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Data Analytics Engineer

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🏢 Company: HSO👥 1001-5000Information Technology

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🔥 Refrigeration & Energy Systems - Data Analytics Engineer
Posted 1 day ago

🧭 Full-Time

  • Bachelor’s Degree in Mechanical, Thermal, Chemical, Energy Systems or Computer science
  • Analytical mindset, ability to handle multiple tasks simultaneously, work under fast-paced environment
  • Strong technical background in data engineering, systems integration, or industrial IoT
  • Proficiency in Python, SQL, and working with cloud-native data architectures (in AWS, GCP, Azure, etc.)
  • Ability to visualize complex datasets clearly and effectively for business and technical users
  • Hands-on mindset with the ability to troubleshoot across hardware, software, and network layers
  • Experience with edge computing platforms, gateways, or PLC integration (a plus)
  • Prior experience on data analytics of energy systems, refrigeration systems is highly desirable
  • Familiarity with thermodynamic principals, refrigeration or energy systems is highly desirable
  • Understanding of refrigeration, HVAC, or thermodynamic systems (a plus)
  • Experience collaborating cross-functionally with engineering, operations, and vendors
  • Self-driven and adaptable to fast-changing needs in field operations
  • Ability to be individual contributor
  • Team player and effective communicator
  • Fluent in English
  • Assist in creating and scaling a unified data strategy for field installations
  • Develop and maintain pipelines to ingest, clean, tag, and store data from mixed field controllers and edge devices
  • Interface with protocols such as Modbus, M2M2 Loytec Gateway, etc and integrate with platforms like AWS, GCP, or vendor clouds (e.g., Danfoss Carel boss)
  • Standardize and normalize fragmented datasets into a centralized cloud repository
  • Build business-facing and engineering dashboards using tools like Google data studio, Grafana or Power BI
  • Write and maintain Python or SQL scripts for data transformation, anomaly detection, and automated reporting
  • Work with refrigeration and controls engineers to support field deployments, thermodynamic analysis, and commissioning of edge/IoT devices
  • Oversee day-to-day health, analysis, and integrity of field data streams and dashboards
  • Collaborate with external vendors or contractors to deploy pilot implementations across selected sites
  • Develop algorithms for data collection, clean up, organization
  • Develop visualization dashboards
  • Conduct energy saving calculations
  • All other projects and duties as assigned
Posted 1 day ago
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🔥 Data Analytics Engineer
Posted 9 days ago

🧭 Full-Time

🔍 Software Development

🏢 Company: Veeam Software👥 5001-10000💰 $2,000,000,000 Secondary Market 6 months ago🫂 Last layoff over 1 year agoVirtualizationData ManagementData CenterEnterprise SoftwareSoftwareCloud Infrastructure

  • Strong proficiency in SQL and experience with database and data warehouse systems
  • Experience building and deploying data processes in a cloud environment (Azure, AWS, GCP)
  • Experience in at least one programming language (e.g., Python, Java, Scala)
  • Understanding of best practices in designing ETL/ELT processes, data modeling, and data warehousing
  • Design, implement, and maintain scalable and reliable data marts and transformation processes
  • Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs and requirements
  • Develop and optimize data models and schemas to ensure data is stored efficiently and can be retrieved and analyzed quickly
  • Implement ETL processes and frameworks to transform raw data from multiple sources into structured formats suitable for analysis
  • Work closely with our internal Data, Architecture, and DevOps teams to ensure the reliability and scalability of data systems
  • Monitor and troubleshoot data pipelines, and look for opportunities for continuous improvement
  • Document data systems, data flow, and data processes
Posted 9 days ago
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🔥 Senior Data Analytics Engineer - Marketing
Posted 10 days ago

📍 Australia

🏢 Company: Employment Hero👥 501-1000💰 $166,333,052 Series F over 1 year agoManagement Information SystemsHuman ResourcesSaaSFinanceEmployee Benefits

