data analyst

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data engineer ii

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data engineer buenos aires

4C Insights (part of Innovid by Mediaocean)

<div>
 Back to jobs
 
 
 Data Engineer
 
 
 Buenos Aires
 
 
 
 Innovid is the leading independent omnichannel ad tech platform, empowering marketers to create, deliver, measure, and optimize ad-supported experiences that people love. In 2025, Innovid and Flashtalking merged to create a transparent, scalable alternative to big-tech, walled-gardens, and point solutions across CTV, digital, linear, and social channels. As part of Mediaocean, Innovid is tied into the industry&rsquo;s core ad infrastructure for omnichannel planning, buying, and billing.
 
 
 
 
 &zwj;
 
 
 
 
 We are proud to lead the industry with our innovation, intelligence, and independence as the company best-suited to power the future of advertising.
 
 
 
 We're looking for a top-notch, passionate Data Engineer in Argentina with an interest in translating business goals into concrete solutions. The
 
 Data Engineer
 
 provides technology solutions by architecting and developing enterprise systems using a variety of programming languages, tools, and platforms. This can range from building data platforms, data warehouses and web applications, to implementing reporting platforms.
 
 
 
 The Impact You'll Make
 
 
 
 <ul>
 <li>
 Design, develop and maintain complex data pipelines and systems to process large volumes of data
 </li>
 <li>
 Collaborate with cross-functional teams to gather requirements, identify data sources, and ensure data quality
 </li>
 <li>
 Architect data solutions that are scalable, reliable, and secure, and meet business requirements
 </li>
 <li>
 Develop and maintain data models, ETL processes, and data integration strategies
 </li>
 <li>
 Design and implement data governance policies and procedures to ensure data accuracy, consistency, and security
 </li>
 <li>
 Create visualizations and reports to communicate insights to stakeholders across multiple data streams
 </li>
 <li>
 Collaborate as part of a team to drive analyses and insights that lead to more informed decisions and improved business performance
 </li>
 <li>
 Work with other teams to ensure teamwork and timely delivery of client projects
 
 
 </li>
 </ul>
 
 What You'll Bring To Us
 
 
 
 <ul>
 <li>
 +2 years of experience in a Data Engineering capacity
 </li>
 <li>
 Strong experience with SQL
 </li>
 <li>
 Experience designing, building, and maintaining ETL/ELT pipelines.
 </li>
 <li>
 Hands-on expertise with Apache Spark - is highly valued
 </li>
 <li>
 Experience working with dbt for data transformation, modeling and testing - is highly valued
 </li>
 <li>
 Experience working in the cloud environments (AWS, Azure, GCP)
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or a related discipline
 </li>
 <li>
 Advanced English (speaking, reading, writing, and listening)
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Understanding of Apache Iceberg or modern data lake technologies
 </li>
 <li>
 Experience with batch processing at scale
 </li>
 <li>
 Experience with any of Snowflake, Databricks, Redshift or BigQuery
 </li>
 <li>
 Workflow orchestration tools (Argo Workflows, Airflow, Dagster, or similar)
 </li>
 <li>
 Testing and data quality frameworks
 
 
 </li>
 </ul>
 
 What We'll Offer You
 
 
 
 <ul>
 <li>
 Unlimited Vacations
 </li>
 <li>
 Monthly Inflation updates
 </li>
 <li>
 Lunch Credit
 </li>
 <li>
 OSDE 410 as medical insurance
 </li>
 <li>
 English lessons
 </li>
 <li>
 Gym coverage
 </li>
 <li>
 Internet coverage
 </li>
 <li>
 1 extra paid month for primary &amp; secondary birthing caregivers
 </li>
 <li>
 Learning &amp; Development - Tools and Training
 </li>
 <li>
 Hybrid &amp; flexible working model - nice offices in Parque Chas with endless snacks &amp; beverages
 </li>
 <li>
 Pet friendly office
 </li>
 <li>
 High visibility roles with a tremendous amount of growth potential
 </li>
 <li>
 Global team and cross-company collaboration unlike anywhere else
 
 
 </li>
 </ul>
 There is no such thing as the perfect resume, or someone that checks every box. At Innovid, we are generous with our time and knowledge, and always ready to teach. So however you identify and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day and add to Innovid.
 
