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Data engineering

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🔥 Senior Software Developer, Data Technology

Posted about 1 hour ago

📍 Canada

💸 98400.0 - 137800.0 CAD per year

🔍 Software Development

🔧 Requirements

A degree in Computer Science or Engineering, and 5-8 years of experience in developing and maintaining software or an equivalent level of education or work experience, and a track record of substantial contributions to software projects with high business impact
Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, Java, Go, and shell script
Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
Experience with various types of data stores, query engines and frameworks, e.g. PostgreSQL, MySQL, S3, Redshift/Spectrum, Presto/Athena, Spark
Experience working with message queues such as Kafka and Kinesis
Experience developing data pipelines and integrations for high volume, velocity and variety of data
Experience with data warehousing and data modeling best practices

💡 Responsibilities

Work within a cross-functional team (including analysts, product managers, and other developers) to deliver data products and services to our internal stakeholders
Conduct directed research and technical analysis of new candidate technologies that fill a development team’s business or technical need
Provide technical advice, act as a role model for your teammates, flawlessly execute complicated plans, and navigate many levels of the organization
Contribute enhancements to development, build, deployment, and monitoring processes with an emphasis on security, reliability and performance
Implement our technical roadmap as we scale our services and build new data products
Participate in code reviews, attend regular team meetings, and apply software development best practices
Take ownership of your work, and work autonomously when necessary
Recognize opportunities to improve efficiency in our data systems and processes, increase data quality, and enable consistent and reliable results
Participate in the design and implementation of our next generation data platform to empower Hootsuite with data
Participate in the development of the technical hiring process and interview scripts with an aim of attracting and hiring the best developers

AWS PostgreSQL Python Software Development SQL Agile Apache Airflow Cloud Computing Data Analysis Data Mining ETL Java Kafka MySQL Software Architecture Algorithms API testing Data engineering Data Structures Go Serverless Spark CI/CD RESTful APIs Microservices Scala Data visualization Data modeling Data management

Posted about 1 hour ago

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🔥 Software Engineer, Data Infrastructure

Posted about 2 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Anrok👥 51-100💰 $30,000,000 Series B 11 months agoSaaS Software Tax Preparation

🔧 Requirements

Product-minded software engineer with 5+ years of experience
Experience talking to users and synthesizing needs
Deep understanding of data platforms and building for scale

💡 Responsibilities

Design, build, and scale systems that let customers reliably sync their Anrok financial data to their data warehouses (e.g. Snowflake, BigQuery), allowing them to reconcile invoicing, payment, and bank account data.
Interface directly with customers to ensure the formats and mechanisms are tailored to the domain, but still flexible enough to accommodate different accounting practices.
Increase the flexibility and scale of Anrok's internal data infrastructure, allowing us to more effectively leverage data in our decision making.

AWS Backend Development PostgreSQL Python SQL Cloud Computing Data Analysis ETL Git Snowflake Algorithms Data engineering Data Structures REST API CI/CD Microservices Data visualization Data modeling NodeJS Software Engineering Data analytics Data management Debugging Customer Success

Posted about 2 hours ago

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🔥 Lead Partner Sales Engineer

Posted about 3 hours ago

📍 United States

🧭 Full-Time

💸 166372.19 - 207965.24 USD per year

🔍 Software Development

🔧 Requirements

Deep understanding of GSI and Reseller pre-sales motions, including how solution architects, pre-sales technical specialists and technical teams participate in discovery workshops, opportunity qualification, proof-of-concepts, and technical validation sessions. This includes understanding how technology choices impact project economics and delivery timelines.
Experience with GSI and Reseller sales methodologies, particularly how they identify and qualify opportunities through both client-direct and vendor-partner channels and how they manage complex, multi-stakeholder, multi-vendor, multi-tech option sales cycles.
Knowledge of how GSIs and Resellers approach technical enablement and skills development, including their internal training programs and certification paths, and how they maintain technical excellence across delivery teams while managing utilization targets.
Cloud data platforms and data lakes: Snowflake, Databricks, Redshift, BigQuery, Synapse, S3, ADLS, OneLake, Hadoop - Hands-on experience with modern cloud data platforms and data lake architectures
Data workloads including data warehousing, data lakes, AI, ML, Gen AI, data applications, data engineering
Open table formats: Iceberg, Delta Lake, Hudi
Data movement technologies: Fivetran, HVR, Matillion, Airbyte, Informatica, Talend, Datastage, ADF, AWS Glue. Hands-on experience with traditional (or more modern) ETL/ELT solutions
Databases: Oracle, SQL Server, PostgreSQL, MySQL, MongoDB, CosmosDB, SAP HANA.
Applications: Salesforce, Google Analytics, ServiceNow, Hubspot, etc.
ERP solutions: SAP, Oracle, Workday, etc.
Data transformation solutions: dbt Core, dbt Cloud, Coalesce, Informatica
Gen AI: approaches, concepts, and the Gen AI technology ecosystem for hyperscalers, cloud data platforms, and solution-specific ISVs
REST APIs: Experience programmatically interacting with REST APIs
Data Infrastructure, Data Security, Data Governance and Application Development: strong understanding of technical architectures and approaches
Programming languages: Python, SQL

