data analyst

data engineer

software engineer

data engineer ii

data scientist

data engineer remote contract

VERVE GROUP

<div>Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens.

As part of Verve, we've unified the company's demand-side offering, bringing together the largest on-site search intent dataset outside of walled gardens, direct SDK integrations with top apps, alongside data partnerships with 3M+ websites and LLMs. Our technology captures both what consumers do and why they do it, delivering high-fidelity audiences, insights, and activation across premium omnichannel inventory.

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This is a fully remote, 40-hour per week contract position with the opportunity to shape the future of advertising technology. This position is a contract role and can work remotely anywhere in the US or outside of the US. They should be willing and open to collaborate with our US based engineering team during their business hours.

Responsibilities include
<ul>
<li>Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients</li>
<li>Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities</li>
<li>Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients</li>
<li>Work with our Platform team to create monitoring which ensures data integrity</li>
<li>Experiment with new tech to find the right tool for the job</li>
<li>Use Kanban to manage multiple releases per week</li>
<li>Maintain high code quality through code reviews and automated tests</li>
</ul>
Here are a few indicators that you're the right person
<ul>
<li>You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks</li>
<li>You want to be part of a small team inside a large company with massive opportunity for growth</li>
<li>You enjoy collaboration with other teams including product, biz dev, and our in-house QA team</li>
<li>You eagerly dig into complex engineering problems</li>
</ul>
Preferred skills and experiences
<ul>
<li>2+ years of relevant work experience</li>
<li>You have built customer&ndash;facing dashboards and reports using data visualization tools like Holistics, Looker, or Tableau</li>
<li>You are comfortable writing SQL and manipulating large structured or unstructured datasets for analysis</li>
<li>You've designed schemas and optimized queries for a data warehouse like BigQuery or ClickHouse</li>
<li>You've built and maintained batch ETL/ELT jobs using an orchestration platform like Airflow, Temporal, or Dagster</li>
<li>Familiarity with Google Cloud or AWS big data products</li>
</ul>
Hourly Rate: $30-50/hour

We're open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords.

Communications regarding your application will only come from @jungroup.com or @verve.com email addresses.</div>

Data Engineer (Remote / Contract)

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

Data Scientist

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>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 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>
 <li>
 Identify and fix bottlenecks, edge cases, and reliability issues across production Python codebases
 </li>
 <li>
 Collaborate directly with data, research, and engineering teams to support model training and benchmarking
 </li>
 <li>
 Participate in synchronous design reviews to iterate on architecture and implementation decisions
 </li>
 <li>
 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
 </li>
 <li>
 5+ years of professional experience writing production-grade Python for data engineering
 </li>
 <li>
 Strong full-stack developer background with solid systems programming fundamentals
 </li>
 <li>
 Proficient with workflow orchestration tools for managing complex dependency graphs
 </li>
 <li>
 Experienced with dataframe processing libraries and cloud data warehouse SDKs
 </li>
 <li>
 Able to commit reliably to 20&ndash;40 hours per week
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Prior experience with data annotation, data quality pipelines, or evaluation systems
 </li>
 <li>
 Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
 </li>
 <li>
 Experience with distributed systems or developer tooling
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs at the frontier of the field
 </li>
 <li>
 Fully remote and flexible &mdash; work from wherever you do your best thinking
 </li>
 <li>
 Freelance autonomy with the structure and consistency of meaningful, ongoing technical work
 </li>
 <li>
 Make a direct, tangible impact on the systems that shape how AI models learn and improve
 </li>
 <li>
 Potential for extended engagement and expanded scope as projects evolve
 </li>
 </ul>
</div>

Data Platform Engineer (Python)

Humana

<div><h1 class="jobSectionHeader">Become a part of our caring community 
</h1>
The Lead Data Engineer is responsible for leading the modernization, optimization, and stabilization of the Wisconsin Medicaid Market's data platform ecosystem across two independent health plan technology stacks. This role owns the market's Data Warehouse and ODS, drives ETL/data movement strategy (including SSIS modernization), and improves the reliability, observability, and security posture of data pipelines supporting critical Medicaid operations. 
The Lead Data Engineer partners closely with the Market BI team as their IT counterpart to improve data access and flow, including establishing and managing Databricks pipeline patterns and platform enablement as the BI environment evolves.
The Lead Data Engineer owns and evolves the Wisconsin Medicaid Market's data stores and data movement ecosystem, including the Data Warehouse and ODS, and the ETL processes that connect vendor and internal systems. This role is accountable for modernizing and optimizing the market's data platform to improve reliability, reduce technical debt, strengthen observability/fault tolerance, and increase engineering efficiency in a complex dual-stack environment.
The Lead Data Engineer is also the Market BI team's primary IT partner for data platform enablement &mdash; improving data access patterns, strengthening pipeline governance, and helping establish a maintainable approach to Databricks pipelines and workflows as the market matures its analytics capabilities.
This is a Lead-level individual contributor role where work requires higher autonomy and complexity and includes directing the work of a small number of contract resources while remaining hands-on in delivery.
Team Culture &amp; Expectations
On the Wisconsin Medicaid Market IT team, how you show up is as important as what you accomplish. We value a positive attitude, curiosity, ownership, and a desire to learn and make a meaningful difference. This role requires collaboration, high accountability, and comfort operating in ambiguity while continuously improving data reliability, security, and outcomes for associates, members, providers, and other stakeholders.<h1 class="jobSectionHeader"> 
Use your skills to make an impact 

