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Live In Data Platform Engineer Jobs in Boston, MA

MatrixSpace

Data Engineer

Burlington, MA · Remote

$145K - $180K/yr

Build the internal data platform that enables engineering teams to ingest, organize, and learn from data collected by MatrixSpace systems in the field. * Build data ingestion, transformation ...

Dlapiper

Data Engineer

Boston, MA

$124K - $149K/yr

Minimum Years of Experience * 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support). Essential Job Expectations While the ...

CarGurus

Manager, Data Platform Engineering

Boston, MA · On-site

$160K - $201K/yr

In fact, we're the largest and fastest-growing automotive marketplace, and we've been profitable ... The Data Engineering team at CarGurus is looking for a Manager of Data Platform & Operations ...

Ascensus

Data Program Architect

Newton, MA · On-site

$180 - $220/hr

Strong background in data engineering and platform design, with hands-on experience architecting and guiding implementations across ingestion, transformation, storage, and access layers; ability to ...

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All JobsLive In Data Platform Engineer JobsLive In Data Platform Engineer Jobs in Boston, MA

Live In Data Platform Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do live in data platform engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for live in data platform engineer 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 Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in Boston, MA? The most popular types of Data Platform Engineer jobs in Boston, MA are:
What are popular job titles related to Live In Data Platform Engineer jobs in Boston, MA? For Live In Data Platform Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Live In Data Platform Engineer jobs in Boston, MA look for? The top searched job categories for Live In Data Platform Engineer jobs in Boston, MA are:
Live In Data Platform Engineer jobs near you
Infographic showing various Live In Data Platform Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 78% In-person, 3% Hybrid, and 19% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

Staff Engineer, Data Platform

Lila Sciences

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Life

Re-posted 6 days ago

Job description

Your Impact at LILA
Lila Sciences is building the software platform that makes automated scientific discovery possible. At the heart of that platform is data: raw outputs from laboratory instruments, experimental model results, curated public datasets, and the scientific literature that contextualizes all of it. The data platform team is responsible for the infrastructure that moves, stores, transforms, and surfaces this data across the organization.
We are looking for a Staff Engineer to set the technical direction for our core data infrastructure: ingestion frameworks, storage architecture, orchestration patterns, and the interfaces that let scientists and ML researchers work with data reliably at scale. You will work closely with software engineers, machine learning researchers, and lab scientists to understand requirements and translate them into durable platform capabilities.
This is a role for engineers who care deeply about how data systems are designed. You will establish the architectural patterns and engineering standards the broader team builds on, mentor engineers across the data platform group, and make technical decisions that compound over time.
What You'll Be Building
  • Data Platform Architecture: Design and evolve the core data infrastructure that ingests, stores, and serves data across scientific and ML workflows. Make principled build-vs-buy decisions and establish architectural patterns adopted by the broader engineering organization.
  • Ingestion and Integration: Build reliable pipelines that bring in data from diverse sources: laboratory instruments, public scientific datasets, and external research literature. Own the interfaces between upstream producers and downstream consumers.
  • Orchestration and Reliability: Operate and extend workflow orchestration systems that run complex, multi-step scientific pipelines. Ensure observability, fault tolerance, and reproducibility across the data stack.
  • Data Modeling and Schema Strategy: Define and maintain data models, schema evolution practices, and data contracts that ensure consistency, discoverability, and long-term durability of scientific and platform data assets.
  • Cross-Functional Technical Leadership: Partner with ML researchers, lab scientists, and product engineers to translate scientific and research requirements into platform capabilities. Drive alignment on data standards and integration patterns across teams.
  • Engineering Standards and Mentorship: Establish coding, review, and design standards for the data platform team. Mentor engineers, lead design reviews, and raise the technical bar across the group.

What You'll Need to Succeed
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, and 8+ years as a software or data engineer with a focus on building and operating data infrastructure.
  • Designed and shipped data platform components from the ground up, including ingestion frameworks, storage abstractions, and orchestration systems. Fluent in Python and SQL and writes production-quality code.
  • Production experience with relational and NoSQL databases, schema design, query optimization, and operational concerns at scale. Comfortable working across structured, semi-structured, and unstructured data.
  • Proven track record of working cross-functionally with scientists, ML researchers, and engineers. Able to translate domain requirements into platform decisions and explain technical trade-offs to diverse audiences.
  • Experience with cloud infrastructure and containerized deployment (AWS, Kubernetes).
  • Hands-on experience with modern table formats and open lakehouse patterns (Iceberg, Delta Lake, Hudi).

Bonus Points For
  • Experience with workflow orchestration systems (Flyte, Airflow, Dagster, or similar).
  • Experience building data infrastructure that serves agentic and LLM-driven workflows, including vector databases, RAG infrastructure, and retrieval-optimized data access patterns.
  • Background in scientific computing, life sciences, or research software.
  • Proficiency with AI-assisted development tools (Cursor, Claude Code, or similar) and ability to incorporate them effectively into day-to-day engineering work.

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$192,000-$272,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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