💡 Responsibilities

Create, develop, build, and take ownership of ongoing relationships with GSI and Reseller pre-sales technical team members, lead architects, and other technical recommenders to create multiple Fivetran technical evangelists and champions within each GSI and Reseller partner.
Interact daily with Fivetran’s top GSI and Reseller partners while tracking, measuring, and driving 3 primary KPIs - partners enabled, gtm activities supported, and technical content created.
Represent Fivetran as the partner technical liaison plus product, data and solution expert. Collaborate with the strategic GSI and Reseller Partner Sales Managers to enable new and existing GSI and Reseller partners to understand Fivetran's value, differentiation, messaging, and technical/business value.
Assist Fivetran Partner Sales Managers in communicating and demonstrating Fivetran’s value prop to existing and prospective partners to get them excited about partnering with Fivetran
Get hands-on with all aspects of Fivetran and the broader data ecosystem technologies listed above in building out live demos, hands-on labs, solution prototypes, and Fivetran/GSI/Reseller joint solutions.
Communicate customer requirements and competitor solutions. Provide a strong technical response to partner requests. Engage the customer SE team and communicate client requirements for individual client opportunities.

PostgreSQL Python SQL Business Intelligence Cloud Computing ETL Hadoop MongoDB MySQL Oracle Salesforce SAP Snowflake Google Analytics Data engineering Analytical Skills Mentoring Presentation skills Excellent communication skills Relationship building Strong communication skills

Posted about 3 hours ago

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🔥 Director of Data Engineering (Remote USA)

Posted about 4 hours ago

📍 United States

💸 92000.0 - 180000.0 USD per year

🔍 Software Development

🔧 Requirements

Strong experience leading/managing a team of software engineers to develop applications
Ability to work closely with other leaders to scale our technology and the Engineering organization
Ability to work closely with key internal stakeholders to develop and manage the engineering roadmap
Ability to drive technical projects and planning
Strong communication skills; able to disseminate information across the organization and have strategic influence
A minimum of 7 years’ experience developing production-grade systems
A minimum of 5 years’ experience managing developers and DevOps teams

💡 Responsibilities

Define and enforce IT policies related to cloud security, software development and DevOps best practices to ensure scalable and secure systems
Provide strategic support and challenge decisions through thought-provoking questions.
Understand data governance; create and maintain policies and procedures while implementing data management systems and ensuring compliance with regulations.
Simplify complex problems to make them manageable for the organization
Drive organizational change effectively
Foster strong cross-functional communication and collaboration
Lead software engineering teams in cloud-native environments, particularly Microsoft Azure
Drive the adoption of cloud best practices, microservices, and scalable architecture
Establish coding standards, best practices, and governance policies to ensure maintainable, scalable, and secure software solutions.
Cloud Optimization – Ensure efficient use of Azure services while optimizing performance, scalability, and cost.
Effectively manage remote engineers
Provide technical and organizational leadership across the engineering team
Coach/mentor team members to encourage professional and career growth

Leadership Software Development SQL Cloud Computing ETL Machine Learning Microsoft Azure People Management Cross-functional Team Leadership Algorithms Azure Data engineering Data science Communication Skills Analytical Skills CI/CD DevOps Microservices Data visualization Stakeholder management Data modeling Data management

Posted about 4 hours ago

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🔥 Senior ML Engineer - Content and Contributor Intelligence (Remote - United Kingdom)

Posted about 4 hours ago

📍 United Kingdom

🔍 Software Development

🔧 Requirements

Experience developing and productionizing machine learning models, including their supported data pipeline.
Experience with machine learning using packages such as TensorFlow, PyTorch, Spark MLlib, XGBoost, Sklearn, etc.
Strong coding skills in Python or equivalent (Python, Java and C++).
Solid understanding of engineering and infrastructure best practices.

