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Data Engineer Jobs in Derry, NH (NOW HIRING)

CGI Inc.

Data/Cloud Software Engineer

Merrimack, NH · On-site

$117K - $140K/yr

Find similar career opportunities Data/Cloud Software Engineer Category: Software Development/ Engineering Main location: United States, New Hampshire, Merrimack Position ID:J0726-0105 Employment ...

Symbotic

Staff AI Data Analytics Engineer

Wilmington, MA · On-site

$125K - $150K/yr

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 ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Derry, NH

Data Engineer information

See Derry, NH salary details

$44.9K

$130.8K

$179K

How much do data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data engineer in Derry, NH is $130,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Derry, NH?

The most popular types of Data Engineer jobs in Derry, NH are:

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For Data Engineer jobs in Derry, NH, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Derry, NH look for?

The top searched job categories for Data Engineer jobs in Derry, NH are:

What cities near Derry, NH are hiring for Data Engineer jobs?

Cities near Derry, NH with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Derry, NH as of September 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $130,845 per year, or $62.9 per hour.

Senior Data Engineer - Robotics - Wilmington, Ma

Wilmington, MA

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about Motion Recruitmentexternal

$115K - $157K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

Job Description

A rapidly growing robotics company is hiring a Senior Data Engineer to help build the data infrastructure that powers next-generation autonomous warehouse automation solutions. The organization develops autonomous mobile robotic systems used in large-scale fulfillment and logistics environments, enabling customers to optimize inventory movement, order fulfillment, and operational efficiency through advanced robotics and intelligent software.

As a Senior Data Engineer, you will play a critical role in designing and scaling the data platforms that support robotic operations, fleet management, analytics, machine learning initiatives, and customer-facing reporting. You will work closely with robotics engineers, software developers, product managers, data scientists, and operations teams to transform massive volumes of telemetry, operational events, sensor data, and system logs into reliable and actionable datasets.

In this role, you will build highly scalable data pipelines that collect information from thousands of connected robotic devices operating in real-world environments. You will be responsible for ensuring data quality, reliability, accessibility, and performance across the organization's analytics ecosystem. The ideal candidate enjoys solving complex engineering challenges involving high-volume streaming data, distributed systems, cloud platforms, and real-time operational insights. This position offers the opportunity to work at the intersection of robotics, data engineering, and industrial automation while helping drive the future of warehouse technology.

Required Skills & Experience

  • Strong proficiency in Python and SQL

  • Experience building and maintaining large-scale data pipelines

  • Experience with cloud-based data platforms (AWS preferred)

  • Knowledge of ETL and ELT frameworks

  • Experience with data warehousing technologies

  • Experience processing large volumes of event-driven or streaming data

  • Knowledge of distributed data systems and scalable architectures

  • Experience with Spark, Kafka, Airflow, or similar technologies

  • Strong understanding of data modeling and database design

  • Software engineering best practices including testing and version control

Desired Skills & Experience

  • 5+ years of Data Engineering experience

  • Experience working with IoT, robotics, sensor, or telemetry datasets

  • Experience supporting machine learning or analytics teams

  • Familiarity with real-time data processing architectures

  • Knowledge of warehouse automation, logistics, or supply chain technologies

  • Experience with Databricks or modern cloud analytics platforms

  • Bachelor's degree in Computer Science, Data Engineering, Engineering, or related field

  • Experience working in a fast-paced startup or high-growth environment

What You Will Be Doing

Daily Responsibilities

  • 100% Hands On

  • Design and develop scalable pipelines that ingest telemetry data from robotic fleets

  • Build data solutions supporting analytics, reporting, and machine learning initiatives

  • Create and maintain data models optimized for operational and business intelligence use cases

  • Develop real-time and batch processing workflows for robotic system data

  • Partner with robotics and software engineering teams to improve data collection and accessibility

  • Monitor pipeline performance and troubleshoot data quality issues

  • Support customer-facing analytics and operational reporting solutions

  • Implement data governance, validation, and monitoring processes

  • Optimize storage, processing, and retrieval of large-scale operational datasets

  • Contribute to architectural decisions involving cloud-native data platforms and services

The Offer

  • Bonus OR Commission eligible

You will receive the following benefits

  • Medical Insurance

  • Dental Benefits

  • Vision Benefits

  • Paid Time Off (PTO)

  • 401(k) (including match, if applicable)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply