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Senior Data Engineer Jobs in Bath, ME (NOW HIRING)

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The role is designed for early-career data scientists who will work under the guidance of senior data scientists, AI engineers, and faculty leads. The Data Scientist will contribute to data analysis ...

NorthEastern

Data Scientist

Portland, ME

$87K - $123K/yr

The role is designed for early-career data scientists who will work under the guidance of senior data scientists, AI engineers, and faculty leads. The Data Scientist will contribute to data analysis ...

Td

Data Scientist III - FCRM

Lewiston, ME · On-site

$96K - $155K/yr

Position typically deals with senior/executive management * Works independently on activities ... Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing ...

Td

Data Scientist III - FCRM

Portland, ME · On-site

$96K - $155K/yr

Position typically deals with senior/executive management * Works independently on activities ... Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing ...

MasTec Industrial

Sr. Project Engineer

Lewiston, ME · On-site

$130K - $160K/yr

Overview: The Sr. Project Engineer role will oversee and execute the project controls and ... Direct Field Engineers to gather and prepare data for submittal or transmittal to the customer ...

FHR

M-78-Data Architect 144227.

Portland, ME · On-site

$65.25 - $84/hr

Mentor junior developers, providing technical guidance and expertise. Required Skills & Experience ... Senior-level DBA experience with Oracle databases (on-premises and cloud). * Strong proficiency in ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Bath, ME

Senior Data Engineer information

See Bath, ME salary details

$81.2K

$126.7K

$175.5K

How much do senior data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior data engineer in Bath, ME is $126,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $144,400.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Bath, ME?

The most popular types of Data Engineer jobs in Bath, ME are:

What job categories do people searching Senior Data Engineer jobs in Bath, ME look for?

The top searched job categories for Senior Data Engineer jobs in Bath, ME are:

What cities near Bath, ME are hiring for Senior Data Engineer jobs?

Cities near Bath, ME with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Bath, ME as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $126,700 per year, or $60.9 per hour.

Forward Deployed Engineer - EU and US (East)

Outsized

Poland, ME • On-site

$200.88 - $267.84/hr

Other

Posted 4 days ago

Job description

Forward Deployed Engineer - EU and US (East)

Experience Senior (11-15 years) | Expert (15+ years)

Est. Start August 3, 2026

Duration 4 Months

Tech company in data management

Remote

United States

Poland

Spain

United Kingdom

Required Skills Data Engineering Solution Architecture Power BI AWS Python Data Processing Data Modelling PySpark Prototyping

Project Overview

A leading data platform organisation is seeking multiple Forward Deployed AI/Data Engineers (Lead level) to support the delivery of data-driven solutions for its initial customer base.

As part of the Field Engineering team, these consultants will work directly with customers to translate business requirements into Proof of Concept (PoC) data products built on the organisation’s operating system. The role will involve hands‑on development across the full lifecycle of analytics and data product delivery, while also contributing to the evolution of the platform through real‑world feedback.

This is an urgent requirement, with three positions available for immediate onboarding. Candidates must be highly self‑sufficient, requiring minimal ramp‑up time, and capable of operating in client‑facing environments.

The role is remote, aligned to EU or US East time zones, with limited travel expected aside from periodic company‑wide events.

Key Responsibilities
  • Lead the development of PoC data products built on the organisation’s OS for initial customers
  • Translate business requirements into data models, pipelines, dashboards, and machine learning solutions
  • Work closely with customers to support adoption of data mesh across the full lifecycle, from data integration to infrastructure optimisation
  • Design and build end-to-end data solutions, including prototyping and production deployment
  • Manage the full lifecycle of PoC delivery, from ideation through to successful deployment
  • Develop and test data using synthetic datasets before production release
  • Collaborate with internal teams to provide feedback and improve platform capabilities and tooling
  • Support continuous integration and deployment processes to optimise build and release cycles
  • Engage directly with stakeholders, articulating solutions and demonstrating value
Your Background
  • 7+ years’ experience as a Data Engineer, Forward Deployed Engineer, Field Solutions Engineer, or Solutions Architect
  • Proven experience in customer‑facing roles with strong communication skills
  • Hands‑on experience across the full analytics lifecycle, including data modelling, pipeline development, and dashboarding
  • Experience with tools such as Looker, PowerBI or similar for demonstration purposes
  • Strong programming capability in Python and/or other languages, with a focus on rapid prototyping
  • Experience building and managing data processing pipelines using tools such as Airflow, Dagster, Prefect, or dbt
  • Familiarity with machine learning environments such as PySpark and Pandas
  • Experience working with cloud infrastructure, including Kubernetes, Google Cloud, AWS, or Azure
  • Experience working with complex data pipelines in large‑scale data environments
  • Strong interest in applying data to machine learning and analytics use cases
Desirable:
  • Understanding of data mesh principles
  • Experience contributing to open‑source or internal data infrastructure products
  • Experience solving ambiguous business problems with end‑to‑end data solutions
  • Ability to quantify and communicate the business value of data solutions
  • Experience with test‑first data pipeline development
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