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Entry Level Big Data Engineer Jobs in Massachusetts

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of health ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of health ...

IBM

Data Engineer - Data & Analytics Platforms

Boston, MA · On-site

$87 - $128/hr

Your role and responsibilities As a Senior Data Engineer within Data & Analytics Platforms, you ... Experience with big data technologies (e.g., Hadoop, Spark). * Experience supporting analytics ...

Mwe

Pricing Data Engineer

Boston, MA · On-site

$110K - $169K/yr

Build your big career with the firm that does Big Law, Better . McDermott Will & Schulte is a ... The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ...

Elutions

Domain Engineer

Boston, MA

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

Elutions

Domain Engineer

Boston, MA · On-site

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

STR

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

Our team consists of passionate and motivated engineers with advanced degrees in engineering ... Experience working with large datasets (> 100 GB) and familiarity with big data infrastructure and ...

Mitre

Senior Software Developer, Data Analytics

Bedford, MA · On-site

$57.25 - $75.75/hr

Software languages and big data technologies needed include: Java, Python, R, C#, C, SAS, analytic ... Experience with the Map Reduce programming model and technologies such as Hadoop, Hive, and Pig is ...

USM

Senior Core Java Developer

Boston, MA

Senior Core Java Developer Location: Boston, MA, 2116 Duration: 6-12 months Interview: Phone and ... Big Data Other Skills: AWS Akka is not Mandatory This is a back-end project . We are migrating ...

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Entry Level Big Data Engineer information

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How much do entry level big data engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level big data engineer in Massachusetts is $68.78, according to ZipRecruiter salary data. Most workers in this role earn between $58.56 and $77.45 per hour, depending on experience, location, and employer.

What is an entry level big data engineer?

An Entry Level Big Data Engineer is responsible for designing, building, and maintaining data pipelines that process large volumes of structured and unstructured data. They work with big data technologies like Hadoop, Spark, and cloud-based solutions to support data storage, transformation, and analysis. Their role often involves writing ETL (Extract, Transform, Load) scripts, optimizing data workflows, and ensuring data quality. They collaborate with data scientists, analysts, and software engineers to enable scalable data solutions. This position requires knowledge of programming languages like Python, Java, or Scala and familiarity with SQL and distributed computing concepts.

What are the key skills and qualifications needed to thrive as an entry level big data engineer?

To thrive as an Entry Level Big Data Engineer, you should have a solid understanding of programming languages like Python or Java, basic knowledge of data processing frameworks such as Hadoop or Spark, and a relevant degree in computer science, data engineering, or a similar field. Familiarity with data storage technologies, cloud platforms (AWS, Azure, or Google Cloud), and introductory-level certifications in these tools are commonly expected. Strong analytical thinking, problem-solving skills, and effective communication are valuable soft skills for this position. These capabilities are crucial for efficiently handling large datasets, collaborating with technical teams, and delivering reliable data solutions in a fast-paced environment.

What are some typical projects or tasks an entry level big data engineer might work on?

As an Entry Level Big Data Engineer, you can expect to assist in building data pipelines, cleaning and transforming raw data, and supporting the integration of data from multiple sources. You may collaborate with data scientists and senior engineers to help maintain or optimize data storage systems and ensure data quality. Your daily tasks could include writing simple scripts, monitoring data flows, and troubleshooting issues under the guidance of more experienced team members. This role offers a great opportunity to learn from hands-on projects while developing a deep understanding of big data systems and engineering best practices.

What are the most commonly searched types of Big Data Engineer jobs in Massachusetts?

The most popular types of Big Data Engineer jobs in Massachusetts are:

What are popular job titles related to Entry Level Big Data Engineer jobs in Massachusetts?

For Entry Level Big Data Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Entry Level Big Data Engineer jobs in Massachusetts look for?

The top searched job categories for Entry Level Big Data Engineer jobs in Massachusetts are:

Entry Level Big Data Engineer jobs near you

AI Data Engineer

C the Signs

Boston, MA • On-site, Remote

$124K - $149K/yr

Full-time

Re-posted 26 days ago

Job description

Position Summary

The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data.

You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement

Key Responsibilities
  • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
  • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
  • Document data engineering processes, data models, and data dictionaries.
  • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Requirements

Required
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on big data technologies.
  • Strong proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks like Apache Spark for distributed processing.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Preferred
  • Master's degree in a related field.
  • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).
  • Familiarity with machine learning concepts and LLM fine-tuning processes.
  • Experience with data orchestration tools (e.g., Apache Airflow).
Work Authorization:
    • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits

Why Join Us?

Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Apply