infrastructure to communicate data requirements and resolve gaps or quality issues.Reporting, Dashboards & Data ExplorationBuild custom dashboards and executive-ready reporting that clearly communicate KPIs, trends, risks, and business performance.Use visualization and analytics tools such as Tableau, Power BI, Qlik, Looker, or similar platforms where appropriate.Develop custom analytics experiences using Python, SQL, and other tools when traditional BI platforms are not sufficient.Build mechanisms that allow users to search, query, drill into, and explore underlying data, including self-service and natural-language experiences where appropriate.Ensure reporting is intuitive, actionable, and aligned with the decisions business leaders need to make.AI-Enabled Analytics & ReportingBuild on top of existing LLMs, agents, and enterprise AI capabilities to make analytics and reporting more effective.Develop plugins, tools, integrations, search capabilities, and other reusable assets that extend existing AI platforms.Use AI to automate or enhance data analysis, reporting, summarization, insight generation, and information retrieval.Data Quality, Metrics & GovernanceEstablish and enforce enterprise-wide data governance and standards, including clear ownership of core metrics across systems, metric definitions, calculation methodologies, source-of-truth alignment across systems.Lead data governance and data quality efforts, including identifying and remediating inconsistencies across data sources and pipelines, and ensuring accuracy, consistency, and trust in analytics outputs.What you’ll needBachelor’s degree or higher in Computer Science, Data Science, Engineering, Mathematics, Business Analytics, Information Systems, or a related discipline.Minimum of 8 years of experience in data analytics, analytics engineering, data science, business intelligence, business analytics, or a related field.Strong business analysis skills, including the ability to turn loosely defined questions into structured analysis and data-driven recommendations.Hands-on experience applying LLMs or existing AI/agent platforms to analytics, reporting, search, or workflow automation. Experience building plugins, tools, integrations, or reusable capabilities on top of existing AI platforms is preferred.Experience working with large, multi-source datasets and partnering with data engineering teams to define data requirements and resolve data issues.Strong proficiency in SQL and Python for querying, analysis, automation, and building custom analytics solutions.Strong understanding of databases, schemas, data relationships, and how to consume and work with enterprise data layers.Experience building dashboards and executive reporting using Tableau, Power BI, Qlik, Looker, or similar visualization platforms.Experience building custom mechanisms or interfaces that allow users to search, query, or explore data is strongly preferred.Strong communication skills and the ability to present complex data and recommendations to senior and executive stakeholders.Highly proactive and comfortable operating in ambiguous, fast-paced environments where curiosity, ownership, and adaptability are critical.Our environmentUp to 10% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.#LI-Hybrid#LI-DWAbout SymboticSymbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer.We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.The base range for this position in the posted location is $149,000.00 - $204,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits. #J-18808-Ljbffr

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