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data engineer (remote / contract)

freelance data scraping engineer python

Alignerr

<div>
 
 About The Role
 
 
 
 What if your Python expertise could directly shape the infrastructure powering next-generation AI? We're looking for a Senior Python Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.
 
 
 This is a fully remote contract role working on real production systems &mdash; not toy projects. You'll be embedded alongside data, research, and engineering teams doing meaningful, high-visibility work at the frontier of AI development.
 
 
 <ul>
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 Organization: Alignerr
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 Type: Hourly Contract
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 Location: Remote
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 Commitment: 20&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows
 </li>
 <li>
 Develop full-stack tooling and backend services for data annotation, validation, and quality control
 </li>
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 Identify and fix bottlenecks, edge cases, and reliability issues across production Python codebases
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 Collaborate directly with data, research, and engineering teams to support model training and benchmarking
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 Participate in synchronous design reviews to iterate on architecture and implementation decisions
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 Improve performance, safety, and scalability across existing infrastructure
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Native or fluent English speaker with clear written and verbal communication skills
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 5+ years of professional experience writing production-grade Python for data engineering
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 Strong full-stack developer background with solid systems programming fundamentals
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 Proficient with workflow orchestration tools for managing complex dependency graphs
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 Experienced with dataframe processing libraries and cloud data warehouse SDKs
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 Able to commit reliably to 20&ndash;40 hours per week
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
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 Prior experience with data annotation, data quality pipelines, or evaluation systems
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 Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
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 Experience with distributed systems or developer tooling
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
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 Work on cutting-edge AI projects alongside leading research labs at the frontier of the field
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 Fully remote and flexible &mdash; work from wherever you do your best thinking
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 Freelance autonomy with the structure and consistency of meaningful, ongoing technical work
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 Make a direct, tangible impact on the systems that shape how AI models learn and improve
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 Potential for extended engagement and expanded scope as projects evolve
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 </ul>
</div>

Data Platform Engineer (Python)

mLabs

<div>Location: Remote - Must have a 6 hour overlap with EST
Remote | Full-time
Compensation: $80K - $175K
We are hiring on behalf of our client who is a technical infrastructure firm specializing in the delivery of massive-scale web data to organizations developing advanced artificial intelligence models. The organization supports high-capacity bandwidth-sharing networks and operates a distributed crawler capable of accessing high-quality public web data at a global scale. Additionally, the team has engineered sophisticated pipelines for the ingestion, segmentation, and annotation of billions of multimedia files, facilitating dataset creation for frontier research labs.
The organization operates as a lean, technical team that prioritizes speed and direct execution. As a Research Crawling Engineer, the successful candidate will design and operate large-scale web data acquisition systems. This role encompasses distributed systems, scraping infrastructure, and data pipelines, focusing on providing high-quality inputs for research and model development.
Key Responsibilities<ul><li>
Construct and maintain large-scale web crawlers across diverse domains.</li><li>
Design high-throughput, fault-tolerant systems for data collection, managing volumes ranging from millions to billions of URLs per day.</li><li>
Navigate anti-bot systems, rate limits, and dynamic, JavaScript-heavy websites.</li><li>
Develop robust pipelines for data cleaning, deduplication, filtering, and normalization.</li><li>
Build and maintain datasets specifically structured for research and machine learning model training.</li><li>
Monitor and optimize crawl performance, coverage, and data quality through rapid iteration.</li><li>
Collaborate with research teams to ensure data collection efforts align with modeling requirements.</li><li>
Optimize infrastructure to ensure cost-efficiency, low latency, and reliability.</li></ul> 

Requirements 
<ul><li>
Extensive programming experience in one or more of the following: Go, Rust, Python, Java, or C++.</li><li>
Proven experience in building web crawlers or large-scale data pipelines.</li><li>
Solid understanding of HTTP, networking protocols, and browser behavior.</li><li>
Familiarity with distributed systems and parallel processing techniques.</li><li>
Experience handling large datasets, ideally at the terabyte to petabyte scale.</li><li>
Demonstrated ability to debug and maintain systems within unstable or adversarial environments.</li></ul>
Preferred Qualifications:<ul><li>
Experience with NLP pipelines or dataset curation for machine learning.</li><li>
Familiarity with LLM pre-training data or retrieval systems.</li><li>
Practical experience with headless browsers (e.g., Playwright, Puppeteer, or Chrome DevTools Protocol).</li><li>
Knowledge of proxy systems, IP rotation, and large-scale request orchestration.</li><li>
Background in data quality evaluation or benchmarking.</li><li>
Experience running workloads on cloud or bare-metal infrastructure.</li></ul> 

