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Data engineering

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🔥 Senior Machine Learning Engineer

Posted about 2 hours ago

📍 Brazil, the U.S., and Canada

🧭 Full-Time

🔍 Payments

🔧 Requirements

Bachelor’s or Master’s degree in CS/Engineering/Data-Science or other technical disciplines.
Solid experience in DS/ML engineering.
Proficiency in programming languages such as Python, Scala, or Java.
Hands-on experience in implementing batch and real-time streaming pipelines, using SQL and NoSQL database solutions
Familiarity with monitoring tools for data pipelines, streaming systems, and model performance.
Experience in AWS cloud services (Sagemaker, EC2, EMR, ECS/EKS, RDS, etc.).
Experience with CI/CD pipelines, infrastructure-as-code tools (e.g., Terraform, CloudFormation), and MLOps platforms like MLflow.
Experience with Machine Learning modeling, notably tree-based and boosting models supervised learning for imbalanced target scenarios.
Experience with Online Inference, APIs, and services that respond under tight time constraints.
Proficiency in English.

💡 Responsibilities

Design the data-architecture flow for the efficient implementation of real-time model endpoints and/or batch solutions.
Engineer domain-specific features that can enhance model performance and robustness.
Build pipelines to deploy machine learning models in production with a focus on scalability and efficiency, and participate in and enforce the release management process for models and rules.
Implement systems to monitor model performance, endpoints/feature health, and other business metrics; Create model-retraining pipelines to boost performance, based on monitoring metrics; Model recalibration.
Design and implement scalable architectures to support real-time/batch solutions; Optimize algorithms and workflows for latency, throughput, and resource efficiency; Ensure systems adhere to company standards for reliability and security.
Conduct research and prototypes to explore novel approaches in ML engineering for addressing emerging risk/fraud patterns.
Partner with fraud analysts, risk managers, and product teams to translate business requirements into ML solutions.

AWS Backend Development Docker Python SQL Amazon RDS AWS EKS Frontend Development Java Kafka Kubernetes Machine Learning MLFlow Airflow Algorithms Data engineering Data science REST API Nosql Pandas Spark CI/CD Terraform Scala Data modeling English communication

Posted about 2 hours ago

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🔥 Senior Data Pipeline Engineer (ETL)

Posted about 2 hours ago

📍 Armenia

🏢 Company: Globaldev Group👥 251-500💰 Seed about 4 years agoDevOps Information Technology Software

🔧 Requirements

5+ years of experience as Data Engineer
Strong SQL/NoSQL skills.
Experience with data pipeline tools and technologies.
Knowledge of data warehousing concepts.

💡 Responsibilities

Manage data infrastructure and pipelines.
Designing and maintaining data pipelines.
Data extraction, transformation, and loading (ETL).
Database management (SQL/NoSQL).
Ensure data integrity.

SQL Apache Airflow ETL Data engineering Nosql

Posted about 2 hours ago

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🔥 Marketing Operations Manager

Posted about 2 hours ago

📍 United States

🧭 Full-Time

💸 105000.0 - 145000.0 USD per year

🔍 Democracy Reform

🏢 Company: GoodParty.org

🔧 Requirements

5+ years of experience in marketing operations, analytics, or revenue operations.
Expert in HubSpot with experience managing marketing automation tools.
Deep understanding of the most useful AI tools and a proven track record of leveraging them.
Strong analytical skills with experience tracking, analyzing, and interpreting marketing data.
Experience with lead scoring and attribution modeling, either from configuring a CRM from scratch or significantly improving an existing system.
Experience building dashboards with business intelligence tools (Tableau preferred, Power BI, Looker).
Strong attention to detail when building marketing automation, with experience documenting workflows and an intuitive understanding of system integration.
Excellent communication and collaboration skills, with the ability to work cross-functionally with Marketing, Sales, and Data Engineering.

💡 Responsibilities

Elevate our marketing reporting by building top-tier systems to track campaign performance and funnel health with precision.
Manage and maintain our HubSpot instance, serving as the primary owner of all marketing automation needs and data requests.
Analyze funnel performance to identify growth opportunities and areas where users encounter friction, ensuring strategic improvements.
Collaborate with our Data Engineers to establish and maintain reliable data pipelines across the company, enabling accurate and scalable reporting.
Build and maintain dashboards in Tableau to provide real-time visibility into marketing and sales performance.
Develop predictive lead scoring, qualification logic, and conditional list building to ensure sales focuses on the highest-opportunity leads.
Create and segment audiences for paid campaigns and direct outreach to candidates.
Continuously test and refine processes to improve scalability and effectiveness in marketing operations.
Collaborate on a fast, results-driven team.
Report to Director of Growth.

