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Data engineering

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🔥 Data Engineer (Remote only in US)

Posted about 4 hours ago

📍 United States

💸 64000.0 - 120000.0 USD per year

🔧 Requirements

Strong PL/SQL, SQL development skills
Proficient in multiple languages used in data engineering such as Python, Java
Minimum 3-5 years of experience in Data engineering working with Oracle and MS SQL
Experience with data warehousing concepts and technologies including cloud-based services (e.g. Snowflake)
Experience with cloud platforms like Azure and knowledge of infrastructure
Experience with data orchestration tools (e.g. Azure Data Factory, DataBricks workflows)
Understanding of data privacy regulations and best practices
Experience working with remote teams
Experience working on a team with a CI/CD process
Familiarity using tools like Git, Jira
Bachelor's degree in Computer Science or Computer Engineering

💡 Responsibilities

Design, implement and maintain scalable pipelines and architecture to collect, process, and store data from various sources.
Unit test and document solutions that meet product quality standards prior to release to QA.
Identify and resolve performance bottlenecks in pipelines due to data, queries and processing workflows to ensure efficient and timely data delivery.
Implement data quality checks and validations processes to ensure accuracy, completeness and consistency of data delivery.
Work with Data Architect and implement best practices for data governance, quality and security.
Collaborate with cross-functional teams to identify and address data needs.
Ensure technology solutions support the needs of the customer and/or organization.
Define and document technical requirements.

Python SQL ETL Git Java Oracle Snowflake Azure Data engineering CI/CD RESTful APIs

Posted about 4 hours ago

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🔥 Senior Growth Engineer

Posted about 5 hours ago

📍 United States

🧭 Full-Time

💸 140000.0 - 160000.0 USD per year

🔍 Email Security

🏢 Company: Valimail

🔧 Requirements

4+ years of experience with Python, SQL, or similar languages, with hands-on experience in automation and data flow management in platforms like Snowflake, Segment, Zapier, and Planhat.
2+ years in an operations role supporting Sales, Marketing, Customer Success, or Finance, with a demonstrated ability to align data operations with strategic business goals.
Required proficiency in Snowflake, Segment (or other CDP solutions), and BI tools (e.g., Sigma, PowerBI).
Familiarity with Zapier, Planhat (or similar tools such as Gainsight or ChurnZero), Salesforce, and Atlassian are a plus.

💡 Responsibilities

Oversee and optimize data flow across core platforms, including Snowflake, Sigma, Segment, Salesforce, and Planhat, ensuring seamless integration and reliable data access for cross-functional teams.
Build strong, collaborative relationships with Marketing, Sales, Finance, Product, and Engineering, facilitating data-driven insights and project alignment across departments.
Analyze customer data to derive insights that inform strategic decision-making, delivering actionable reports that support growth objectives.
Spearhead automation and optimization projects, implementing solutions that improve data flow and system efficiency.
Lead key cross-functional initiatives, ensuring smooth execution and alignment across multiple departments.
Provide valuable insights and recommendations to leadership, aligning data-driven findings with broader business objectives.
Tackle a wide range of tasks, from technical troubleshooting to strategic planning and cross-departmental collaboration.

Project Management Python SQL Business Intelligence Data Analysis ETL Salesforce Snowflake Operations Management API testing Data engineering REST API Communication Skills Analytical Skills CI/CD Problem Solving DevOps Cross-functional collaboration Data visualization Strategic thinking Data modeling Data management

Posted about 5 hours ago

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🔥 Data & AI Engineer (Frankfurt, Germany)

Posted about 8 hours ago

📍 Germany

🔍 AI and data analytics consulting

🏢 Company: Unit8 SA

🔧 Requirements

MSc level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics, or equivalent work experience.
Proficient software engineer who has experience in applying a blend of software engineering, machine learning, and statistical methods to solve real-world business problems
Proficient in one of the following languages: Python, Scala, Java.
Experience with cloud technologies is a strong plus.

