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Data Engineer Jobs in Hanover, NH (NOW HIRING)

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Data Engineer information

See Hanover, NH salary details

$44.4K

$129.5K

$177.2K

How much do data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer in Hanover, NH is $129,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $137,300.00 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 Hanover, NH?

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Hanover, NH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $129,506 per year, or $62.3 per hour.

Contact Center Systems Engineer

Techvilla Solutions

Orange, VT • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a Contact Center Systems Engineer with strong expertise in Avaya ACD and enterprise contact center technologies. The ideal candidate will support, troubleshoot, optimize, and maintain contact center infrastructure, including ACD platforms, telephony systems, call routing, IVR solutions, SIP trunking, and carrier integrations. This role requires strong analytical skills, hands-on troubleshooting experience, and the ability to support mission-critical contact center operations in a 24x7 environment.

Key Responsibilities
  • Design, configure, support, and optimize enterprise contact center solutions with a primary focus on Avaya ACD platforms.
  • Troubleshoot complex call routing, IVR workflows, call flows, routing logic, and telephony system issues.
  • Manage carrier connectivity, including SIP trunks, toll-free services, DIDs, DNIS, ANI, toll fraud prevention, and related telephony services.
  • Monitor and troubleshoot voice quality issues, including latency, jitter, packet loss, and VoIP performance.
  • Perform root cause analysis using system logs, troubleshooting traces, SQL queries, XML files, and diagnostic tools.
  • Configure and support ODBC connections and data integrations.
  • Collaborate with network, application, and infrastructure teams to resolve complex production issues.
  • Participate in a 24x7 on-call rotation and support incident, problem, and change management activities.
  • Maintain technical documentation, runbooks, network diagrams, and operational procedures.
  • Track incidents and service requests using ITSM tools such as ServiceNow.
  • Support contact center integrations including CTI, IVR/VRU, call recording, Workforce Management (WFM), and digital communication channels.
  • Ensure systems comply with security, access control, and data privacy standards including PCI, PII, and HIPAA.
  • Communicate technical issues and recommendations effectively to technical and non-technical stakeholders.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Telecommunications, or a related field (or equivalent experience).
  • 5+ years of experience supporting enterprise contact center or telephony environments.
  • Strong hands-on experience with Avaya ACD or another enterprise Automatic Call Distribution platform.
  • Deep understanding of ACD architecture, call routing, IVR configuration, and contact center operations.
  • Experience with SIP trunking, VoIP protocols (SIP, SRTP), and enterprise telephony technologies.
  • Strong knowledge of TCP/IP networking fundamentals and voice quality troubleshooting.
  • Experience writing SQL queries for troubleshooting and reporting.
  • Working knowledge of XML, ODBC configuration, and file transfer utilities.
  • Experience with ServiceNow or other ITSM/ticketing platforms.
  • Strong understanding of incident, problem, and change management processes.
  • Excellent troubleshooting, analytical, and communication skills.

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