Data engineering Jobs

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Data engineering

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🔥 Senior Manager, Data Engineering (m/f/d)

Posted about 17 hours ago

📍 EU

🔍 E-pharmacy

5+ years of experience in data engineering, software development, or related fields, with expertise in large-scale data projects.
Proven experience in leading small teams, fostering a collaborative and results-driven environment.
Hands-on knowledge of Azure or other public cloud platforms, Databricks, Data Factory, and Synapse Analytics.
Strong background in Big Data technologies (e.g., Apache Spark, Kafka, Flink) and SQL.
Proficiency in at least two programming languages (e.g., Python, Scala, Java) and a passion for cloud-native technologies.

Lead a small team of data engineers, providing mentorship, guidance, and support to drive their growth and success.
Oversee the design, implementation, and optimization of scalable, high-performing data pipelines.
Collaborate with AI Engineers, Architects, Analysts, and Data Scientists to understand and meet their data needs.
Ensure adherence to CI/CD practices and DevOps principles in all data projects.
Shape and execute the company’s Data & AI Strategy, optimizing performance, scalability, and security.

Python Java Kafka Kubernetes Azure Data engineering CI/CD DevOps Scala

Posted about 17 hours ago

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🔥 Data Quality Intern (100% Remote, Anywhere in the USA)

Posted about 17 hours ago

📍 USA

🧭 Internship

💸 18.0 USD per hour

🔍 Personal finance

🏢 Company: GOBankingRates

Must be available to work 24 hours per week Monday-Friday for 16 weeks.
Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field.
Ability to write basic SQL queries for data validation.
Familiarity with Python for scripting and automation.
Strong problem-solving abilities and attention to detail.
Excellent verbal and written communication skills.
A passion for learning new tools and technologies in data engineering and quality assurance.

Actively participate in agile ceremonies to understand data requirements and ensure proper test coverage.
Work closely with data engineers, analysts, and product managers to refine requirements and validate data processes.
Assist in validating data transformations and ensuring accuracy across ETL pipelines using SQL queries.
Contribute to building automated test scripts using Python for data validation and regression testing.
Support testing of data pipelines developed using dbt and Apache Airflow.
Help monitor data pipeline performance and troubleshoot issues.
Create and maintain documentation for test cases and data pipelines.

Python SQL Apache Airflow ETL Snowflake Data engineering

Posted about 17 hours ago

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🔥 VP, Data and Analytics

Posted about 18 hours ago

📍 US

🔍 Compliance Technology

Technical expertise to architect data platforms in the cloud.
Ability to lead data engineering teams.
Strong understanding of data acquisition, ingestion, normalization, and analytics.
Experience with artificial intelligence, big data, analytics, and machine learning.

Build a world-class data organization to grow and transform data and analytics engineering teams.
Responsible for all aspects of Data Engineering including acquisition, ingestion, normalization, and analytics.
Architect the future of our cloud-based data platform.
Lead various data-driven engineering teams delivering software-based data solutions.
Collaborate with business units to drive insights into data on scalable infrastructure.
Partner with business and product teams for efficient data processing and predictive insights.
Define the approach to AI, big data, analytics, and machine learning leveraging collected data.

AWS SQL Apache Airflow ETL Machine Learning Data engineering Data analytics

Posted about 18 hours ago

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🔥 Data Scientist II (Remote - US)

Posted about 23 hours ago

📍 US

🧭 Full-Time

💸 110000.0 - 135000.0 USD per year

🔍 Energy efficiency and clean energy policy

🏢 Company: Energy Solutions - USA

A minimum of 5 years of work experience.
Strong critical thinking and evidence-based reasoning skills.
Proven professional experience developing analytical dashboards using BI tools, preferably Tableau.
A minimum of 3 years of experience using Python.
Experience building analytical models using a high-level programming language.
Knowledgeable about the applicability and limitations of metrics in descriptive and inferential statistics.
Capable of working independently and effectively with technical and non-technical project managers.
Able to navigate multiple interrelated projects.
Adept at communicating technical concepts to non-technical audiences.

