Remote Data Analyst Jobs

Data engineering

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🔥 Grupo QuintoAndar | Tech Lead Manager (AI Core Platform)

Posted about 4 hours ago

📍 Brazil

🧭 Full-Time

🔍 Software Development

🏢 Company: Grupo QuintoAndar

🔧 Requirements

Solid understanding of the engineering challenges of deploying machine learning systems to production;
Solid understanding of systems, software and data engineering best practices;
Proficiency with cloud-based services;
Proficiency in Python or another major programming language;
Have experience building backend systems, event driven architectures and rest/http applications
Have experience building solutions with LLMs (RAG, fine-tuning);
Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI);
Experience leading teams and managing careers.

💡 Responsibilities

Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
Be a technical reference to the team, including doing hands-on engineering work.
Shaping the technical direction of our products, translating business requirements into solutions.
Discuss business requirements with the Product Manager and other stakeholders.

AWS Backend Development Docker Leadership Project Management Python Software Development SQL Artificial Intelligence Cloud Computing Kubernetes Machine Learning Software Architecture Algorithms Data engineering Data science Data Structures REST API Communication Skills CI/CD Agile methodologies RESTful APIs Excellent communication skills Problem-solving skills Team management Technical support Data modeling

Posted about 4 hours ago

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🔥 Grupo QuintoAndar | Tech Lead Manager (AI Core Platform)

Posted about 4 hours ago

📍 Portugal

🧭 Full-Time

🔍 Real Estate Tech

🏢 Company: Grupo QuintoAndar

🔧 Requirements

Solid understanding of the engineering challenges of deploying machine learning systems to production
Proficiency with cloud-based services
Proficiency in Python or another major programming language
Have experience building backend systems, event driven architectures and rest/http applications
Have experience building solutions with LLMs (RAG, fine-tuning)
Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI)

💡 Responsibilities

Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
Be a technical reference to the team, including doing hands-on engineering work.
Shaping the technical direction of our products, translating business requirements into solutions.
Discuss business requirements with the Product Manager and other stakeholders.

AWS Backend Development Docker Leadership Python Software Development SQL Apache Airflow Cloud Computing Flask Kubernetes Machine Learning Numpy Data engineering Data science RDBMS REST API Pandas Communication Skills CI/CD RESTful APIs

Posted about 4 hours ago

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🔥 Engineering Manager (Data)

Posted about 6 hours ago

📍 Romania

🧭 Full-Time

🔍 Software Development

🏢 Company: Plain Concepts👥 251-500 Consulting Apps Mobile Apps Information Technology Mobile

🔧 Requirements

At least 3 years of experience as a Delivery Manager, Engineering Manager, or similar role in software, data-intensive or analytics projects.
Proven experience managing client relationships and navigating stakeholder expectations.
Strong technical background in Data Engineering (e.g., Python, Spark, SQL) and Cloud Data Platforms (e.g., Azure Data Services, AWS, or similar).
Solid understanding of scalable software and data architectures, CI/CD practices for data pipelines, and cloud-native data solutions.
Experience with data pipelines, sensor integration, edge computing, or real-time analytics is a big plus.
Ability to read, write, and discuss technical documentation with confidence.
Strong analytical and consultative skills to identify impactful opportunities.
Agile mindset, always focused on delivering real value fast.
Conflict resolution skills and a proactive approach to identifying and mitigating risks.