</h1>Skills &amp; Capabilities
The ideal candidate blends deep data engineering fundamentals with the ability to lead through influence &mdash; setting direction, improving reliability, and guiding others' work (including contract resources) while staying hands-on.
Required Skills<ul><li>
SQL, ETL/ELT &amp; Data Platform Depth - Proven production experience with SQL Server data engineering, including warehousing patterns, operational support, performance tuning, and ETL/ELT design. Strong experience with SSIS/SSRS and Azure Data Factory (or similar orchestration) in real operating environments.</li><li>
Integration &amp; Interoperability Tooling (WI Market Reality) - Experience working across integration engines and healthcare data movement patterns, including tools such as Rhapsody / CorePoint</li><li>
Modernization, Optimization &amp; Stabilization Mindset - Demonstrated ability to modernize and optimize fragile pipelines and legacy patterns, reduce technical debt, and improve reliability, observability, and fault tolerance.</li><li>
Databricks / UDAP Growth Path (directional, not gatekeeping) - Experience with Databricks and/or enterprise data platforms (e.g., UDAP), or strong aptitude and desire to grow into these platforms as part of market modernization and enterprise alignment.</li><li>
Execution Leadership - Highly organized, self-directed, and able to drive work to outcomes in an ambiguous, rapidly changing environment including planning, sequencing, and communicating progress/risk. Experience creating detailed technical documentation to gain buy-in and drive decisions. Team operates in SAFe Agile practices.</li><li>
Vendor / Contract Resource Direction - Ability to direct and review contract resource work (clarify requirements, establish standards, review deliverables, ensure maintainability).</li></ul>
Preferred Skills<ul><li>
Own the market's data stores (Data Warehouse + ODS) and ensure stability, security, and performance</li><li>
AI Integration</li><li>
Lead modernization and optimization of the ETL ecosystem, including SSIS modernization and improved reliability/observability</li><li>
Drive reduction of legacy report patterns and support transition aligned to enterprise SSRS footprint reduction efforts</li><li>
Partner with Market BI as their IT counterpart to improve data access and establish/manage Databricks pipeline patterns</li><li>
Define and enforce data engineering standards aligned with enterprise direction.</li><li>
Reduce technical debt and streamline workflows to lower operational burden on engineers and increase delivery capacity</li></ul>
Additional Information
Work-At-Home Requirements<ul><li>
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.</li><li>
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.</li><li>
Satellite and Wireless Internet service is NOT allowed for this role.</li><li>
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information</li></ul>
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. 

$142,300 - $195,700 per year 

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, &ldquo;Humana&rdquo;) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<h1 class="jobSectionHeader"> 
About us 
</h1>
About Inclusa: Inclusa manages the provision of a person-centered and community-focused approach to long-term care services and support to Family Care members across the state of Wisconsin. As a values-based organization devoted to building vibrant and inclusive communities, Inclusa deploys a unique approach to managed care with a trademarked model of support named Commonunity&reg; which focuses on the belief in everyone, and from that belief, the common good for all is achieved. In 2022, Inclusa was acquired by Humana. This partnership will allow us to create a model of care that provides industry-leading support for members across the health care continuum.
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health &ndash; delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. 
 
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.</div>

Lead Data Engineer – Modernization & Reliability

Rabona

Italian Speaking. Richiesta lingua italiana.We are a U.S.-based mobile telecommunications company with Italian ownership. As we expand our footprint in the MVNO (Mobile Virtual Network Operator) sector, we are seeking a skilled Backend / Data Engineer to support the development, integration, and evolution of our telecom data platforms and digital services.This role focuses on managing high-volume telecom data (CDR &ndash; Call Detail Records), backend services, and cloud infrastructure on Microsoft Azure. The ideal candidate is comfortable working with data pipelines, API integrations, and distributed systems in a telecom or similar data-intensive environment.Key Responsibilities:<ul><li>Manage ingestion, parsing, validation, and processing of telecom data (CDR) received via file-based systems (FTP/SFTP)</li><li>Design, develop, and maintain backend services and REST APIs for internal systems and customer-facing applications (MyArea)</li><li>Integrate telecom platforms, billing systems, and third-party services</li><li>Support and evolve systems hosted on Microsoft Azure, including data pipelines, storage, and processing services</li><li>Design and improve batch data processing pipelines, ensuring scalability, reliability, and data consistency</li><li>Identify and resolve issues such as data inconsistencies, duplicates, delays, and performance bottlenecks</li><li>Communicate technical updates, requirements, and progress in Italian when needed</li></ul>Requirements:<ul><li>Native or bilingual proficiency in Italian and professional fluency in English</li><li>Strong experience with backend development (.NET / C#)</li><li>Experience with REST API development and integrations</li><li>Experience with data pipelines and data processing systems</li><li>Experience with Microsoft Azure (or similar cloud platforms)</li><li>Experience working with high-volume data systems</li><li>Experience with file-based ingestion (FTP/SFTP, batch processing)</li><li>Ability to handle real-world data issues (duplicates, missing data, delays)</li><li>Understanding of distributed systems and data flows</li></ul>Preferred Qualifications:<ul><li>Experience in telecommunications or MVNO platforms</li><li>Experience with CDR or similar usage/event data</li><li>Experience with Azure DevOps or CI/CD pipelines</li><li>Familiarity with streaming technologies (Kafka, Event Hub)</li><li>Knowledge of data validation, reconciliation, and billing-related systems</li></ul>What We Offer:<ul><li>Work from any location with a flexible schedule</li><li>Direct impact on core telecom data systems and platform architecture</li><li>Long-term collaboration potential</li></ul>Legal Information:This is an Independent Contractor (1099) position. You will not be an employee of the company. As a contractor, you are responsible for your own taxes, insurance, and equipment.How to Apply:Please submit your Resume/CV highlighting your experience with backend systems, data pipelines, and cloud infrastructure.Job Type: ContractPay: $800.00 - $1,000.00 per monthWork Location: Remote