Benefits 
<ul><li>
Impactful Opportunity: Contribute to the development of a web-scale crawler and knowledge graph at the forefront of AI data accessibility.</li><li>
High-Performance Culture: Join a lean, low-ego team that prioritizes high output and professional growth.</li><li>
Remote Work: This position is part of a fully remote team, offering flexibility and autonomy.</li><li>
Competitive Compensation: A package including a competitive salary, comprehensive benefits, and equity, commensurate with experience and the ability to operate at scale.</li></ul>
﻿
Interview Process<ul><li>
Recruiter Coordination Call</li><li>
Hiring Manager Interview</li><li>
Founder / CEO Interview</li><li>
Secondary Executive Interview</li><li>
Final Interview</li></ul> 
Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd&rsquo;s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.</div>

Research Crawling Engineer

Stott and May

<div>
 
 
 Data Scientist / Data Engineer (Ecommerce) Contract Opportunity
 
 
 
 
 
 
 
 Work:
 
 
 
 We&rsquo;re supporting an ecommerce client looking for a hybrid
 
 Data Scientist / Data Engineer
 
 contractor to help scale data products and drive insights across customer, product, and digital performance data.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
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 Build and maintain data pipelines supporting analytics and machine learning use cases
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 Develop models and analyses around customer behavior, recommendations, forecasting, and conversion optimization
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 Work with large-scale ecommerce data (clickstream, transactions, inventory, marketing)
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 Design and optimize datasets for reporting, experimentation, and predictive modeling
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 Partner with analytics, product, and engineering teams to productionize solutions
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 Support data quality, performance tuning, and scalable data architecture
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 </ul>
 
 
 Requirements:
 
 
 <ul>
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 Strong Python and SQL skills
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 Experience in both data engineering and data science / ML workflows
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 Background building pipelines with tools like Airflow, Spark, dbt, or similar
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 Experience with cloud platforms such as AWS, GCP, or Azure
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 Exposure to recommendation systems, forecasting, customer analytics, or experimentation (A/B testing) preferred
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 Ecommerce, retail, or marketplace data experience strongly preferred
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 </ul>
 
 
 Details:
 
 
 <ul>
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 Fully remote
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 40 hours/week (full-time
 
 contract
 
 )
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 Initial 6-month
 
 contract
 
 with likely extension
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 W2 or personal LLC only (
 
 no C2C
 
 )
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 Rates competitive and dependent on experience (target $80&ndash;$110/hr)
 </li>
 </ul>
 
 
</div>

Data Scientist

Objective Partners

<div>
 Role: Full-Stack Software Engineer &ndash; Blockchain &amp; Data Infrastructure
 
 
 We&rsquo;re working with a cutting-edge tech firm that's seeking a nimble, high-impact engineer to join a small and elite team building systems that sit at the intersection of finance, blockchain, and data visualization. This is a rare chance to touch every layer of the stack&mdash;backend services, frontend applications, data pipelines, and internal tools&mdash;all while leveraging the latest in AI-driven development.
 
 
 
 Your Mission
 
 
 
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 Architect and implement systems that ingest and process large volumes of on-chain data
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 Create intuitive dashboards and UI components used by a growing base of highly engaged users
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 Design innovative database schemas to support tokenization of next-generation digital assets
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 Build internal tooling and data pipelines leveraged by global institutional investors
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 Work autonomously in a fast-moving, exploratory environment where speed and precision both matter
 
 
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 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
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 At least 2 years of hands-on experience writing production-grade code
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 Proficiency in a modern backend language such as Python, Go, or similar
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 Solid front-end development skills using TypeScript and React
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 Understanding of relational database design and best practices
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 High attention to detail, a builder&rsquo;s mindset, and a bias for shipping
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 Ability to navigate ambiguity and operate independently with limited oversight
 
 
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 </ul>
 
 The Interview Loop
 
 
 
 <ul>
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 Chat with the CTO and co-founder about your past projects and how you think through technical challenges
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 Choose between a live technical session or a take-home assessment
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 Spend a half-day onsite for deeper technical and team-fit interviews
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 Final step includes reference checks and standard background verification
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 </ul>
</div>

Software Engineer

C2R Ventures

<div>
 
 Elite multi-strategy hedge fund manager that invests globally in a wide array of assets and strategies, is seeking an elite Agentic AI Research Engineer to play a key role in the ongoing development and enhancement of their investment process.
 