Develop, maintain, run, and own robust analytical models and dashboards for internal and external clients.
Translate quantitative data into reports and presentations for non-technical audiences.
Own the quality and accuracy of data analyses, working with data engineers to develop quality assurance systems.
Build ETL pipelines in collaboration with other data scientists and project managers.
Work with regular expressions and/or machine learning models for fuzzy string matching.
Mentor and provide guidance to other members of the data analysis/engineering team.
Communicate and collect information from other staff, subcontractors, and clients.

Python SQL Data Analysis ETL Machine Learning Tableau Data engineering Data visualization Data modeling

Posted about 23 hours ago

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🔥 (881) Data Architect

Posted about 23 hours ago

📍 LATAM

🏢 Company: Nearsure👥 501-1000 Staffing Agency Outsourcing Software

Bachelor's Degree in Computer Science, Engineering, or a related field.
5+ Years of experience in designing, configuring, and implementing major data platforms.
Hands-on experience with at least two of the following: Salesforce DataCloud, Google BigQuery, AWS RedShift/Aurora, Snowflake, Azure Synapse.
5+ Years of experience working with data migration projects involving mainstream databases (e.g., SQL Server, Oracle, MySQL, DB2).
5+ Years of experience in data modeling for Data Warehouses or Data Lakes.
3+ Years of experience with Python.
3+ Years of experience with data security and privacy compliance.
Experience with major cloud technologies (AWS, GCP, Azure).
Proven experience in leading a technical team of data engineers.
Expert in SQL and data modeling for complex enterprise environments.
Experience implementing and managing data catalogs.
Proficiency in handling various data types (structured, semi-structured, unstructured, JSON, AVRO).
Experience in source code control using Git.
Understanding of diverse Data & Analytics architectures.
Advanced English Level is required.

Lead the selection process of the optimal Data Lake and Analytics solution that aligns with customer business needs.
Collaborate to identify top key requirements for platform selection.
Develop a comprehensive comparison (battlecard) of potential Data Lake and Analytics platforms.
Architect and design the enterprise data platform to ensure seamless integration and interoperability with existing systems.
Guide and mentor a team of data developers, ensuring technical excellence and efficient implementation of the selected platform.
Participate in the configuration and setup of the chosen cloud environment.

AWS Python SQL ETL GCP Git MySQL Oracle Salesforce Snowflake Azure Data engineering Data modeling

Posted about 23 hours ago

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🔥 Senior Backend Software Engineer | GenAI

Posted 2 days ago

📍 Portugal

🔍 Corporate wellness

Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
Strong skills in programming languages such as Python, Go, Kotlin, Java, C or C++.
Experience with SQL/NoSQL technologies (e.g., OpenSearch, DynamoDB, PostgreSQL).
Experience with API development and integration.
Excellent problem-solving skills and attention to detail.
Strong communication skills in English and Portuguese.
Ability to work efficiently on scalable and distributed projects.
Proven experience with projects where the scope is not clearly defined.
Quick learning and adaptation to new technologies.
Passion for building reliable minimum viable products.

Design, develop, and implement generative AI-based applications.
Work with large language models (LLMs) to create innovative applications and solutions.
Conduct research to stay updated with the latest advancements in generative AI.
Develop and optimize Retrieval-Augmented Generation (RAG) systems.
Implement robust data retrieval mechanisms to support RAG frameworks.
Collaborate with data engineers for data pipeline integration.
Design and develop APIs for interfacing with AI models and services.
Ensure APIs are secure, scalable, and integrated seamlessly with other software systems.
Work closely with cross-functional teams including product managers, designers, and engineers.
Communicate technical concepts effectively to non-technical stakeholders.

AWS PostgreSQL Python SQL Cloud Computing DynamoDB ETL Java Kotlin Kubernetes PyTorch C++Data engineering Go Nosql Tensorflow

Posted 2 days ago

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🔥 Senior Software Development Manager - Billing Group

Posted 2 days ago

📍 Canada

🧭 Full-Time

💸 185300.0 - 301100.0 CAD per year

🔍 Healthcare technology

At least 12+ years of experience in software engineering, including 5+ years of management experience.
Experience working with data domains involving PHI, PII, PCI, and fraud risks.
Proven track record of leading large complex projects iteratively and growing teams.
Exceptional communication skills to align technical and business strategies across teams.
Experience in building and nurturing high-performing teams focused on innovation and collaboration.
Ability to use quantitative & qualitative data for decision making.
Experience collaborating with Design, Product, and Support teams.
Extensive experience in building highly available, scalable services and understanding system resiliency and cloud architecture.

