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🔥 Orbital Analyst, UK

Posted about 11 hours ago

📍 United Kingdom

🧭 Full-Time

🔍 Space Surveillance and Tracking

🏢 Company: Slingshot Aerospace👥 101-250💰 $30,000,000 Debt Financing 9 months agoAerospace Analytics Simulation Software

🔧 Requirements

Bachelor's-level degree in Aerospace / Mechanical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Physics, Astronomy, related field, or equivalent experience
3+ years of relevant work experience
Demonstrated expertise in orbital dynamics and satellite operations
Effective written and verbal communication skills
Experience reading and writing code in Python or other scripting languages
Ability to travel up to 5% of the time

💡 Responsibilities

Provide analytical and orbital analysis support to our customers and support related training events
Collaborating with cross-functional teams in conducting feasibility assessments in relation to customer space object tracking needs
Engage with our customers and other stakeholders to shape requirements and ensure successful outcomes for their mission-critical needs
Exercise Slingshot’s software using real-time and historical data, and perform quality assurance on its outputs (e.g. calibration activities)
Support ongoing and future transitions of Slingshot’s products and services to the SGSN, space operations centers, and other technology testbeds
Develop software and shell scripts to help automate, monitor, and enhance data processing related to space operations
Contribute your expertise and ideas to help shape our products and strategies
Prepare technical reports and briefing materials
Perform other duties as assigned (to be less than 10% of the responsibilities listed above)
Execute all position responsibilities in alignment with Slingshot’s core values, mission, and purpose

Python SQL Algorithms Communication Skills Analytical Skills Scripting

Posted about 11 hours ago

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🔥 Senior Data Engineer

Posted about 11 hours ago

📍 Worldwide

🧭 Full-Time

🔍 Software Development

🏢 Company: Kit👥 11-50💰 over 1 year agoEducation Financial Services Apps

🔧 Requirements

Strong command of SQL, including DDL and DML.
Proficient in Python
Strong understanding of DBMS internals, including an appreciation for platform-specific nuances.
A willingness to work with Redshift and deeply understand its nuances.
Familiarity with our key tools (Redshift, Segment, dbt, github)
8+ years in data, with at least 3 years specializing in Data Engineering
Proven track record managing and optimizing OLAP clusters
Experience refactoring problematic data pipelines without disrupting business operations
History of implementing data quality frameworks and validation processes

💡 Responsibilities

Dive into our Redshift warehouse, dbt models, and workflows.
Evaluate the CRM data lifecycle, including source extraction, warehouse ingestion, transformation, and reverse ETL.
Refine and start implementing your design for source extraction and warehouse ingestion.
Complete the implementation of the CRM source extraction/ingestion project and use the learnings to refine your approach in preparation for other, similar initiatives including, but by no means limited to web traffic events and product usage logs.

Python SQL ETL Git Data engineering RDBMS Data modeling Data management

Posted about 11 hours ago

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🔥 iAgami - Python Fullstack Developer

Posted about 11 hours ago

📍 Pan India, IN

🧭 Full-Time

🔍 Software Development

🏢 Company: Nexthire

🔧 Requirements

Minimum 4 years of hands-on experience in full stack development.
Strong proficiency in Python, particularly Django and Pandas.
Solid experience with React for front-end development.
Excellent communication and interpersonal skills.
Ability to work independently and manage tasks in a remote environment.
Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

💡 Responsibilities

Design, develop, and maintain web applications using Python (Django, Pandas) and React.
Collaborate with cross-functional teams to define, design, and ship new features.
Write clean, scalable, and efficient code.
Debug and troubleshoot software issues in a timely manner.
Participate in code reviews and maintain coding standards.
Communicate effectively with team members and stakeholders.

Python SQL Django Full Stack Development Pandas React RESTful APIs

Posted about 11 hours ago

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🔥 Data Engineer | Senior | Threat Intelligence | Poland remote

Posted about 11 hours ago

📍 Poland

💸 22900.0 - 29900.0 PLN per month

🔍 Threat Intelligence

🔧 Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field.
2+ years of experience as a Data Engineer, working with large-scale distributed systems.
Proven expertise in Lakehouse architecture and Apache Hudi in production environments.
Experience with Airflow, Kafka, or streaming data pipelines.
Strong programming skills in Python and PySpark.
Comfortable working in a cloud-based environment (preferably AWS).