 
 
 
 
 Do not need financial experience to apply, but of course it is welcome. Candidates from AI research arms/divisions of notable bigtech companies and/or AI start-ups with elite VC backing are very welcome to apply.
 
 
 
 
 
 This Engineer will be embedded in investment teams to augment their investment process through designing and building multi-agent frameworks by developing deep understanding of each business and leveraging cutting-edge methods.
 
 
 
 
 
 This is a Full Stack role that will encompass the building of foundational infrastructure and developing robust data pipelines through agentic design.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
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 Work with investment teams to find solutions to their most vexing challenges, applying agents to assist in solving problems
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 Design, build, and integrate a multi-agent AI framework that can orchestrate deep research in and across vastly different subject matter and domain expertise
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 Implement rigorous quantitative benchmarks for large scale agentic tasks
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 Assist with automated evaluation of AI models and prompts across a wide variety of project and investment teams
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 Help create and optimize data mixes for model training that maximize agent performance or ease of use on agentic tasks
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 0&gt;1 builder who is comfortable with uncertainty, operates with high agency, and excels at rapid iteration and shipping
 </li>
 <li>
 Experience developing complex agentic systems using LLMs with an emphasis on agentic harness design (e.g., communication architectures for agents)
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 Successfully demonstrated the ability of taking a product from conception to completion
 </li>
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 Understanding of LLM-as-judge, reward hacking, specification gaming robustness problems
 </li>
 <li>
 Have strong Python skills and can build robust infrastructure across the stack
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

BBR Partners

<div>FIRM OVERVIEW

BBR Partners is a boutique wealth management firm providing customized investment strategies and bespoke advice to high-net-worth individuals and families. Our clients are comprised of the brightest minds in the financial and investing worlds, entrepreneurs, business owners, leaders, and influential families who entrust us with the holistic care of their fiscal well-being. The firm was founded in early 2000 and for over 25 years has nurtured our culture with talented people from diverse backgrounds who care about each other, our clients, and our collective communities. In our quest for continuous improvement, we strive to develop not only world class talent, but world class humans!

POSITION OVERVIEW

BBR Partners is seeking a Data Engineer to contribute to the build-out and ongoing maintenance of our modern data infrastructure, which supports investment, research, and operations capabilities across the firm. This role focuses on building well-tested, business-ready datasets in dbt and Snowflake, translating financial domain logic from legacy systems into clean, documented models that serve teams across the firm. The ideal candidate has a solid technical foundation, an eagerness to grow, and direct experience working with data in the securities, wealth management, or financial services industry.