Guide and mentor high-performing Payments and Payroll teams to design, develop, and deploy robust solutions.
Set direction by creating strong roadmaps and applying a strategic lens to project planning and execution.
Enhance team engagement and operational excellence through a metric-driven approach.
Foster professional growth through mentorship, providing timely feedback and praise.
Engage in iterative and agile delivery of customer value.

AWS Backend Development Leadership Project Management Python Software Development Java Ruby on Rails C#Data engineering Go REST API Software Engineering

Posted 2 days ago

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🔥 Project Manager

Posted 2 days ago

📍 United States, Latin America, India

🔍 Data Engineering, Cloud Data Services, Machine Learning

🏢 Company: phData👥 501-1000💰 $2,499,997 Seed almost 7 years agoInformation Services Analytics Information Technology

5+ years of related IT Project Management experience.
Experience in professional services project management directly interfacing with clients.
Process-oriented with experience in process improvement and documentation.
Proficient in Microsoft Office Products, especially Excel, and Microsoft Project.
Familiarity with both agile and waterfall project management methodologies.
Ability to follow direction while being self-directed.
Strong English-speaking written and verbal communication skills.
Proven experience with US clients.
Strong problem-solving and decision-making skills.
Ability to exercise independent judgment and critical thinking.
Bachelor’s degree in IT or related technical field preferred.

Define and deliver projects with moderate complexity impacting multiple organizations.
Manage the end-to-end delivery process across multiple customers.
Provide clear understanding of project scope, budget, timeline, and value proposition to customers.
Identify growth and renewal opportunities within existing accounts.
Make data-driven decisions and manage risks effectively.
Drive strategic solutions and ensure business alignment.
Handle executive-level escalations with sound judgment.
Create and manage project communications and status reports.
Oversee multiple projects with conflicting priorities.
Contribute to and refine phData’s PMO processes.

Project Management Agile Machine Learning Data engineering Microsoft Excel

Posted 2 days ago

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🔥 Head of Data

Posted 2 days ago

📍 United States

🧭 Full-Time

💸 192000.0 USD per year

🔍 Nonprofit Education

🏢 Company: Merit America👥 11-50💰 about 4 years agoEducation Training Non Profit

Ability to drive decision-making through data using A/B testing, causal inference, and analytics.
Strong understanding of data architectures, governance, and models.
Expert people leader, mentor, and hiring manager.
Understanding of data and AI industry trends.
Expert understanding of Data Warehousing and SQL.
Knowledge of BI tools such as Hex, Looker, PowerBI.
Commitment to diversity, equity, and inclusion initiatives.

Champion a comprehensive data strategy and roadmap for learner and coach data.
Collaborate cross-functionally to execute the data roadmap and facilitate data input and analytics.
Ensure data quality and security, maintaining trust with learners.
Foster a strong data culture across the organization.
Lead the data team and invest in team members' growth.

SQL Business Intelligence Data Analysis ETL Machine Learning Data engineering Data visualization Data modeling Data analytics A/B testing

Posted 2 days ago

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🔥 Principal Data Scientist

Posted 2 days ago

📍 Brazil, USA, Canada

🔍 Payments industry

Technical expertise in data science and machine learning.
Proven leadership abilities.
Strong business acumen.
Experience working with product and engineering teams.

Lead the organization's data science initiatives and provide strategic direction on data utilization.
Define and execute the data science roadmap.
Drive innovation in machine learning.
Ensure Trustly's data assets are leveraged to enhance products and business decisions.
Collaborate with senior leadership, engineering, product, and operations teams to deliver advanced analytical solutions.

Python SQL Data Analysis Machine Learning Data engineering Data science Data visualization

Posted 2 days ago

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