💡 Responsibilities

Design, build, and manage scalable data pipelines using Python, SQL, and PySpark.
Develop and maintain lakehouse architectures, with hands-on use of Apache Hudi for data versioning, upserts, and compaction.
Implement efficient ETL/ELT processes for both batch and real-time data ingestion.
Optimize data storage and query performance across large datasets (partitioning, indexing, compaction).
Ensure data quality, governance, and lineage, integrating validation and monitoring into pipelines.
Work with cloud-native services (preferably AWS – S3, Athena, EMR) to support modern data workflows.
Collaborate closely with data scientists, analysts, and platform engineers to deliver reliable data infrastructure

AWS Python SQL Cloud Computing ETL Kafka Airflow Data engineering CI/CD Terraform

Posted about 11 hours ago

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🔥 Senior Machine Learning Engineer

Posted about 12 hours ago

📍 United Kingdom, Latvia, Spain, Germany, Denmark, Poland, Portugal, Ireland

🔍 Software Development

🏢 Company: Lokalise👥 101-250💰 $50,000,000 Series B over 3 years agoInformation Services Developer APIs SaaS Information Technology Collaboration Translation Service Software Cloud Infrastructure

🔧 Requirements

4+ years of experience building and operating backend systems in production
Strong proficiency with Python, FastAPI, and Pydantic
Solid understanding of microservice architecture, scalable distributed systems, and observability, with familiarity using tools like OpenTelemetry, Grafana, or Datadog to monitor both general system health and LLM-specific metrics like latency, token usage, and model performance
Hands-on experience with prompt engineering in production
Familiarity with CI/CD, containerisation, and cloud deployment
Strong sense of ownership

💡 Responsibilities

Build and own LLM-powered back end services using FastAPI, Pydantic, etc. — ensuring they are scalable, observable, and easy to extend
Design infrastructure that enables rapid experimentation with LLMs, including A/B testing, feature flagging, and usage analytics
Integrate and maintain LLM observability tooling (e.g., LiteLLM, Langfuse) to monitor quality, cost, and performance of model calls
Collaborate with Data and ML Scientists to productionize workflows, share feedback, and continuously improve experimentation speed
Ensure systems are reliable and deployable with strong CI/CD practices, including instrumentation and alerting
Contribute to team culture through pairing, mentoring, and sharing learnings to help others grow
Stay connected to the product by understanding our users' needs, localization workflows, and broader industry trends

AWS Backend Development Docker Python SQL Cloud Computing Machine Learning API testing FastAPI Grafana REST API CI/CD Microservices

Posted about 12 hours ago

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🔥 Assistant Vice President, Developer

Posted about 12 hours ago

📍 United States of America

🧭 Full-Time

💸 190000.0 - 192000.0 USD per year

🔍 Software Development

🏢 Company: External_Career_Site_Barclays

🔧 Requirements

Experience with Java, Spring Boot, Vert.X, Kubernetes/Docker, React, and Python.

💡 Responsibilities

Design and develop exotics analytics price and strategic trade booking platform for Structured Notes, and contribute to the overall system design, architecture and development on risk platform, booking tools for exotic products and price streaming platforms.
Enhance systems to facilitate Regulatory requirements (FRTB IM/SSA, CCAR, Libor cessation).
Manage stakeholders by working directly with front office trading, operations and other business users to collect requirements and provide regular status updates and support.
Reduce technical debt by introducing and adopting best practices in software development and collaborating with the team to ensure consistent adoption of best practices and migrating off legacy technical stacks.
Compute cost optimizations by working on cost reduction initiatives to reduce grid compute costs by moving to efficient valuation models and distributing across HPC/AWS clusters.
Lead the migration of stochastic valuation models, moving away from Black Scholes to better capture volatility risk exposure.
Develop strategic UI interfaces using HTML5/React for trade booking/risk management platform.
Integrate with OpenFin platform, defining data taxonomies for Macro/Rates business and seamlessly interact with other applications (RFQ activity, internal margins, Credit exposures, Axes etc.) in the space.
Enhance the server-side stack, moving to microservices stack using Vert.X, SpringBoot. service discovery via Zookeeper, asynchronous messaging on Confluent Kafka and deployments using Kubernetes/Docker containers.
Work with Front Office traders to provide risk/trade/static/market data via APIs to support their development on Python Notebooks.

AWS Backend Development Docker Python Software Development SQL Apache Tomcat Bash Data Analysis Express.js Frontend Development HTML CSS Java Javascript JUNIT Kubernetes Machine Learning Oracle Oracle RDBMS React.js Software Architecture Spring Spring Boot Spring MVC UI Design Algorithms API testing Data Structures React CI/CD Agile methodologies RESTful APIs Microservices JSON Risk Management Debugging

Posted about 12 hours ago

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🔥 Senior Data Governance Engineer