 
 Equal Opportunity Employer: Innovid is an equal opportunity employer, committed to our diversity and inclusiveness. We consider all qualified applicants regardless of race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply. We are actively working to be an anti-racist organization. We're committing to creating an inclusive and equitable workplace for all of our employees. You can read more about our commitment to DEI here.
 
 
 If you are located within the EEA and subject to GDPR or are a California resident subject to the California Consumer Privacy Act, click here to understand how Innovid processes your personal information and how you can exercise your rights.
 
 
 Create a Job Alert
 
 
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</div>

Data Engineer
Buenos Aires

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

Gambit Technologies

<div>
 
 
 Senior Data Engineer | NYC Hybrid (4 Days per-week Onsite)
 
 
 
 
 
 
 High-impact role. Real ownership. Build something that actually matters.
 
 
 We&rsquo;re partnering with a large, mission-driven organization tackling complex challenges across public impact initiatives. They&rsquo;re investing heavily in modernizing their data platform and are looking for a senior, hands-on engineer to lead the charge.
 
 
 This is not a maintenance role. You&rsquo;ll help define the future state.
 
 
 
 
 
 What You&rsquo;ll Be Doing
 
 
 You&rsquo;ll sit at the intersection of engineering and strategy, helping transition a legacy BI environment into a modern, cloud-native data platform.
 
 <ul>
 <li>
 Design and build a cloud-based data warehouse or lakehouse from the ground up
 </li>
 <li>
 Lead the migration from an on-prem SQL Server BI stack to scalable cloud architecture
 </li>
 <li>
 Build and optimize data pipelines that actually perform at scale
 </li>
 <li>
 Own data modeling, testing, observability, and CI/CD best practices
 </li>
 <li>
 Reduce technical debt and stabilize production systems during the transition
 </li>
 <li>
 Partner directly with business stakeholders to deliver meaningful insights
 </li>
 <li>
 Help define standards and mentor others on the team
 </li>
 </ul>
 
 Current Environment
 
 <ul>
 <li>
 SQL Server (data warehouse)
 </li>
 <li>
 Tableau (primary BI tool)
 </li>
 <li>
 Evolving toward modern cloud data platforms
 </li>
 </ul>
 
 What You Bring
 
 <ul>
 <li>
 Strong hands-on Tableau experience (non-negotiable)
 </li>
 <li>
 Deep SQL skills, including large-scale query optimization
 </li>
 <li>
 Proven experience with data modeling for analytics/reporting
 </li>
 <li>
 Experience working with business stakeholders, not just hiding behind code
 </li>
 <li>
 Ability to translate messy data into clear, actionable insights
 </li>
 </ul>
 
 
</div>

Senior Data Engineer

Millennium Management

<div>Data Engineer - Trading Technology Infrastructure
The Trading Technology Infrastructure team at Millennium is responsible for providing shared services to internal trading systems. We are seeking a Data Engineer to join our global development team in the buildout of our strategic real-time data platform. This platform is critical for ingesting, storing, enriching, and distributing high-quality reference data from multiple sources in real time to support the development of a global order management system and other core trading services. 
This role has a strong focus on reference data engineering and the application of AI-driven techniques to improve data quality, automation, monitoring, and operational efficiency. 
 