💡 Responsibilities

Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
Work with large and complex datasets.
Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
Work in the content and contributor intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
Productionize and automate model pipelines within Python services.
Drive and advocate adoption of best practices in MLOps (Machine Learning Operations).

Python SQL Apache Airflow Data Analysis Image Processing Kubeflow Machine Learning NLTK Numpy PyTorch C++Algorithms Data engineering Data Structures REST API Pandas Spark Tensorflow Data modeling

Posted about 4 hours ago

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🔥 Senior DevOps / Platform Engineer

Posted about 5 hours ago

📍 Canada

🧭 Full-Time

💸 135000.0 - 150000.0 CAD per year

🔍 Software Development

🏢 Company: Datatonic

🔧 Requirements

4+ years of experience in the DevOps field or as a Platform Engineer
Proficiency in Python, Java, or Go programming languages
In-depth knowledge of CI/CD tools and processes
Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.
Proficiency with technologies such as Terraform and Kubernetes

💡 Responsibilities

Design, implement, and automate scalable and resilient CI/CD & DevOps pipelines on Google Cloud Platform, tailored to client-specific AI/ML and data engineering needs.
Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.
Define and embed best practices into our internal processes to enhance the quality and consistency of our work
Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies
Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements
Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials
Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, architects and data engineers
Collaborate closely with partners such as Google to leverage their technologies effectively
Guide team members, fostering a culture of growth and innovation
Provide expert advice to customers on DevOps best practices
Establish and enhance DevOps functions within clients’ organisations
Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery

Leadership Python Agile GCP Kubernetes Machine Learning Data engineering Communication Skills Analytical Skills CI/CD Problem Solving Customer service RESTful APIs Mentoring Linux DevOps Terraform Excellent communication skills Teamwork Scripting

Posted about 5 hours ago

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🔥 Senior Consultant, Discovery & Translational Science Consulting

Posted about 6 hours ago

📍 United States of America

🧭 Full-Time

🔍 Biotechnology, Pharmaceutical, Healthcare

🏢 Company: clarivate_careers

🔧 Requirements

PhD (or equivalent work experience) in Bioinformatics, Computational or Systems Biology, Statistics, Machine Learning, Computer Science (latter two as applied to solving problems in areas of biology or medicine) or a related field.
A minimum of five years of relevant work experience in bioinformatics or computational biology in professional setting, preferably in a biotechnology, pharmaceutical, or healthcare setting.
Experience working in a customer-oriented consulting environment: an ability to earn customer trust through effective communication, efficiency, integrity, and deep technical expertise.
Proficiency in statistical programming languages (R), Unix/Linux shell with a strong understanding of statistics and biological data analysis.

💡 Responsibilities

Conduct data analysis and synthesis to support project objectives using established methods and advanced analytical tools to generate actionable insights.
Assist in designing and executing research methodologies to address business challenges and provide recommendations.
Collaborate with consulting teams in problem-solving and the development of innovative solutions tailored to customer needs and strategic goals.
Contribute to the development of client presentations and reports by organizing data, visualizing findings, and ensuring accuracy, relevance and clarity in all communications.
Engage in customer interactions and meetings, with oversight, to understand customer needs, gather feedback, and ensure alignment with project objectives.
Support proposal development by contributing to specific elements of the proposal.
Collaborate with senior consultants on project execution, coordinating tasks, managing timelines, and ensuring the successful delivery of high-quality consulting services.

AWS Docker Python SQL Apache Airflow Apache Hadoop Cloud Computing Data Analysis Data Mining ETL Flask Image Processing Kafka Kubernetes Machine Learning Numpy PyTorch Algorithms Data engineering Data science Data Structures RDBMS Nosql Pandas Tensorflow CI/CD RESTful APIs Terraform JSON Data visualization Ansible Data modeling Data analytics Data management

Posted about 6 hours ago

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🔥 Data Engineer (Remote only in US)

Posted about 16 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 16 hours ago

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🔥 Senior Growth Engineer

Posted about 17 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 17 hours ago

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🔥 Data & AI Engineer (Frankfurt, Germany)

Posted about 20 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 20 hours ago

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