💡 Responsibilities

Work with our customers to understand their challenges, design and implement solutions.
Closely collaborate with other data scientists, software engineers and business stakeholders.
Evaluate, compare and present results to technical and non-technical audience.
Contribute to the implementation and engineering of systems at different scales: from small proof-of-concepts to larger end-to-end data systems.
Implement best practices in CI/CD

AWS Docker Python SQL Cloud Computing Data Analysis ETL Java Kubernetes Machine Learning Algorithms Data engineering Data science Spark CI/CD RESTful APIs Scala Software Engineering

Posted about 8 hours ago

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🔥 Senior Software Engineer, AI

Posted about 9 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

5+ years of engineering experience
Excitement for product-focused application of ML/AI - this will be a production-focused role
Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript
Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning
Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications
Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification
Experience in developing, testing, evaluating and deploying ML models
Ability to collaborate on all aspects of product strategy and UX
Experience shaping an early stage tech stack and product, and engineering organization

💡 Responsibilities

Be an essential technical contributor at a Series B company as it scales.
Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches.
Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time.
Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor.

AWS Backend Development GraphQL PostgreSQL Python SQL Artificial Intelligence Cloud Computing Data Analysis Data Mining Full Stack Development Git Keras Machine Learning Numpy PyTorch React.js Software Architecture TypeScript Data engineering REST API Pandas React Tensorflow CI/CD DevOps NodeJS Software Engineering

Posted about 9 hours ago

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🔥 Senior Data Analyst

Posted about 10 hours ago

📍 Ireland, United States (AZ, CA, CO, CT, FL, GA, IL, IN, IA, KS, MA, MI, MN, MO, NE, NJ, NY, NC, PA, SD, TN, TX, UT, WA, WI)

🔍 Data Analysis

🏢 Company: Sojern👥 501-1000💰 $9,842,000 over 1 year ago🫂 Last layoff over 1 year agoDigital Marketing Advertising Platforms SaaS Travel

🔧 Requirements

3+ years of experience in a data-driven role, preferably in analytics, data engineering, or business intelligence.
Strong proficiency in SQL (writing complex queries, working with relational databases).
Exposure to building ETL pipelines
Familiarity with BI tools (Tableau, Power BI, Looker, etc.) and the ability to create meaningful data visualizations.
Ability to work in a fast-paced environment, manage multiple priorities, and communicate insights effectively to both technical and non-technical stakeholders.

💡 Responsibilities

Work closely with Sales, Finance, Product, and Marketing teams to understand business needs and translate them into data solutions.
Analyze large datasets to identify trends, performance metrics, and actionable insights that support strategic business initiatives.
Develop detailed reports and dashboards using Tableau to help stakeholders make data-driven decisions.
Collaborate with data scientists and operations analysts to support testing and analysis on campaigns.
Build, optimize, and maintain ETL pipelines to process and transform raw data into structured, meaningful datasets.
Work with SQL, Python, and BigQuery to extract, clean, and manipulate data from multiple sources.
Ensure data quality, integrity, and consistency across different data sources.

Python SQL Apache Airflow Business Intelligence Data Analysis ETL Jenkins Tableau Algorithms Data engineering Data Structures REST API Reporting Data entry Data visualization Data modeling Data analytics Data management

Posted about 10 hours ago

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🔥 Sr. Principal Cyber Metrics & Reporting Engineer - Remote US

Posted about 14 hours ago

📍 United States

🔍 Life Science

🔧 Requirements

Minimum Bachelor's degree in Cybersecurity, Data analytics, Information Systems, or a related field.
A minimum of 8 years of demonstrable experience in cyber metrics and reporting, business analytics, requirements analysis, forecasting, industry research, planning, and/or management consulting required to enable data storytelling to enable visualization
Experience in SQL data modeling, SQL query development and understanding of ETL is required.
Understanding of designing and developing cybersecurity dashboards using tools like Tableau, Power BI, or similar.
Strong experience with requirements analysis and testing
Awareness of relevant industry trends and standard processes in cybersecurity metrics and reporting.
Ability to collect, analyze, and interpret large datasets to derive relevant insights and trends.
Ability to effectively collect and communicate complex information to customers.
Proactive and self-motivated approach to work, with excellent problem-solving and analytical skills.
Superb communication and storytelling skills, with the ability to shape messages for various audiences; including insights to executive-level audiences.
Analytical approach, with the ability to analyze data and identify insights.
Strong collaboration and customer management skills with a track record of successful delivery across multi-functional teams.
Ability to work effectively at all levels of the organization, from executive committee to individual employees.
Demonstrated Project Management, Scrum, Agile skills is required

