Data engineering Job Salaries

Find salary information for remote positions requiring Data engineering skills. Make data-driven decisions about your career path.

Data engineering

Median high-range salary for jobs requiring Data Engineering:

$205,000

This analysis is based on salary ranges collected from 179 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $160,000 - $205,000

25% of job descriptions advertised a maximum salary above $243,750.
5% of job descriptions advertised a maximum salary above $310,000.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Machine Learning, Communication Skills and AWS. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

Machine Learning
38% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $164,880 - $226,500
- 25% of job descriptions advertised a maximum salary above $273,750.
- 5% of job descriptions advertised a maximum salary above $315,500.
Communication Skills
31% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $169,000 - $223,300
- 25% of job descriptions advertised a maximum salary above $270,000.
- 5% of job descriptions advertised a maximum salary above $338,000.
AWS
48% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $160,000 - $206,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $310,000.
Cloud Computing
30% jobs mention Cloud Computing as a required skill. The Median Salary Range for these jobs is $160,000 - $205,776
- 25% of job descriptions advertised a maximum salary above $255,625.
- 5% of job descriptions advertised a maximum salary above $299,062.5.
SQL
77% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $155,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $235,900.
- 5% of job descriptions advertised a maximum salary above $311,300.
Python
75% jobs mention Python as a required skill. The Median Salary Range for these jobs is $159,550 - $200,000
- 25% of job descriptions advertised a maximum salary above $235,900.
- 5% of job descriptions advertised a maximum salary above $303,120.
ETL
45% jobs mention ETL as a required skill. The Median Salary Range for these jobs is $150,000 - $196,050
- 25% of job descriptions advertised a maximum salary above $226,500.
- 5% of job descriptions advertised a maximum salary above $276,500.
Data modeling
42% jobs mention Data modeling as a required skill. The Median Salary Range for these jobs is $150,000 - $190,650
- 25% of job descriptions advertised a maximum salary above $236,975.
- 5% of job descriptions advertised a maximum salary above $313,500.
Snowflake
27% jobs mention Snowflake as a required skill. The Median Salary Range for these jobs is $150,000 - $183,764.31
- 25% of job descriptions advertised a maximum salary above $207,965.06.
- 5% of job descriptions advertised a maximum salary above $315,250.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Blockchain intelligence and financial services, Data and AI and Data/AI. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Blockchain intelligence and financial services
1% jobs are in Blockchain intelligence and financial services industry. The Median Salary Range for these jobs is $220,000 - $262,500
- 25% of job descriptions advertised a maximum salary above $270,000.
Data and AI
2% jobs are in Data and AI industry. The Median Salary Range for these jobs is $134,700 - $258,300
- 25% of job descriptions advertised a maximum salary above $289,575.
- 5% of job descriptions advertised a maximum salary above $300,000.
Data/AI
2% jobs are in Data/AI industry. The Median Salary Range for these jobs is $123,000 - $235,900
Healthcare Technology
2% jobs are in Healthcare Technology industry. The Median Salary Range for these jobs is $170,000 - $225,000
- 25% of job descriptions advertised a maximum salary above $267,600.
- 5% of job descriptions advertised a maximum salary above $281,800.
Fintech
2% jobs are in Fintech industry. The Median Salary Range for these jobs is $176,000 - $213,000
- 25% of job descriptions advertised a maximum salary above $225,750.
- 5% of job descriptions advertised a maximum salary above $230,000.
Software Development
31% jobs are in Software Development industry. The Median Salary Range for these jobs is $166,372.19 - $210,000
- 25% of job descriptions advertised a maximum salary above $259,125.
- 5% of job descriptions advertised a maximum salary above $311,500.
Healthcare
4% jobs are in Healthcare industry. The Median Salary Range for these jobs is $150,000 - $195,000
- 25% of job descriptions advertised a maximum salary above $216,250.
- 5% of job descriptions advertised a maximum salary above $260,590.
Mental Health
3% jobs are in Mental Health industry. The Median Salary Range for these jobs is $131,414 - $180,000
- 25% of job descriptions advertised a maximum salary above $197,100.
- 5% of job descriptions advertised a maximum salary above $215,000.
Data Engineering
2% jobs are in Data Engineering industry. The Median Salary Range for these jobs is $128,050 - $169,075
- 25% of job descriptions advertised a maximum salary above $195,000.
- 5% of job descriptions advertised a maximum salary above $220,000.
EdTech
2% jobs are in EdTech industry. The Median Salary Range for these jobs is $100,000 - $120,000
- 25% of job descriptions advertised a maximum salary above $146,250.
- 5% of job descriptions advertised a maximum salary above $155,000.