Key Responsibilities<ul><li>
Design, develop, and maintain scalable real-time and batch data pipelines for reference data ingestion, processing, and distribution.</li><li>
Build and enhance shared data services that support mastering, validation, enrichment, and delivery of critical trading reference data.</li><li>
Work closely with engineering teams and stakeholders to ensure seamless platform integration across trading systems.</li><li>
Deliver high-quality data solutions with quick turnaround times while adhering to best practices, governance standards, and production controls.</li><li>
Apply AI-enabled approaches to improve data validation, anomaly detection, metadata management, and support automation.</li><li>
Take ownership of tasks and proactively identify opportunities to improve the overall platform, development lifecycle, and infrastructure.</li></ul> 
Required Skills / Experience<ul><li>
Trading Domain Knowledge: Strong understanding of reference data management within the trading domain, especially user, instrument, and destination master data.</li><li>
Data Engineering Experience: 7+ years of professional experience building data management, integration, or data platform solutions in production environments.</li><li>
Programming: Strong hands-on development skills in Python and/or Java.</li><li>
Database Knowledge: Proficient in database concepts across SQL and NoSQL technologies, with a focus on data integrity, scalability, and performance.</li><li>
Data Structures &amp; Algorithms: Strong understanding of data structures and algorithms relevant to distributed data processing and reference data systems.</li><li>
Communication Skills: Strong communication skills for effective interaction with team members and stakeholders across technology teams.</li><li>
Ownership Mindset: Self-starter and critical thinker who takes ownership of projects and proactively suggests infrastructure and platform improvements.</li><li>
Continuous Delivery: Experience building and supporting systems using continuous integration and continuous deployment practices.</li></ul> 
Preferred Skills / Experience<ul><li>
Experience with real-time data platforms and event-driven architectures.</li><li>
Familiarity with AI/ML techniques for data quality monitoring, intelligent matching, anomaly detection, or workflow automation.</li><li>
Experience with PostgreSQL or other relational databases for data storage and retrieval.</li><li>
Familiarity with GraphQL for efficient data access and integration.</li><li>
Experience with AWS for cloud-based data solutions.</li><li>
Background in trading infrastructure, order management systems, or front-office data platforms.</li></ul>
Additional Information 
This role involves the full data lifecycle, from requirements and design through implementation, testing, and production release. The platform will support new business initiatives and help decommission legacy infrastructure. Strong collaboration skills are essential, as the role requires direct interaction with other technology teams across the Millennium organization. If you are a seasoned Data Engineer with experience in trading infrastructure, reference data, and modern AI-enabled data solutions, we encourage you to apply.
Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual&rsquo;s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</div>

Data Engineer - Trading Technology Infrastructure

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
 
 
 
 <ul>
 <li>
 Architect and implement systems that ingest and process large volumes of on-chain data
 </li>
 <li>
 Create intuitive dashboards and UI components used by a growing base of highly engaged users
 </li>
 <li>
 Design innovative database schemas to support tokenization of next-generation digital assets
 </li>
 <li>
 Build internal tooling and data pipelines leveraged by global institutional investors
 </li>
 <li>
 Work autonomously in a fast-moving, exploratory environment where speed and precision both matter
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 At least 2 years of hands-on experience writing production-grade code
 </li>
 <li>
 Proficiency in a modern backend language such as Python, Go, or similar
 </li>
 <li>
 Solid front-end development skills using TypeScript and React
 </li>
 <li>
 Understanding of relational database design and best practices
 </li>
 <li>
 High attention to detail, a builder&rsquo;s mindset, and a bias for shipping
 </li>
 <li>
 Ability to navigate ambiguity and operate independently with limited oversight
 
 
 </li>
 </ul>
 
 The Interview Loop
 
 
 
 <ul>
 <li>
 Chat with the CTO and co-founder about your past projects and how you think through technical challenges
 </li>
 <li>
 Choose between a live technical session or a take-home assessment
 </li>
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 Spend a half-day onsite for deeper technical and team-fit interviews
 </li>
 <li>
 Final step includes reference checks and standard background verification
 </li>
 </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>
 <li>
 Work with investment teams to find solutions to their most vexing challenges, applying agents to assist in solving problems
 </li>
 <li>
 Design, build, and integrate a multi-agent AI framework that can orchestrate deep research in and across vastly different subject matter and domain expertise
 </li>
 <li>
 Implement rigorous quantitative benchmarks for large scale agentic tasks
 </li>
 <li>
 Assist with automated evaluation of AI models and prompts across a wide variety of project and investment teams
 </li>
 <li>
 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
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 Experience developing complex agentic systems using LLMs with an emphasis on agentic harness design (e.g., communication architectures for agents)
 </li>
 <li>
 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
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 Have strong Python skills and can build robust infrastructure across the stack
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

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

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