💡 Responsibilities

Understanding the business and technical objectives of data-driven projects.
Leading multidisciplinary teams to deliver scalable and robust software and data solutions on time and within budget.
Maintaining proactive and transparent communication with clients, helping them understand the impact of data products.
Supporting the team during key client interactions and solution presentations.
Designing scalable architectures for data ingestion, processing, and analytics.
Collaborating with data engineers, analysts, and data scientists to align solutions with client needs.
Ensuring the quality and scalability of data solutions and deliverables across cloud environments.
Analyzing system performance and recommending improvements using data-driven insights.
Providing hands-on technical guidance and mentorship to your team and clients when needed

AWS Python SQL Agile Cloud Computing Azure Data engineering Spark Communication Skills CI/CD Client relationship management Team management Stakeholder management Data analytics

Posted about 6 hours ago

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🔥 Senior Software Engineer (Remote - US or Canada)

Posted about 6 hours ago

📍 United States, Canada

🧭 Full-Time

💸 140000.0 - 160000.0 USD per year

🔍 Software Development

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

🔧 Requirements

5+ years of experience building scalable backend applications and APIs.
Proficiency in Go, Python, or Java, with a strong grasp of SQL and NoSQL databases (e.g., Bigtable, BigQuery, DynamoDB).
Experience working with cloud infrastructure, preferably AWS or GCP, and CI/CD pipelines.
Familiarity with containerization technologies such as Docker and Kubernetes.
Strong problem-solving and analytical skills, with the ability to communicate complex concepts clearly.

💡 Responsibilities

Design and implement ETL pipelines capable of processing large-scale datasets efficiently.
Build and maintain robust APIs for data retrieval, including support for complex query types.
Architect scalable data storage and retrieval systems using SQL/NoSQL technologies.
Transform raw data into structured, high-value data products to support business and operational decisions.
Collaborate with internal stakeholders to align data architecture with product and customer needs.
Document technical processes and mentor junior team members.
Ensure performance, security, and scalability across the data platform.

AWS Backend Development Docker Python SQL DynamoDB ETL GCP Java Kubernetes API testing Data engineering Go Nosql CI/CD RESTful APIs Data modeling Software Engineering Data analytics

Posted about 6 hours ago

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🔥 Enterprise Data Architect

Posted about 7 hours ago

📍 GBR

🧭 Full-Time

🔍 Insurance

🏢 Company: dxcjobs

🔧 Requirements

Experience in defining high quality Logical Data Models and gaining approval for such models in a complex stakeholder environment.
Experience of stakeholder management including senior stakeholders, 3rd party partners and standards organisations.
Experience of working with industry standard data models and extending those models to support business requirements.
Experience of working in an insurance business domain and with insurance logical data models, including commercial insurance.
Experience with a wide variety of technical domains from green field microservice architectures to workflow management systems, integration tooling and mainframe.
Experience of Logical Physical data mapping and of large-scale transformation projects moving from complex legacy system domains to modern digital applications.
Experience of defining transition plans and road maps for data migration, including both bulk and gradual migration.
Experience of defining patterns for and implementing BI/MI, analytics, and machine learning on large-volume datasets.
Experience of data designing and implementing data security policies and regulatory compliance.
Experience of defining and implementing governance processes for data management.
Experience of working with external standards organisations.
Experience of working with TOGAF framework.

💡 Responsibilities

Define and manage an Enterprise Data Strategy, supporting the business strategy and objectives.
Conduct detailed analysis of business processes, requirements, and scenarios to produce high quality Logical Data Models and work with senior stakeholders, third party partners, and standards organisations to gain approval for finished artefacts.
Work with and customise Industry Standard Logical Data Models to produce and maintain models tailored to the specific business domain.
Define, document and maintain business value chain for enterprise data.
Analyse business processes to identify and document key data dependency through key end-to-end business process flows.
Work with internal and external development teams and technical architects to drive logical service architecture design, external API contract design, and internal physical data model design.
Work with Technical BA's to analyse existing system behaviour, data models and business process implementations to facilitate logical to physical data mapping into existing systems to drive system integration designs and data transformation.
Design data models and patterns for downstream data exposure to facilitate accessibility for and analytics, BI, MI and reporting, both internal and external.
Work with external 3rd party standards bodies to define and maintain global messaging standards.
Based on business process analysis, understand and document life cycles of key data entities and define non-functional requirements for data consistency, integrity, availability, latency, and auditability.
Work with Security Architects to define and agree on data security classifications for data defined in data models.
Define and manage data governance framework for the program and work with existing architecture team to hand into BAU.