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Senior Software Developer, Data Technology

Posted about 5 hours 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 5 hours ago

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🔥 Lead Partner Sales Engineer

Posted about 7 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 7 hours ago

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🔥 Director of Data Engineering (Remote USA)

Posted about 7 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 7 hours ago

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🔥 Senior DevOps / Platform Engineer

Posted about 8 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 8 hours ago

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🔥 Data Engineer (Remote only in US)

Posted about 19 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 19 hours ago

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🔥 Senior Growth Engineer

Posted about 20 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 20 hours ago

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🔥 Senior Staff Software Engineer

Posted 1 day 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 1 day ago

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🔥 Senior Staff Software Engineer, Backend (ML Platform)

Posted 1 day 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 1 day ago

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🔥 Staff Machine Learning Engineer

Posted 2 days ago

🧭 Full-Time

💸 185000.0 - 315000.0 USD per year

🔍 Financial Operations

🏢 Company: Ramp👥 501-1000💰 $150,000,000 Series D 11 months agoFinancial Services Finance FinTech

🔧 Requirements

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and back end engineering
Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
Strong knowledge of SQL (preferably Snowflake, BigQuery)
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

💡 Responsibilities

Employ statistical and machine learning on large datasets to discover patterns of account takeovers and identity theft
Prototype and productionalize machine learning models and rules-based systems to protect user accounts
Partner closely with Identity Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

Backend Development Python SQL Machine Learning Numpy PyTorch Snowflake Data engineering Pandas Data modeling Software Engineering

Posted 2 days ago

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🔥 Backend Data Developer - Scraping & Conversión de Java a Python

Posted 2 days ago

📍 Argentina, Colombia, Peru, Bolivia, Plurinational State of, Mexico

🧭 Contract

💸 2300.0 - 2500.0 USD per month

🔍 Software Development

🏢 Company: Workana

🔧 Requirements

Experience with Selenium, Puppeteer or Playwright.
Experience with Java (Spring Boot, Jsoup, HttpClient) and Python (Scrapy, Selenium, Playwright, FastAPI).
Experience with pandas and NumPy.
Knowledge in SQL databases (PostgreSQL, MySQL, SQL Server).
Implementation of scrapers in scalable environments with Docker and Kubernetes.
Deployment in AWS or GCP.

💡 Responsibilities

Development and maintenance of scrapers for extracting data from web portals.
Refactorization and optimization of legacy scrapers in Java towards Python.
Implementation of more efficient architectures to improve performance.

AWS Backend Development Docker GraphQL PostgreSQL Python SQL Apache Airflow ETL GCP Java Java EE Kubernetes MySQL Numpy Spring Boot Data engineering FastAPI REST API Pandas Selenium CI/CD Microservices JSON Data management

Posted 2 days ago

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Shown 10 out of 211

Data engineering Job Salaries

Median high-range salary for jobs requiring Data Engineering:

Skills and Salary

Machine Learning

Communication Skills

AWS

Cloud Computing

SQL

Python

ETL

Data modeling

Snowflake

Industries and Salary

Blockchain intelligence and financial services

Data and AI

Data/AI

Healthcare Technology

Fintech

Software Development

Healthcare

Mental Health

Data Engineering

EdTech

Jobs