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Remote Data Optimization Jobs in Cambridge, MA (NOW HIRING)

Data Center Construction Scheduler - Boston, MA This opportunity is with a leading provider of ... Lead and mentor a team of remote consultants, supporting their development and optimizing workload

Sr. Tax Manager (REMOTE)

Waltham, MA ยท Remote

$134K - $167K/yr

... supply chain optimization, and commercial enablement. * Manage global transfer pricing ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

Sr. Tax Manager (REMOTE)

Waltham, MA ยท On-site +1

$134K - $167K/yr

... supply chain optimization, and commercial enablement. * Manage global transfer pricing ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

Senior Engineer

Boston, MA ยท On-site +1

$113K - $155K/yr

No. N266 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Develop algorithms on planning ... And building and optimizing large data pipelines. Ref Job No. N266

Senior SQL Engineer

Boston, MA ยท Remote

$108K - $147K/yr

Performance Tuning & Optimization * Lead SQL Server performance tuning initiatives. * Analyze ... Data Governance * Agile Methodologies * Jira This is a remote position.

Growth Marketing Consultant

Boston, MA ยท Remote

$35 - $40/hr

Remote Start Date Is: 7/15 Duration: Contract through end of year Compensation Range: $35/hr - $40 ... data. * Support enhanced conversion tracking initiatives. * Assist with on-page SEO and landing ...

Showing results 41-60

Remote Data Optimization information

See Cambridge, MA salary details

$18

$62

$89

How much do remote data optimization jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote data optimization in Cambridge, MA is $62.09, according to ZipRecruiter salary data. Most workers in this role earn between $50.96 and $73.56 per hour, depending on experience, location, and employer.

What is a remote data optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote data optimization specialist?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are remote data optimization jobs?

Remote data optimization jobs involve analyzing and improving the efficiency, accuracy, and accessibility of data within an organization. These roles often require skills in data management, database tools, and programming languages like SQL or Python, and may involve tasks such as data cleaning, structuring, and implementing data storage solutions from a remote work environment.

What job categories do people searching Remote Data Optimization jobs in Cambridge, MA look for?

The top searched job categories for Remote Data Optimization jobs in Cambridge, MA are:

What cities near Cambridge, MA are hiring for Remote Data Optimization jobs?

Cities near Cambridge, MA with the most Remote Data Optimization job openings:

Infographic showing various Remote Data Optimization job openings in Cambridge, MA as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,157 per year, or $62.1 per hour.

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

Citizens

Boston, MA โ€ข On-site, Remote

$105K - $158K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Job description

Description

Senior Java Data Engineer
Enterprise Data Frameworks

Role Summary

The Enterprise Data Frameworks team is seeking a Senior Java focused software engineer who builds and maintains large scale data processing systems using Java, Apache Spark, and Kafka. This role is intended for experienced backend engineers with strong core Java fundamentals who apply traditional software engineering practices to data intensive platforms and distributed systems.

The ideal candidate has hands on experience developing production grade Java applications using modern frameworks and IntelliJ based development workflows, paired with practical experience building Spark based processing pipelines and Kafka driven data ingestion services. In this role, you will contribute to the core components of enterprise data frameworks, working closely with senior engineers and architects while remaining deeply involved in design and implementation.

This role requires strong Java engineering skills, the ability to debug and optimize complex Spark applications, and comfort operating in regulated environments where stability, data quality, and reliability are critical.


Key Responsibilities

Design, build, and maintain Java based data processing pipelines using Apache Spark for batch and streaming workloads
Develop and support Java based backend services and APIs that orchestrate data workflows and framework components
Apply solid object oriented design principles to distributed data processing systems
Optimize Spark applications for performance, reliability, and cost efficiency across cloud and on premises environments
Collaborate with architects and senior engineers on technical design and framework evolution
Partner with frontend and platform teams to integrate backend data services where applicable
Translate business and technical requirements into scalable, well structured engineering solutions
Participate in code reviews, contribute to shared standards, and mentor junior engineers
Ensure solutions align with data governance, security, and change management standards
Participate in Agile ceremonies and support continuous improvement of engineering practices


Required Skills and Experience

7+ years of experience as a software engineer or data engineer with strong emphasis on Java backend development
Strong hands on proficiency in Java, including object oriented design, debugging, and performance optimization
Experience building Spark applications in Java for large scale data ingestion and transformation
Practical experience with Apache Kafka and event driven data architectures
Experience developing Java based services using frameworks such as Spring Boot
Solid understanding of distributed systems concepts and data processing architectures
Familiarity with data lake technologies, columnar storage formats such as Parquet or Iceberg, and metadata driven frameworks
Experience using Git based workflows, CI CD pipelines, and modern development practices
Exposure to cloud environments, with preference for AWS based data platforms such as S3, EMR, Lambda, or API Gateway
Experience working in regulated or enterprise environments with strong data governance requirements


Preferred Experience

Experience collaborating with UI or platform teams to integrate backend data services
Experience with containerization and orchestration tools such as Docker or Kubernetes
Exposure to additional JVM or scripting languages such as Scala or Python in a data context
Experience with developer productivity or automation tooling


Education

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


Work Details

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 $105,000-158,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factorsย including but not limited to the work location, and relevant skills and experience.ย ย 

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, visitย https://jobs.citizensbank.com/benefits.

#LI-Citizens1

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