RESPONSIBILITIES
<ul>
<li>Develop and maintain data models in dbt, implementing tests, documentation, and lineage tracking as standard practice.</li>
<li>Translate business logic from legacy SQL Server systems into clean, tested dbt models as part of ongoing platform modernization.</li>
<li>Build and optimize data pipelines that ingest, transform, and deliver investment, portfolio, and client data across the firm.</li>
<li>Build and optimize analytical datasets in Snowflake to support reporting and business intelligence.</li>
<li>Write and maintain Airflow DAGs, Python, SQL for scheduled and event-driven workflows, following CI/CD practices for deployment.</li>
<li>Collaborate across engineering, analytics, and business teams &ndash; integrating into a firm where everyone contributes beyond their lane.</li>
<li>Identify manual or fragile processes and build automated, sustainable replacements. Own problems end-to-end.</li>
<li>Implement monitoring and alerting (Datadog) to catch pipeline failures and data quality issues before they reach stakeholders.</li>
<li>Participate in code reviews and contribute to team engineering standards</li>
</ul>
QUALIFICATIONS
<ul><li>2-4+ years of experience in data engineering roles.</li>
<li>Required: Strong Python and SQL. Comfortable writing production code, not just notebooks.</li>
<li>Required: Experience with Snowflake or similar cloud warehouse. Working knowledge of SQL Server - able to read and reverse-engineer stored procedures, views, and legacy logic. Hands-on Airflow/Python ETL tooling preferred.</li>
<li>Required: Prior experience working with financial services data. Candidates must demonstrate meaningful exposure to relevant data domains such as securities identifiers (tickers, FIGI, CUSIPs, ISINs), client portfolios, positions and holdings, performance reporting, or fund operations. Experience at a wealth manager, asset manager, hedge fund, or market/alternative data provider strongly preferred.</li>
<li>Comfortable working autonomously with minimal direction. Proactive problem-solver who acts on gaps without waiting for assignment.</li>
<li>Experience with dimensional modeling and data warehouse design patterns.</li>
<li>Able to explain technical tradeoffs to non-technical stakeholders clearly and without jargon.</li>
<li>Preferred: Experience with the following technologies: dbt, Docker, Terraform, Azure, GitHub Actions, Datadog.</li>
</ul>
WHAT WE OFFER
<ul>
<li>Opportunity to collaborate with accomplished colleagues in an entrepreneurial and fast-paced environment.</li>
<li>Competitive base salary and incentive compensation.</li>
<li>Company subsidized health, dental and vision insurance for employee, partner, and dependents.</li>
<li>401K plan, Life insurance, and short &amp; long-term disability coverage.</li>
<li>One Medical membership (covered for employee and dependents), Employee assistance program (EAP), Gym reimbursement and other wellness offerings.</li>
<li>Pre-tax transit and parking programs, Health Savings Account (HSA) and flexible spending programs for medical and dependent care.</li>
<li>Personalized development and career opportunities.</li>
<li>Flexible time off, paid parental leave, and opportunity for Sabbatical with company tenure.</li>
<li>Hybrid remote work environment, &quot;Work from Anywhere&quot; weeks, and casual dress.</li>
<li>New office space with a variety of perks and amenities including catered lunches and stocked pantry.</li>
</ul>
ADDITIONAL INFORMATION 
Base salary for this position will be determined during the interview process and will vary based on multiple reasons, including but not limited to prior experience, relevant expertise, current business needs, and market factors. The expected base salary for the role will generally be between $110,000-$125,000 per year at the commencement of employment, but the final salary offered may be outside this range based on these reasons and individual circumstances. Additionally, base salary is only part of the total compensation package, which, depending on the position, may also include discretionary bonuses, alternative incentive packages and Company-sponsored benefit programs. This position is at-will, and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

We value and seek diversity of thought and equity of representation. The environment at BBR is inclusive of all, collaborative and endlessly curious. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div>

Data Engineer

Uber

<div>
 
 Employer:
 
 Uber Technologies, Inc.
 
 
 
 Job Title:
 
 Software Engineer
 
 
 
 Job Location:
 
 New York, New York
 
 
 
 Job Type:
 
 Full Time
 
 
 
 Rate of Pay:
 
 $150,000 to $166,000 per year
 
 
 You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .
 
 
 
 Duties:
 
 Design, develop, and test software applications. Design, develop, and/or test software applications using company technology stack. Apply technical knowledge to evaluate complex data, developments, and projects in order to provide recommendations to resolve technical issues. Support the company's business operations and improve engineering productivity. Build software components that can be integrated into a fully functional software system. Solve production issues in product and system reliability. May telecommute.
 
 
 Employer will accept a Bachelor's degree in Computer Science, Engineering (Any), Information Technology, Mathematics, Physics, or related field and one year of experience in the job offered or related occupation.
 
 
 
 Position Requires One Year In
 
 
 
 <ul>
 <li>
 C++, Python, Java, GIT, or SVN;
 </li>
 <li>
 SQL or MySQL;
 </li>
 <li>
 Data structures and algorithms development and functionality;
 </li>
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 Designing technology stacks;
 </li>
 <li>
 Debugging and monitoring for production services;
 </li>
 <li>
 Distributed systems;
 </li>
 <li>
 Software Development Lifecycle.
 </li>
 </ul>
</div>

Explore 1177+ Freelance data scraping engineer python in New York this May. Find roles across top companies and apply now to boost your career.

1177 freelance data scraping engineer python jobs In New York

Data Platform Engineer (Python)

Research Crawling Engineer

Data Scientist

Software Engineer

Artificial Intelligence Engineer

Data Engineer

Software Engineer