SQL Business Intelligence Data Analysis Google Analytics Tableau Data engineering Communication Skills Analytical Skills Collaboration Reporting Data visualization Marketing Lead Generation CRM Data modeling Data analytics Customer Success A/B testing

Posted about 2 hours ago

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🔥 Software Engineer - Platform (Experienced)

Posted about 4 hours ago

📍 United States

🧭 Full-Time

💸 190000.0 - 230000.0 USD per year

🔍 Software Development

🏢 Company: Dagster Labs👥 11-50💰 $33,000,000 Series B almost 2 years agoCloud Data Services Big Data Software

🔧 Requirements

5+ years of relevant software development experience
Expertise in the full software development lifecycle, from scoping and planning to delivery and iteration
Strong command of software system design, including scalability, third party integrations, and API design
Fluent in Python
Strong written and oral communication skills
Experience in a high-functioning engineering organization working on large-scale distributed systems or B2B SaaS applications
Proven effectiveness at contributing to and executing as part of a team
Experience with using or supporting tools in the Modern Data Stack
Experience building and scaling services built on Amazon Web Services, Kubernetes & Postgres

💡 Responsibilities

Develop and optimize core backend systems and infrastructure components.
Enhance efficiency, scalability, and stability of critical system resources through analysis and refinement.
Partner with cross-functional teams to align on product development needs and deliver impactful solutions.
Review designs and code to maintain high standards of quality and performance across the team.

AWS Backend Development Leadership PostgreSQL Python Software Development SQL Full Stack Development Kubernetes Software Architecture Algorithms API testing Data engineering Data Structures REST API Communication Skills Collaboration CI/CD Agile methodologies RESTful APIs Written communication Teamwork Data modeling Software Engineering

Posted about 4 hours ago

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🔥 Healthcare Data Analytics Manager (Mexico - Remote)

Posted about 5 hours ago

📍 Mexico

🔍 Healthcare

🏢 Company: FlexTal Staffing LLC

🔧 Requirements

Minimum of 5-8 years direct experience with 3+ years of management experience.
Working knowledge of Microsoft SQL
ETL development and management
Strong statistical knowledge for interpreting clinical and operational data
Strong knowledge of Microsoft Outlook and other Office applications, especially Excel and PowerPoint
Point Click Care, Python/R & PowerBI experience
Experience in healthcare, insurance, or senior living industries

💡 Responsibilities

Oversee the collection, cleaning, and storage of healthcare data from various sources (electronic health records, billing systems, patient surveys, etc.).
Ensure compliance with regulations such as HIPAA (Health Insurance Portability and Accountability Act) to maintain patient privacy.
Integrate data from disparate sources (clinical, financial, and operational) to create comprehensive datasets that can inform decision-making.
Work on transforming raw data into a structured format that can be analyzed (using tools like SQL, Python, or ETL processes).
Use statistical methods and data analytics tools (like Python, R, Excel, or Power BI) to analyze data and extract meaningful insights.
Develop and automate dashboards and reports to monitor key performance indicators (KPIs) related to patient care, hospital performance, and operational efficiency.
Leverage machine learning and predictive models to forecast patient outcomes, readmission rates, or operational bottlenecks.
Use historical data to identify trends and patterns that can help improve clinical and administrative decision-making.

Python SQL Data Analysis ETL Machine Learning Microsoft Power BI Microsoft SQL Server Data engineering Microsoft Excel Agile methodologies Data visualization Data modeling Data analytics Data management

Posted about 5 hours ago

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🔥 Customer Success Engineer- SLED

Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 91200.0 - 155000.0 USD per year

🔍 Software Development

🏢 Company: Cribl👥 251-500💰 $150,000,000 Series D almost 3 years agoReal Time Big Data Information Technology Software

🔧 Requirements

Minimum of 5 years in a related function with direct customer advocacy and engagement experience in post-sales with passion for customer success and empathy for customer outcomes and value
Technical experience within the State, Local, or Education space.
A customers-first mindset with great communication and relationship management skills that can manage customer expectations through being empathetic and listening to our customers
Proven track record and experience working with large complex enterprises and developing relationships in a high growth environment
Experience with Observability, Logs, Metrics, IT Operations and Security with a deep understanding of managing data pipelines through the entire data lifecycle
Proven ability to drive continuous product value by developing new use-cases relating to reducing, reusing, enriching, and routing data to achieve customer outcomes
Quick learner with good technical and problem-solving skills
Willingness to travel as needed

💡 Responsibilities

Act as a trusted/strategic advisor for customers, driving the entire Customer Success lifecycle from onboarding to expansion
Become the trusted Cribl product expert as customers build out observability pipelines to transform data in their organization
Establish and maintain relationships with stakeholders and senior management to drive success plans and KPIs at our largest customers
Communicate effectively to our tech touch customers utilizing our customer success platform to automate our ability to respond using data-driven metrics
Drive continued and expanded value by expanding usage of existing use cases and identifying new use cases, teams and data sources to reduce, enrich, and route data
Clear, effective communicator and collaborator working cross-functionally with the Cribl sales, marketing, product, experience, and engineering teams as the voice of the customer
Keep our customers healthy in their customer journey with Cribl to realize value with their purchase and continue to grow as a customer
Continually inspire, mentor, and coach team members as an integral piece of the Customer Experience organization
This position may require stand-by, on-call, or off-hours duties.