Backend / Data Engineer – MVNO Telecom (Azure, Italian Speaking) – Remote (1099 Contractor)

Call For Referral

<div>
 
 
 About The Role
 
 
 
 This role focuses on building and deploying applications within advanced AI training environments. Work involves integrating real-world software into sandbox systems, ensuring stability, scalability, and production readiness across use cases.
 
 
 
 Position:
 
 Software Engineer
 
 
 
 Type:
 
 Hourly Contract
 
 
 
 Compensation:
 
 $40&ndash;$50/hour
 
 
 
 Location:
 
 Remote Global | Part-time
 
 
 
 Role Responsibilities
 
 
 <ul>
 <li>
 Build MCP servers in Python using FastMCP
 </li>
 <li>
 Integrate web or desktop applications into AI training environments
 </li>
 <li>
 Work with APIs, Docker, Linux systems, and service configurations
 </li>
 <li>
 Implement populate and snapshot hooks for application state management
 </li>
 <li>
 Test applications locally and debug build, runtime, and permission issues
 </li>
 <li>
 Ensure applications meet validation and deployment standards
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 Must-Have:
 
 
 <ul>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 Experience with APIs, backend systems, and debugging
 </li>
 <li>
 Familiarity with Docker, Linux, and local development workflows
 </li>
 <li>
 Ability to work with configuration files and deployment pipelines
 </li>
 <li>
 Strong problem-solving skills and attention to technical detail
 </li>
 </ul>
 
 
 Nice-to-Have
 
 
 <ul>
 <li>
 Experience with FastMCP or similar frameworks
 </li>
 <li>
 Experience integrating third-party applications or developer tools
 </li>
 <li>
 Familiarity with web applications, databases, and containerized environments
 </li>
 </ul>
 
 
 Application &amp; Onboarding Process
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview: A short, 15-minute conversational session to assess background and experience
 </li>
 <li>
 Follow-up communication with next steps and onboarding details
 </li>
 </ul>
 
 
</div>

AI Engineer – Remote | $40 –$50/hr

YO IT Consulting

<div>
 
 Location:
 
 Remote (Global)
 
 
 
 Job Overview
 
 
 
 We are looking for an AI Trainer to help improve and evaluate AI models by providing high-quality data, feedback, and domain-specific insights. This role involves working closely with AI systems to train, test, and refine their responses across various tasks such as language, reasoning, coding, or domain-specific knowledge.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Train AI models by creating, reviewing, and refining prompts and responses
 </li>
 <li>
 Evaluate AI outputs for accuracy, relevance, and quality
 </li>
 <li>
 Perform data annotation, labeling, and categorization tasks
 </li>
 <li>
 Provide feedback to improve model performance and reduce errors
 </li>
 <li>
 Follow project guidelines and maintain high-quality standards
 </li>
 <li>
 Document findings and contribute to continuous improvement of AI systems
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or relevant experience (CS, Engineering, Linguistics, Math, etc.)
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Attention to detail and ability to follow guidelines
 </li>
 <li>
 Comfortable working with tools, spreadsheets, and AI platforms
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience in AI training, data annotation, or content evaluation
 </li>
 <li>
 Knowledge of LLMs (Large Language Models) and prompt engineering
 </li>
 <li>
 Domain expertise (e.g., coding, mathematics, language, finance, etc.)
 </li>
 <li>
 Familiarity with tools like Excel/Google Sheets
 
 
 </li>
 </ul>
 
 Compensation &amp; Work Setup
 
 
 
 <ul>
 <li>
 Remote / Freelance / Contract-based roles available
 </li>
 <li>
 Flexible working hours
 </li>
 <li>
 Performance-based incentives (depending on project)
 </li>
 </ul>
</div>

Ai Trainer / Ai Data Trainer - Remote

Explore 1374+ Data engineer remote contract in New York this May. Find roles across top companies and apply now to boost your career.