SQL Business Intelligence Cloud Computing Data Mining ETL API testing Data engineering REST API Microservices Data visualization Stakeholder management Data modeling Data analytics Data management

Posted about 7 hours ago

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🔥 Operations Engineer

Posted about 8 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Arrived👥 1-50

🔧 Requirements

Software engineering background with strong programming skills in Python, SQL, and modern development practices
Experience building and maintaining production data systems, APIs, or backend services
Hands-on experience with data pipeline tools (dbt, Fivetran, or similar)
Strong SQL skills and experience with data warehouses (Snowflake)

💡 Responsibilities

Build production data systems – design and implement scalable data pipelines, ETL processes, and APIs that handle structured and unstructured data from multiple sources
Develop internal applications – write maintainable code for internal tools, automation services, and integrations
Own system architecture – make technical decisions about data flow, system design, and technology stack choices that balance immediate needs with long-term scalability

AWS Backend Development Project Management Python SQL ETL Snowflake Algorithms API testing Data engineering Data Structures REST API Communication Skills CI/CD RESTful APIs DevOps Data visualization Data modeling Software Engineering Data analytics Data management

Posted about 8 hours ago

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🔥 Senior Analytics Engineer

Posted about 8 hours ago

📍 United States

🧭 Full-Time

💸 150000.0 - 200000.0 USD per year

🔍 Energy

🏢 Company: Arcadia👥 501-1000💰 $125,000,000 over 2 years agoDatabase CleanTech Renewable Energy Clean Energy Software

🔧 Requirements

4+ years as an Analytics Engineer or equivalent role; experience with dbt is strongly preferred
6+ years, cumulatively, in the data space (data engineering, data science, analytics, or similar)
Expert-level understanding of conceptual data modeling and data mart design
An understanding of data structures and/or database design plus deep experience with SQL and Python
Experience building data pipelines and database management including Snowflake or similar
Ability to bring a customer-oriented and empathetic approach to understanding how data is used to drive the business
Experience in technical leadership or mentorship
Strong communication and collaboration skills
Proven ability to solve complex problems in a dynamic and evolving environment

💡 Responsibilities

Transform, test, deploy, and document data to deliver clean and trustworthy data for analysis to end-users
Collaborate with subject matter experts, engineers, and product managers to identify the most elegant and effective data structures to understand our constantly growing and evolving business
Help bring engineering best practices (reliability, modularity, test coverage, documentation) to our DAG and to our Data team generally
Collaborate with data engineers to build robust, tested, scalable ELT pipelines.
Data modeling: model raw data into clean, tested, and reusable datasets to represent our key business data concepts. Define the rules and requirements for the formats and attributes of data
Data transformation: build our data lakehouse by transforming raw data into meaningful, useful data elements through joining, filtering, and aggregating source dataData documentation: create and maintain data documentation including data definitions and understandable data descriptions to enable broad-scale understanding of the use of data
Employ software engineering best practices to write code and coach analysts and data scientists to do the same

AWS Python SQL Data Analysis ETL Git Snowflake Data engineering Data Structures Communication Skills Analytical Skills Collaboration Data visualization Data modeling Data management

Posted about 8 hours ago

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🔥 Data Engineer II (@Remote, Chile and Colombia)

Posted about 8 hours ago

📍 Chile, Colombia

🔍 Software Development

🏢 Company: OfferUp👥 251-500💰 $120,000,000 about 5 years ago🫂 Last layoff over 2 years agoMobile Payments Marketplace E-Commerce E-Commerce Platforms Apps Mobile Classifieds