  • Proficiency in SQL and relational databases.
  • Experience with data pipeline development and ETL processes.
  • Familiarity with visualization tools (e.g., Tableau, Looker Studio).
  • Solid understanding of statistical modeling and machine learning techniques.
  • Expertise in Martech platforms (e.g., CRM, automation, advertising).
  • Strong grasp of Webtech (GA4, GTM, conversion event tracking).
  • Understanding of GTM data layer configuration and conversion tracking.
  • Bachelor’s or Master’s degree in data science, statistics, or a related field.
  • Strong analytical, communication, and problem-solving skills.
  • Knowledge of marketing attribution methods and campaign measurement.
  • Build and manage data pipelines to integrate marketing and CRM data into a single source of truth.
  • Resolve integration challenges across multiple marketing platforms, tools, and systems.
  • Simplify complex, cross-channel reporting to support faster, smarter decision-making.
  • Break down MarTech data silos to uncover end-to-end customer and campaign insights.
  • Design and optimise predictive lead scoring models using behavioural, demographic, and firmographic data.
  • Analyse and improve MQL quality by creating data views that highlight fit, intent, and downstream performance.
  • Develop intent models based on user behaviour to power audience segmentation and personalised campaigns.
  • Implement advanced attribution and media mix modelling to fine-tune ad spend and boost ROI.
  • Build smart dashboards and reports that deliver clear, actionable insights to marketing and sales teams.
  • Partner with Marketing to define and track candidate quality metrics across all channels, supporting long-term engagement and re-engagement strategies.

SQLData AnalysisETLMachine LearningGoogle AnalyticsData scienceData visualizationMarketingCRMData modelingData analytics

Posted 10 days ago
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🔥 Data Analytics Engineer II (Remote)
Posted 16 days ago

💸 130000.0 - 150000.0 USD per year

🔍 Healthcare

🏢 Company: Garner Health👥 51-100💰 $45,000,000 Series B over 3 years agoBusiness IntelligenceBig DataMedicalEmployee BenefitsHealth Care

  • 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
  • Expertise in SQL, familiarity with Python
  • Expertise in building scalable data pipelines, query optimization, PostgreSQL tuning (nice to have), data modeling, and defining reusable datasets
  • Experience working with orchestration tools (especially Argo), databases (especially PostgreSQL), data warehouses (especially Snowflake)
  • Familiarity with distributed event-driven architectures. NATS experience is a plus.
  • Familiarity with healthcare or insurance
  • Build, optimize, and maintain data pipelines that power our business
  • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
  • Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
  • Protect our users’ privacy and security through best practices
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🔥 Senior Data Analytics Engineer (worldwide remote, work anywhere)
Posted 18 days ago

📍 Georgia, Serbia, Spain, Poland

🔍 B2B SaaS or enterprise

🏢 Company: Cloudlinux

  • 4+ years of experience in analytics/data engineering roles, ideally in a B2B SaaS or enterprise context
  • Deep knowledge of SQL, data normalization, and transformation best practices
  • Familiarity with data governance, Looker modeling (LookML)
  • Hands-on experience with Airflow, dbt, Snowflake
  • Partner with Analysts, Marketing, Product, and Finance teams to define and implement data models that make insights easily accessible.
  • Transform raw data into clean, governed, analytics-ready models using dbt.
  • Ensure data consistency and integrity across systems.
  • Collaborate on designing self-serve Looker experiences while optimizing performance and reducing manual reporting overhead.
  • Debug data issues across multiple source systems and orchestrate efficient resolutions.

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Posted 18 days ago
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🔥 Data Analytics Engineer
Posted about 1 month ago

🧭 Full-Time

💸 120000.0 - 135000.0 USD per year

🔍 Data Analytics

🏢 Company: dv01👥 51-100💰 $6,000,000 Series B over 4 years agoLendingRisk Management

  • 3+ years of professional experience writing production-ready code in a language such as Python, DBT, Scala or Java as well as being highly proficient in SQL.
  • 2+ years of professional experience working directly with data pipelines with exposure to datasets related to loans an added plus.
  • Knowledgeable about relational data concepts.
  • Excited about big data tools.
  • Interested and experienced in both engineering and finance.
  • A first-rate collaborator and communicator.
  • Be at the heart of dv01.
  • Be an owner of dv01's most valuable asset.
  • Work directly with internal and external stakeholders.
  • Work with state-of-the-art technology.
Posted about 1 month ago
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🔥 Senior Data Analytics Engineer
Posted about 1 month ago