💡 Responsibilities

As part of our multi-year strategy, shape, develop and implement an effective cybersecurity metrics & reporting requirements capability
Partner with customers to define report requirements, ensuring clarity and feasibility
Documents detailed reporting specifications, including data sources, metrics, and presentation format.
Validates report designs, data, and developed reports against business requirements.
Conducts detailed testing on reports, focusing on data preciseness, visual integrity, and usability.
Works with visualization and data & analytics teams to resolve any identified issues.
Conduct data discovery tied to requirements, including exploratory data analysis, data quality assessment.
Analyze requirements and data sources to identify patterns, key insights, action items, and storytelling potential.
Translate data into value while assessing effective data visualization, experience design and trending analytics linked to business and cybersecurity objectives.
Describe the key elements of a successful data story: knowing one’s audience, defining a goal, maintaining engagement, and being explicit about the takeaways.
Measure how a data story achieves its intended goals and where it can be optimized.
Identify, design and implement requirements to inform reporting, dashboards and strategy.
Identify and create metrics to measure performance through automated dashboards.

SQL Cybersecurity Data Analysis ETL Tableau Data engineering Data visualization Data modeling Data analytics

Posted about 14 hours ago

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🔥 Engineering Manager, Machine Learning

Posted about 16 hours ago

📍 United States

🧭 Full-Time

💸 185000.0 - 220000.0 USD per year

🔍 Software Development

🏢 Company: WellSaid

🔧 Requirements

5+ years of experience managing a software engineering team and a proven track record.
2+ years of experience using Cloud platforms (GCP, AWS, etc),
Background in Machine learning frameworks (such as PyTorch), and data processing tools (Spark, Pandas, etc.) are a big bonus but not mandatory.
You are proficient in software development practices, including specing, documenting, testing, reviewing, deploying, and monitoring, and are passionate about writing clean, defensible code.
Excellent communication and collaboration skills to work effectively with cross-functional teams, including software engineers, data engineers, product managers, execs, and other stakeholders.
You are flexible and capable of working with a diverse team with various communication styles and needs. You are empathic and supportive.
You create equitable processes across the entire employee lifecycle. You are particularly mindful of addressing the needs of marginalized people.
Experience in text-to-speech, speech-to-text, audio libraries, or cloud storage is a bonus.

💡 Responsibilities

Build and lead a high-performing and collaborative machine learning team, fostering an environment of innovation, growth, and accountability.
Collaborate with Product Management and other stakeholders to define, prioritize, and deliver the ML roadmap, aligning it with business goals and technical feasibility.
Ensure that complex projects are effectively scoped, planned, executed, and delivered on time while meeting cross-team quality standards.
Oversee multiple concurrent machine learning projects simultaneously, facilitating planning, and generally ensuring that deliverables are met on time.
Own and run team standups, sprint planning, and other delivery ceremonies.
Work one-on-one with team members to meet their needs, providing regular and constructive feedback. You’ll show concern and success for the well-being of others and do what you can to support people.
Conduct design, code and pull request reviews with the team.
Champion best practices in machine learning and software engineering including testing, documentation, readability, defensibility, etc.
Manage team resources effectively by prioritizing projects based on impact while balancing budget constraints for infrastructure (e.g., compute resources) or tooling needs.
Foster customer empathy within the team by introducing real-world use cases, facilitating discussions on customer pain points, reviewing feedback loops, and ensuring alignment with user needs.
All together you’ll foster an inclusive team culture and working environment.

