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Contract Data Engineering Jobs in Boston, MA (NOW HIRING)

Principal Pricing Data Engineer

Milford, MA · On-site

$125K - $150K/yr

Responsibilities Pricing Data Engineering & Architecture * Design and build scalable, reliable data ... Transactional sales data (orders, invoices, contracts) * Price lists, discounts, rebates, and ...

Data Engineer

Wakefield, MA · On-site

$120K - $145K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness. * Instrument data pipelines for monitoring, alerting ...

Data Engineer

Wakefield, MA · On-site

$90K - $150K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness. * Instrument data pipelines for monitoring, alerting ...

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness. * Instrument data pipelines for monitoring, alerting ...

Data Product Manager

Marlborough, MA · Remote

$50 - $65/hr

The start date is ASAP for this 6-month contract position. Job Title: Merchandise Data Product ... Partner with data engineering and data science teams to deliver scalable data solutions.

... contracts, and build-vs-buy decisions, while enabling ML Engineering, Analytics, DevOps, and ... Data Governance & Security - Implement and evolve least-privilege access controls across Databricks ...

Principal Data Engineer

Boston, MA · On-site

$175 - $200/hr

... contracts, and build-vs-buy decisions, while enabling ML Engineering, Analytics, DevOps, and ... Data Governance & Security - Implement and evolve least-privilege access controls across Databricks ...

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

You'll partner closely with engineering, operations, and leadership to deliver analytics that ... data contracts and schema standards that make our Snowflake environment trustworthy as we scale.

Boston, MA Long Term Contract * Overall experience 7 to 8 years in Scala-Spark data engineering and Data pipeline design * Overall experience 7 to 8 years in Scala-Spark data engineering and Data ...

Business Data Architect

Westwood, MA · On-site

$71.25 - $91.75/hr

The Business Data Architect (Contract) will support enterprise data initiatives by designing and ... Partner with product owners, domain architects, and data engineering teams to translate business ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Engineering Rigor: Standardize operational frameworks for data verification, tracing, compliance ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Showing results 21-40

Contract Data Engineering information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do contract data engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for contract data engineering in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 per year, depending on experience, location, and employer.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

What are the key skills and qualifications needed to thrive as a contract data engineer?

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.
What are the most commonly searched types of Data Engineering jobs in Boston, MA? The most popular types of Data Engineering jobs in Boston, MA are:
What job categories do people searching Contract Data Engineering jobs in Boston, MA look for? The top searched job categories for Contract Data Engineering jobs in Boston, MA are:
Infographic showing various Contract Data Engineering job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

Principal Pricing Data Engineer

Waters Corporation

Milford, MA

$125K - $150K/yr

Full-time

Re-posted 22 days ago


Job description

Overview

Transformation at Waters Corporation is driving the next phase of enterprise evolution. Our mission is to accelerate integration, execution, and value capture while transforming the capabilities that power our business. As part of our vision for the Enterprise of the Future, we are building the data foundation required for advanced technologies such as artificial intelligence, while actively developing Agentic AI capabilities to accelerate data-driven automation across the enterprise. This work enables smarter decision making, scalable automation, and faster realization of business value. This is a unique opportunity to join a team at the center of Waters' transformation, working on high-impact initiatives that shape the future of the enterprise.

As a Principal Pricing Data Engineer, you will be a senior technical contributor and domain expert who partners closely with other members of the Pricing Excellence team, as well as colleagues across each Division. You will bring deep technical expertise and own technical solutions for the pricing domain, operating with a high degree of independence. You will design, build, and enhance robust data pipelines, platforms, and automation that specifically enable pricing strategy, analytics, and execution. This includes supporting advanced pricing capabilities such as price waterfall analysis, discount optimization, segmentation, and margin expansion.

This role remains hands-on but with elevated responsibility for data architecture, pricing data models, and cross-functional alignment. You will serve as a key problem solver for complex pricing data challenges and a trusted partner to both technical and business stakeholders, ensuring pricing data is accurate, accessible, and actionable across the enterprise.**This role is hybrid and the office is located in Milford, MA. This is NOT a remote position.**

Responsibilities

Pricing Data Engineering & Architecture

  • Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist pricing-relevant data, including:
    • Transactional sales data (orders, invoices, contracts)
    • Price lists, discounts, rebates, and surcharges
    • Cost, margin, and profitability data
  • Develop and maintain pricing-specific data models, including:
    • Price waterfall
    • Customer and product segmentation hierarchies
    • Realized price and margin analytics
  • Define and implement the end-to-end pricing data architecture, ensuring integration across systems such as ERP, CRM, and CPQ.
  • Establish scalable frameworks to support global pricing governance and standardization across divisions and regions.

Advanced Data Engineering & Platform Development

  • Contribute to and influence data platform design for analytics, machine learning, and Agentic AI workloads, with a focus on pricing use cases.
  • Build high-performance data pipelines capable of supporting:
    • Large-scale transactional datasets
    • Near real-time pricing insights and monitoring
  • Implement and maintain data quality checks, validation logic, and monitoring dashboards to ensure pricing data integrity and auditability.
  • Optimize data pipelines for performance, cost efficiency, and scalability in cloud environments.

Pricing Analytics & Decision Enablement

  • Partner closely with Global Pricing and Commercial teams to translate business problems into scalable data solutions.
  • Enable advanced pricing analytics, including:
    • Price realization and leakage analysis
    • Discount and rebate effectiveness
    • Customer/product elasticity modeling (in collaboration with data science)
  • Ensure pricing data is model-ready, traceable, and reproducible for analytics and machine learning applications.
  • Support development of pricing dashboards, KPIs, and reporting frameworks used by senior leadership.

Software Engineering Excellence

  • Develop production-grade Python code using strong OOP and functional programming practices.
  • Follow and promote sound engineering practices, including modular design, testing, readability, and maintainability.
  • Participate actively in code reviews, automated testing, and source control workflows.
Qualifications

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, plus 8+ years of relevant industry experience, or equivalent practical experience.
  • Advanced proficiency in Python and SQL, with a strong focus on data engineering use cases.
  • Proven experience building and operating endtoend data pipelines (ETL/ELT) in modern data environments.
  • Solid understanding of source control, collaborative development workflows, and production support.
  • Strong experience working with commercial and pricing-related data (e.g., sales transactions, pricing, margins, rebates).
  • Experience mentoring peers and contributing to technical best practices within a team environment.
  • Strong communication skills and the ability to work effectively with both technical and nontechnical partners.
  • Demonstrated drive, curiosity, humility, and ability to learn.

Nice to Have / Plus Qualifications

  • Familiarity with process mining platforms such as Celonis, including working with eventbased data and enabling transparency into endtoend business processes.
  • Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial operations), and/or Service Excellence domains, with the ability to translate business processes into scalable data solutions.
Company Description

Waters Corporation (NYSE:WAT)  is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.  

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.

Employment Type: OTHER