🔧 Requirements

3+ years of professional software development experience
Strong ability in distributed systems for processing large scale data processing
Ability to communicate technical information effectively to technical and non-technical audiences
Proficiency in SQL and Python
Experience leveraging open source data infrastructure projects, such as Airflow, Kafka, Avro, Parquet, Hadoop, Hive, HBase, Presto or Druid
Experience building scalable data pipelines and real-time data streams
Experience building software in AWS or a similar cloud environment
Experience with AWS services like Kinesis, Firehose, Lambda, Sagemaker is a big plus
Experience with GCP services like BigQuery, Cloud Functions is a big plus
Experience with operational tools like Terraform, Datadog and Pagerduty is a big plus

💡 Responsibilities

Design and develop applications to process large amounts of critical information to power analytics and user-facing features.
Monitor and resolve data pipeline or data integrity issues.
Work across multiple teams to understand their data needs.
Maintain and expand our data infrastructure.

AWS Python Software Development SQL Apache Airflow Cloud Computing GCP Apache Kafka Data engineering Terraform Data visualization

Posted about 8 hours ago

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🔥 Senior Solutions Engineer, West Coast

Posted about 10 hours ago

📍 United States, Canada

🧭 Full-Time

💸 118300.0 - 147800.0 USD 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

3+ years of success in a solutions engineering (presales) role with 6+ years of progressive professional experience supporting technical products.
Experience with Data Engineering, Cloud Data Warehouses, Data Modeling, and APIs
Experience with marketing technology such as marketing automation, personalization, journey orchestration, or advertising.

💡 Responsibilities

Partner with Account Executives to execute pre-sales activities including opportunity qualification, discovery, demonstrations, Proof-of-Concept, RFP responses,and justifying business value.
Become an expert builder and evangelist of Segment’s products and partner ecosystem.
Lead technical evaluations with our prospects to uncover their goals and technical pain, in order to design, demonstrate and present innovative solutions that unlock business-level gains.
Develop subject matter expertise on Customer Data Platforms (CDPs) and Segment’s role within the customer data ecosystem.
Act as a trusted advisor to consult with customers and prospects in order to influence their customer data strategy and architecture design.
Build a perspective on customer and market trends by listening to prospects and advocating for customer interests to influence Segment’s strategy and vision.

AWS Cloud Computing ETL Data engineering Data science Communication Skills Problem Solving RESTful APIs Sales experience Marketing Data modeling Scripting Data analytics Data management Customer Success

Posted about 10 hours ago

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🔥 Data Platform Engineer

Posted about 10 hours ago

📍 United States

🧭 Full-Time

💸 180000.0 - 220000.0 USD per year

🔍 Software Development

🏢 Company: Prepared👥 51-100💰 $27,000,000 Series B 8 months agoEnterprise Software Public Safety

🔧 Requirements

5+ years of experience in data engineering, software engineering with a data focus, data science, or a related role
Knowledge of designing data pipelines from a variety of source (e.g. streaming, flat files, APIs)
Proficiency in SQL and experience with relational databases (e.g., PostgreSQL)
Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming, Flink, Pulsar, Redpanda)
Strong programming skills in common data-focused languages (e.g., Python, Scala)
Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Prefect, Temporal)
Familiarity with AWS-based data solutions
Strong understanding of data warehousing concepts and technologies (Snowflake)
Experience documenting data dependency maps and data lineage
Strong communication and collaboration skills
Ability to work independently and take initiative
Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes)

💡 Responsibilities

Design, implement, and maintain scalable data pipelines and infrastructure
Collaborate with software engineers, product managers, customer success managers, and others across the business to understand data requirements
Optimize and manage our data storage solutions
Ensure data quality, reliability, and security across the data lifecycle
Develop and maintain ETL processes and frameworks
Work with stakeholders to define data availability SLAs
Create and manage data models to support business intelligence and analytics

AWS Docker PostgreSQL Python SQL Apache Airflow ETL Kubernetes Snowflake Apache Kafka Data engineering Spark Scala Data modeling

Posted about 10 hours ago

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Remote Data Analyst Jobs

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