📍 India

🧭 Full-Time

🔍 Software Development

🏢 Company: YipitData (Alternative)

  • 5+ years of proven experience in data engineering, particularly in systems with high uptime requirements.
  • Eager to learn basic application development using Python frameworks and Databricks to automate analytical and data entry workflows
  • Proficient in Python, Spark, Docker, AWS, and database technologies.
  • Own and maintain core data pipelines that power strategic internal and external analytics products.
  • Build lightweight data applications and tools on top of these pipelines using Python to streamline data refinement, transformation, and processing workflows.
  • Drive reliability, efficiency, and performance improvements across the data platform.
  • Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs.
  • Partner with analysts, product teams, and engineering stakeholders to understand data requirements and translate them into scalable solutions.
  • Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency.

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Posted about 1 month ago
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🔥 Data & Analytics Engineer - AWS, Snowflake & BI
Posted 2 months ago

📍 Mexico

🧭 Full-Time

🔍 Software Development

🏢 Company: Enroute👥 1-10💰 Non-equity Assistance over 4 years agoE-CommerceEnterprise SoftwareSoftware

  • Proficient in Python.
  • Strong experience with Pandas.
  • Experience with Jenkins for continuous integration and continuous delivery pipelines.
  • Solid understanding and hands-on experience with Snowflake and PostgreSQL.
  • Proficient with Git for code management and collaboration.
  • Experience with Hightouch or similar Reverse ETL tools.
  • Familiarity with Amazon Web Services (AWS) and its data-related services.
  • Experience with Sigma Computing or other BI and analytics platforms.
  • Strong SQL skills for data extraction, manipulation, and analysis.
  • Design, build, and maintain scalable and efficient data pipelines to ingest, transform, and load data from various sources into our data warehouse (Snowflake) and other data stores (PostgreSQL).
  • Maintain and optimize our data storage systems (Snowflake and PostgreSQL) for performance, reliability, and cost-effectiveness.
  • Implement and monitor data quality checks and processes to guarantee the accuracy, completeness, and availability of data for reporting and analysis.
  • Implement and adhere to security measures and data privacy policies to protect sensitive information.
  • Utilize Jenkins to build and maintain automated CI/CD pipelines for data engineering workflows.
  • Design and implement Reverse ETL processes using Hightouch to push data from the data warehouse back to operational systems.
  • Work closely with data engineers, analysts, and other stakeholders to understand their data needs and provide1 effective data solutions.
  • Create and maintain clear and comprehensive documentation for data pipelines, storage systems, and processes.
  • Identify and resolve data-related issues and provide support to data consumers.
Posted 2 months ago
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🔥 Senior Data Analytics Engineer
Posted 7 months ago

📍 United States

🏢 Company: Sophinea👥 1-10Information ServicesAnalyticsInformation Technology

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Minimum of 10 years of experience in ETL operations, Systems Operations, and Data Analytics.
  • Expert knowledge of SQL, git, various data formats (JSON, YAML, CSV), and MS Excel.
  • Expert Python and Bash skills including OO techniques.
  • Proficiency in Ruby, Go, and other languages is a plus.
  • Familiarity with Argo CD/Workflow, Kubernetes (K8s), containers, GitHub actions, Linux, and AWS is highly desirable.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Strong proficiency in SQL and experience with MySQL or similar relational databases.
  • Must be able to interact with databases using raw-SQL.
  • Solid understanding of data modeling concepts and techniques.
  • Experience with Jaspersoft or similar reporting tools is preferred.
  • Design, develop, and maintain ETL processes to extract, transform, and load data from various sources.
  • Monitor and optimize ETL workflows to ensure data quality and performance.
  • Collaborate with cross-functional teams to gather and understand data requirements.
  • Create and maintain documentation for ETL processes and data analytics solutions.
  • Create and maintain data models to support reporting and analysis needs.
  • Support and troubleshoot ETL processes and resolve any issues in a timely manner.
  • Perform data analysis, develop dashboards, and present actionable insights to stakeholders.

AWSPythonSQLBashData AnalysisElasticSearchETLGitKafkaKibanaKubernetesMySQLApache KafkaGoCollaborationCI/CDLinux

Posted 7 months ago
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