Cloud Computing Data Analysis Data engineering Communication Skills Customer service Troubleshooting Relationship management Technical support Customer Success

Posted about 7 hours ago

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🔥 Data Scientist

Posted about 7 hours ago

📍 South Africa

🔍 Finance & Technology

🏢 Company: Employee Referrals

🔧 Requirements

A bachelor's degree with a strong quantitative component (e.g. Economics, Physics, Engineering, Software engineering, etc.).
Minimum 3-5 years of experience filling a similar role in Finance & Technology.
Strong data wrangling skills using SQL and coding in python.
Strong interest in software development.
An ability to interpret problems, and simplify them to their essentials.
The desire to innovate, be creative and work on challenging problems.
Experience using software development practices like git, CI/CD, etc.

💡 Responsibilities

Analyse, transform, augment and build datasets to convert financial and behavioural data into features and dimensions that allow us to more easily and accurately extract insights.
Use your coding skills to contribute to our team tooling and automate processes as much as possible.
Design and develop models of our real world systems and client behaviours to help inform our decision making. This includes, but is not limited to, forecasting, simulating products or systems, testing decline strategies, and optimising client experience.
Analyse end user requirements to understand and communicate what our stakeholders (for example, fellow analysts, portfolio managers, or partners) need, and what we can deliver to match those expectations.
Derive and communicate insights to our stakeholders.

Python SQL Data Analysis Git Machine Learning Data engineering Data science REST API Analytical Skills CI/CD Data visualization Financial analysis Data modeling

Posted about 7 hours ago

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🔥 Lead Product Manager - Data Lakes

Posted about 9 hours ago

📍 United States

🧭 Full-Time

💸 203280.0 - 254100.0 USD per year

🔍 Data Integration

🏢 Company: Fivetran

🔧 Requirements

6+ years of experience managing data integration, data analytics, or data engineering products
Deep knowledge of and recent experience working with modern data lake technologies such as Apache Iceberg and Delta Lake and their associated ecosystems
Experience in databases (Oracle, SQL Server, PostgreSQL, etc.), data movement (real-time replication or ETL/ELT), multiple clouds (AWS, Azure, Google, Alibaba), cloud analytics destinations (Snowflake, Databricks, RDS, Synapse, BigQuery, etc.), SQL and API technologies
Track record of shipping products that deliver measurable results

💡 Responsibilities

Build and manage the strategic managed data lake product roadmap; set quarterly goals and track deliverables and results
Prioritize major initiatives to improve the performance & capabilities of your portfolio
Perform in-depth data analysis and customer research to identify areas of opportunity for improvements
Collaborate closely with engineering, design, product marketing and sales to drive adoption of your portfolio
Evangelize the success of your initiatives both internally and externally

AWS SQL Cloud Computing Data Analysis Product Management Snowflake Azure Data engineering RESTful APIs Data management

Posted about 9 hours ago

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🔥 Senior Data Engineer | Data Delivery

Posted about 12 hours ago

📍 Germany, Italy, Netherlands, Portugal, Romania, Spain, UK

🧭 Full-Time

🔍 Wellness

🔧 Requirements

You have a proven track record of designing and building robust, scalable, and maintainable data models and corresponding pipelines from business requirements.
You are skilled at engaging with engineering and product teams to elicit requirements.
You are comfortable with big data concepts, ensuring data is efficiently ingested, processed, and made available for data scientists, business analysts, and product teams.
You are experienced in maintaining data consistency across the entire data ecosystem.
You have experience maintaining and debugging data pipelines in production environments with high criticality, ensuring reliability and performance.

💡 Responsibilities

Develop and maintain efficient and scalable data models and structures to support analytical workloads.
Design, develop, and maintain data pipelines that transform and process large volumes of data while embedding business context and semantics.
Implement automated data quality checks to ensure consistency, accuracy, and reliability of data.
Ensure correct adoption and usage of Wellhub’s data by data practitioners across the company
Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

SQL Apache Airflow Kubernetes Apache Kafka Data engineering Spark Data modeling

Posted about 12 hours ago

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🔥 Expression of Interest (Technology Roles)

Posted about 13 hours ago

📍 Philippines

🔍 FinTech

🔧 Requirements

Open to candidates with relevant experience in Software Engineering, Data Engineering, Data Analysis, and other technology fields.

💡 Responsibilities

The job posting is an expression of interest for various technology roles within the company.

Backend Development Software Development Data Analysis Frontend Development Data engineering Software Engineering

Posted about 13 hours ago

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