AWS Leadership Project Management Python Software Development SQL Agile Cloud Computing Data Analysis GCP Git Machine Learning People Management Product Management PyTorch SCRUM Software Architecture Algorithms Data engineering Data Structures Pandas Spark Communication Skills CI/CD RESTful APIs Mentoring Team management Data modeling Debugging

Posted about 16 hours ago

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🔥 Senior Staff Software Engineer

Posted about 16 hours ago

📍 United States

🧭 Full-Time

💸 232000.0 - 310000.0 USD per year

🔍 Software Development

🔧 Requirements

Solid CS fundamentals and fluency of a dynamically typed language
Background building real-time distributed web services
Developing systems in web application frameworks
Implementing highly available data storage

💡 Responsibilities

Design, implement, and extend core platform services and APIs to enable new products and features to be built
Architect and build the next version of our data-processing pipeline
Create 3rd party developer APIs and tools
Analyze/debug performance issues across distributed services
Plan, design, and build our core platform software and systems to scale with an increasing number of users, features, business requirements, partners, and new engineers

AWS Backend Development Leadership Python Software Development SQL Cloud Computing Software Architecture Cross-functional Team Leadership Algorithms API testing Data engineering Data Structures Communication Skills CI/CD RESTful APIs Microservices Data modeling NodeJS Debugging

Posted about 16 hours ago

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🔥 Senior Staff Software Engineer, Backend (ML Platform)

Posted about 17 hours ago

📍 United States

🧭 Full-Time

💸 232000.0 - 310000.0 USD per year

🔍 Software Development

🔧 Requirements

10+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
Strong experience leading multiple engineering teams to deliver high quality software
Track record of successfully leading engineering teams at both rapidly scaling startups and complex larger technology companies.
Expertise in synthesizing complex technical requirements, designs, trade-offs, and capabilities into clear decisions to influence ML & engineering direction
Extensive experience developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
Experience building and operating online, real-time ML infrastructure including a model server and a feature store
Experience developing an offline environment for large scale data analysis and model training using technologies including Spark, Kubeflow, Ray, and Airflow
Experience delivering major features and system components

💡 Responsibilities

Set the multi-year, multi-team technical strategy for ML Platform and deliver it through direct implementation or broad technical leadership
Partner with technical leaders across the company to create joint roadmaps that will achieve business impacting goals through the advancement of machine learning
Act as a force-multiplier for your teams through your definition and advocacy of technical solutions and operational processes
You have an ownership mindset, and you will proactively champion investments in availability so that every project in your area achieves its availability targets
You will foster a culture of quality and ownership on your team by setting system design standards for your team, and advocating for them beyond your team through your writing and tech talks
You will help develop talent on your team by providing feedback and guidance, and leading by example

AWS Backend Development Leadership Project Management Python Apache Airflow Data Analysis Kotlin Kubeflow Kubernetes Machine Learning MySQL Software Architecture Cross-functional Team Leadership Data engineering Spark Communication Skills RESTful APIs DevOps

Posted about 17 hours ago

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🔥 Data Engineer

Posted about 17 hours ago

📍 United States

🧭 Full-Time

🔍 Sustainable Agriculture

🏢 Company: Agrovision

🔧 Requirements

Experience with RDBMS (e.g., Teradata, MS SQL Server, Oracle) in production environments is preferred
Hands-on experience in data engineering and databases/data warehouses
Familiarity with Big Data platforms (e.g., Hadoop, Spark, Hive, HBase, Map/Reduce)
Expert level understanding of Python (e.g., Pandas)
Proficient in shell scripting (e.g., Bash) and Python data application development (or similar)
Excellent collaboration and communication skills with teams
Strong analytical and problem-solving skills, essential for tackling complex challenges
Experience working with BI teams and tooling (e.g. PowerBI), supporting analytics work and interfacing with Data Scientists

💡 Responsibilities

Collaborate with data scientists to ensure high-quality, accessible data for analytical and predictive modeling
Design and implement data pipelines (ETL’s) tailored to meet business needs and digital/analytics solutions
Enhance data integrity, security, quality, and automation, addressing system gaps proactively
Support pipeline maintenance, troubleshoot issues, and optimize performance
Lead and contribute to defining detailed scalable data models for our global operations
Ensure data security standards are met and upheld by contributors, partners and regional teams through programmatic solutions and tooling

Python SQL Apache Hadoop Bash ETL Data engineering Data science RDBMS Pandas Spark Communication Skills Analytical Skills Collaboration Problem Solving Data modeling

Posted about 17 hours ago

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