1

Weekend Data Engineering Jobs in Massachusetts (NOW HIRING)

Data Engineer

Reading, MA · On-site

$120K - $145K/yr

PIPELINE ENGINEERING & OPTIMIZATION * ELT/ETL Pipelines: Build, maintain, and optimize robust data flows from critical source systems into Google BigQuery. * Fivetran Administration: Own the health ...

Data Engineer

North Reading, MA · On-site

$119K - $143K/yr

PIPELINE ENGINEERING & OPTIMIZATION * ELT/ETL Pipelines: Build, maintain, and optimize robust data flows from critical source systems into Google BigQuery. * Fivetran Administration: Own the health ...

Data Solution Engineer

Boston, MA · On-site

$124K - $149K/yr

You'll work at the intersection of data engineering, analytics, AI-enabled workflows, and business strategy to build scalable solutions that transform complex datasets into actionable insights. In ...

AI Data Engineer

Lexington, MA · Remote

$100K - $150K/yr

The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Implement software engineering best practices, including CI/CD, version control, automated testing, and secure development practices. * Optimize data processing performance, reliability, and ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Required : • Minimum 8 years of data engineering experience. • Strong proficiency in Python and SQL. • Hands-on experience with Databricks. • Experience with Apache Airflow for orchestration ...

Data Engineer

Wakefield, MA · On-site

$120K - $145K/yr

Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines. * Proficiency in Python and SQL; experience with PySpark or ...

Data Engineer - Senior Manager

Boston, MA · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Lead Data Engineer

Hyannis, MA · On-site

$121K - $145K/yr

Pipeline Engineering: Build ETL/ELT pipelines for incremental and initial data loads into Snowflake using tools such as Matillion, Snowpipe, Dbt, Tasks, and Dynamic Tables, along with external ...

Lead Data Engineer

Hyannis, MA · On-site

$121K - $145K/yr

Pipeline Engineering: Build ETL/ELT pipelines for incremental and initial data loads into Snowflake using tools such as Matillion, Snowpipe, Dbt, Tasks, and Dynamic Tables, along with external ...

Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines. * Proficiency in Python and SQL; experience with PySpark or ...

Lead Data Engineer

Hyannis, MA · On-site

$99K - $139K/hr

Pipeline Engineering: Build ETL/ELT pipelines for incremental and initial data loads into Snowflake using tools such as Matillion, Snowpipe, Dbt, Tasks, and Dynamic Tables, along with external ...

Lead Data Engineer

Hyannis, MA · On-site

$121K - $145K/yr

Pipeline Engineering: Build ETL/ELT pipelines for incremental and initial data loads into Snowflake using tools such as Matillion, Snowpipe, Dbt, Tasks, and Dynamic Tables, along with external ...

Showing results 41-60

Weekend Data Engineering information

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as organizations seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark or Kafka enhance employability in this schedule. Demand depends on industry needs and company size, but data engineering remains a critical role across sectors.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.
What are the most commonly searched types of Data Engineering jobs in Massachusetts? The most popular types of Data Engineering jobs in Massachusetts are:

Senior Data Engineer - Enterprise Data Frameworks (Java Spark Focus)

Citizens

Westwood, MA • Hybrid

$120K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Job description

Description

Senior Data Engineer - Enterprise Data Frameworks

Overview
The Enterprise Data Frameworks team is seeking a Senior Data Engineer with deep expertise in building scalable, high-performance data processing systems using Java, Apache Spark, and modern data engineering tools. This role is ideal for someone passionate about designing resilient data frameworks, optimizing distributed data pipelines, and enabling enterprise-grade data onboarding and automation.

As a Senior Data Engineer, you will lead the development of core components within our data frameworks, integrating Spark-based processing with backend services and APIs. You will collaborate with architects, data engineers, and business stakeholders to deliver secure, compliant, and high-performing solutions.

Primary Responsibilities
Design and implement distributed data processing pipelines using Apache Spark (Java) for large-scale data ingestion, transformation, and analytics
Develop and maintain Java-based microservices and APIs to support data workflows and framework orchestration
Collaborate with UI engineers to integrate backend services with frontend applications for seamless user experiences
Translate business and technical requirements into scalable data engineering solutions
Optimize Spark jobs for performance, reliability, and cost-efficiency across cloud and on-prem environments
Lead code reviews, mentor junior engineers, and contribute to architectural decisions
Ensure compliance with data governance, security, and change management standards
Participate in Agile ceremonies and drive continuous improvement in engineering practices

Required Skills and Experience
7+ years of experience in data engineering with strong proficiency in Java and Apache Spark
Proven experience building and optimizing Spark jobs for batch and streaming data
Solid understanding of data lake architectures, Iceberg/Parquet, and metadata-driven frameworks
Experience with Spring Boot, RESTful APIs, and microservices architecture
Familiarity with CI/CD pipelines, Git, and containerization (Docker/Kubernetes)
Exposure to cloud platforms such as AWS (S3, EMR, Lambda, API Gateway) is a plus
Experience working with data-centric applications and collaborating with frontend and platform teams
Good to have: Experience with Generative AI tools or frameworks for developer assistance, metadata analysis, or automation

Education and Certifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field

Work Schedule
Hours per Week: 40
Location: Hybrid, 4 days on site from a Citizens corporate office, 1 day remote
Schedule: Monday through Friday

Pay Transparency

The salary range for this position is $120,000-160,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.  

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit  https://jobs.citizensbank.com/benefits.

#LI-Citizens2

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST