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Data Engineer Data Jobs in Manchester, NH (NOW HIRING)

Senior Software Engineer - Data Platform

Nashua, NH · On-site

$123K - $163K/yr

We are looking for a Senior Software Engineer to join our Data Platform team. We have built sophisticated infrastructure that processes billions of events per day, enriches them via stream processing ...

Data management and data engineering * AI/ML and advanced analytics * Serve as the enterprise authority on clinical data architecture and AI enablement for clinical & medical affairs across all BUs ...

... with Data Engineers and team members to understand data sources, structures, and pipelines that feed BI solutions Identify opportunities to automate manual processes and workflows using Power ...

Showing results 21-40

Data Engineer Data information

See Manchester, NH salary details

$45.8K

$164.3K

$242.4K

How much do data engineer data jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data engineer data in Manchester, NH is $164,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,900.00 and $169,300.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What are popular job titles related to Data Engineer Data jobs in Manchester, NH?

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

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

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

Senior Software Engineer - Data Platform

Nashua, NH • On-site

Optimizely
Software Development • 1 - 5K employees

$123K - $163K/yr

Full-time

Re-posted 12 days ago


Job description

Description
Optimizely is focused on unlocking digital potential and we are the recognized category leader in Digital Experience Platform (DXP) and created the category for A/B Testing and experimentation software. We have incredible customers - isn't that one of the most important aspects of looking for your next job? Optimizely has over 9,000 brands from global organizations such as Visa, Sky, Yamaha, Wall Street Journal to tech innovators like Atlassian, DocuSign, FitBit and Zillow.
Not only are we financially sound and growing but we have unicorn status: Exceeded $300M in revenue in 2020, is profitable already, and has all strategic options ahead of itself. Optimizely continues to invest and addresses a market opportunity north of $30 billion, providing significant personal career growth opportunities.
We are an inclusive culture with a global team of 1200+ people across the US, Europe, Australia, and Vietnam. We blend European and American business culture with emphasis on teamwork, inclusion, and moving fast. People make the difference!
We are looking for a Senior Software Engineer to join our Data Platform team. We have built sophisticated infrastructure that processes billions of events per day, enriches them via stream processing, aggregates and stores them efficiently to support large scale performant queries. This team provides centralized data infrastructure and APIs for Optimizely experimentation, event, and results data needs. This includes distributed databases, streaming platforms, storage solutions and big data infrastructure.
Our users include both paying customers and engineers within the company building data products. The Data Infrastructure team plays an important role in making it easy and efficient for our users to get accurate data into and out of our systems.
What you'll be doing:
  • Design, build and maintain business-critical streaming data and distributed systems, utilizing the best languages, technologies, and platforms for the job.
  • Work with highly scalable systems that processes billions of events per day.
  • Support near real-time steaming analytics insights for data consumers both internally and externally.
  • Drive continuous improvements to the reliability, accuracy, performance, security, and the cost our data infrastructure

Desired qualifications:
  • Strong Software engineering experience.
  • Expertise in object-oriented programming languages like Java
  • Experience with cloud computing platforms like AWS and/or GCP
  • Knowledge of event streaming systems, big data systems, and build/release processes.
  • Love for digging into and solving complex problems.
  • Familiarity with microservice architectures
  • Deep passion and experience with building infrastructure platforms and tools
  • Understanding of scaling and reliability concerns in large systems.
  • Excellent communication and collaboration skills.
  • Knowledge of container services (Docker/Kubernetes) is a plus.

Why you'll succeed:
  • You are curious about how distributed systems operate and fail at scale.
  • You have an automation mindset.
  • You seek to understand problems, and then produce workable and efficient solutions.
  • You reflect and seek feedback on choices and trade-offs in your design process.
  • You seek context to inform your decisions, and you adapt to changes according to the needs of the business.
  • You are curious about emerging technologies and are interested in evaluating and adapting where it makes sense.
  • You are a team player who enjoys collaborating across engineering teams.
  • You appreciate working with people from all walks of life, and you work to respectfully engage and collaborate with colleagues regardless of perspective or experience.