Posted about 12 hours ago

📍 Brazil

🔍 Data Governance

🏢 Company: TELUS Digital Brazil

🔧 Requirements

At least 3 years of experience in Data Governance, Metadata Management, Data Cataloging, or Data Engineering.
Have actively participated in the design, implementation, and management of data governance frameworks and data catalogs.
Experience working with Colibra and a strong understanding of the Collibra Operating Model, workflows, domains, and policies.
Experience working with APIs.
Experience with a low-code/no-code ETL tool, such as Informatica
Experience working with databases and data modeling projects, as well as practical experience utilizing SQL
Effective English communication - able to explain technical and non-technical concepts to different audiences
Experience with a general-purpose programming language such as Python or Scala
Ability to work well in teams and interact effectively with others
Ability to work independently and manage multiple tasks simultaneously while meeting deadlines

💡 Responsibilities

Conduct detailed assessments of the customer’s data governance framework and current-state Collibra implementation
Translate business needs into functional specifications for Collibra use cases
Serve as a trusted advisor to the customer’s data governance leadership
Lead requirement-gathering sessions and workshops with business users and technical teams
Collaborate with cross-functional teams to ensure data quality and support data-driven decision-making to strive for greater functionality in our data systems
Collaborate with project managers and product owners to assist in prioritizing, estimating, and planning development tasks
Provide constructive feedback and share expertise with fellow team members, fostering mutual growth and learning
Demonstrate a commitment to accessibility and ensure that your work considers and positively impacts others

Python SQL ETL Data engineering RESTful APIs Data visualization Data modeling Data analytics Data management

Posted about 12 hours ago

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🔥 Health Data Analytics Engineer

Posted about 12 hours ago

📍 United States

🧭 Full-Time

💸 135000.0 - 170000.0 USD per year

🔍 Healthcare

🏢 Company: SmarterDx👥 101-250💰 $50,000,000 Series B about 1 year agoArtificial Intelligence (AI)Hospital Information Technology Health Care

🔧 Requirements

3+ years of analytics engineering experience in the healthcare industry, involving clinical and/or billing/claims data.
You are very well-versed in SQL and ETL processes, significant experience in dbt is a must
You have experience in a general purpose programming language (Python, Java, Scala, Ruby, etc.)
You have strong experience in data modeling and their implementation in production data pipelines.
You are comfortable with the essentials of data orchestration

💡 Responsibilities

Designing, developing, and maintaining dbt data models that support our healthcare analytics products.
Integrating and transforming customer data to conform to our data specifications and standards.
Collaborating with cross-functional teams to translate data and business requirements into effective data models.
Configuring and improving data pipelines that integrate and connect the data models.
Conducting QA and testing on data models to ensure data accuracy, reliability, and performance.
Applying industry standards and best practices around data modeling, testing, and data pipelining.
Participating in a rota with other engineers to help investigate and resolve data related issues.

AWS PostgreSQL Python SQL Apache Airflow ETL Snowflake Data engineering Data modeling Data analytics

Posted about 12 hours ago

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🔥 Staff, Software Engineer

Posted about 13 hours ago

📍 United States

🧭 Full-Time

💸 140000.0 - 180000.0 USD per year

🔍 Software Development

🏢 Company: Seeq👥 101-250💰 $50,000,000 Series D 10 months agoIndustrial Internet of Things Analytics Commercial Software

🔧 Requirements

10 years of professional experience in software development
Experience with cloud platforms and technologies, like AWS, Azure, or GCP
Demonstrate a strong understanding of software design principles, patterns, and best practices

💡 Responsibilities

Lead the design and development of complex software systems
Mentor and coach junior engineers, guiding them in best practices and helping them grow their skills
Be a technical leader, driving innovation and spearheading the implementation of new technologies and frameworks

AWS Backend Development Leadership Python Software Development Agile Cloud Computing Design Patterns Java Javascript SCRUM TypeScript C#Algorithms Data Structures REST API React Communication Skills Collaboration CI/CD Problem Solving Mentoring Attention to detail Software Engineering Data analytics Debugging

Posted about 13 hours ago

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🔥 Staff, Machine Learning Engineer

Posted about 13 hours ago

📍 Canada

🧭 Full-Time

💸 172800.0 - 216000.0 CAD per year

🔍 Software Development

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity almost 4 years ago🫂 Last layoff over 1 year agoMessaging SMS Mobile Apps Enterprise Software Software

🔧 Requirements

5+ years of applied ML engineering experience
Develop and Deploy AI Models: Build and deploy machine learning models leveraging NLP techniques and GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions

💡 Responsibilities

Develop and Deploy AI/ML Models: Build and deploy machine learning models by leveraging NLP, recommendation systems & Gen AI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sage maker, Lambda, S3, Kendra), MySQL, Air table, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zen desk to inform model development and enhance predictive accuracy.
Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative Gen AI use cases and solutions.

AWS Python SQL Keras Machine Learning MySQL Numpy Airflow Data science Pandas

Posted about 13 hours ago

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