FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data pipelines and cloud-native data platforms, with a strong focus on SQL, Python, and Snowflake. Proven ability to lead engineering teams, optimize data workflows, and ensure data quality and governance in fast-paced environments.
Highest-signal resume keywords
Data EngineeringETL/ELT FrameworksSnowflakeApache AirflowSQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonPySparkETLData ModelingData WarehousingPerformance TuningData GovernanceMetadata ManagementStreaming Data Processing
Soft Skills
LeadershipCollaborationCommunicationProblem-SolvingIndependence
Tools & Technologies
SnowflakeAWSAzureGCPApache AirflowDatabricksTableauPower BILookerHadoop
Industry Keywords
Big DataCloud Data PlatformDataOpsCI/CDInfrastructure as CodeDevOpsMedallion ArchitectureLakehouse ArchitectureAI/ML Data PipelinesClient-Facing Delivery
Tech Stack
Tools & technologiesAirflowApacheAWSAzureCloudETLGoogle Cloud PlatformHadoopHBaseKafkaPySparkPythonSparkSQLTableau
About the role
Key responsibilities & impact- Guide engineering teams, establish best practices, and ensure successful delivery across multiple workstreams
- Design, develop, and maintain scalable data pipelines and data products for analytics, reporting, AI, and operational use cases
- Build and optimize large-scale ETL/ELT frameworks for data ingestion, transformation, validation, and consumption
- Develop and manage cloud-native data platforms using Snowflake, AWS, Apache Airflow, and modern data architectures
- Create scalable data models, data marts, semantic layers, and curated datasets for enterprise analytics
- Optimize SQL workloads, transformation logic, and query performance for scalability and cost efficiency
- Establish reusable engineering frameworks, accelerators, and best practices across projects
- Ensure data quality, reliability, governance, and observability throughout the data lifecycle
- Develop and maintain Snowflake-based data ecosystems, including performance optimization and data sharing
- Build and orchestrate workflows using Airflow and other scheduling platforms
- Collaborate with client stakeholders to gather requirements, define roadmaps, and develop technical solutions
- Present solution designs, technical recommendations, and project updates to technical and business audiences
- Maintain project documentation, technical specifications, architecture diagrams, and operational runbooks
Requirements
What you’ll need- 4+ years of experience in Data Engineering, Big Data Engineering, or Cloud Data Platform development
- Bachelor's or Master's degree in Computer Science, Engineering, Analytics, Mathematics, Information Systems, or related disciplines
- Strong hands-on expertise in SQL, Python, and PySpark
- Extensive experience with Snowflake, Databricks, or similar cloud-native data platforms
- Experience building and supporting large-scale ETL/ELT data pipelines
- Understanding of data warehousing, dimensional modeling, and modern Lakehouse architectures
- Experience implementing Medallion Architecture and enterprise-grade data modeling practices
- Hands-on experience with Apache Airflow or equivalent workflow orchestration frameworks
- Experience with AWS, Azure, or GCP cloud ecosystems
- Knowledge of performance tuning, optimization, monitoring, and operational support for data platforms
- Experience leading engineering teams and coordinating with client and internal stakeholders
- Ability to work independently and lead complex initiatives in fast-paced consulting environments
- Preferred: streaming and real-time data processing
- Preferred: DataOps, CI/CD, Infrastructure as Code, and DevOps practices
- Preferred: data governance, data quality frameworks, and metadata management
- Preferred: AI/ML data pipelines and feature engineering workflows
- Preferred: Tableau, Power BI, or Looker
- Preferred: Spark, Hadoop, Hive, HBase, Kafka, or related Big Data technologies
- Preferred: consulting or client-facing delivery experience in enterprise-scale environments
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EXL Website LinkedIn All Job Openings 10,000+ employees 🏥 Healthcare 🛡️ Insurance 📦 Logistics 💰 $2M Venture Round on 2015-01 Healthcare
- Insurance
- Logistics EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data. Lead Data Engineer 🔥 22 minutes ago 🏢🏡 null – Hybrid ⏰ Full Time 🟠 Senior 🚰 Data Engineer Airflow Apache AWS Azure Cloud ETL Google Cloud Platform Hadoop HBase Kafka PySpark Python Spark SQL Tableau Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Guide engineering teams, establish best practices, and ensure successful delivery across multiple workstreams
- Design, develop, and maintain scalable data pipelines and data products for analytics, reporting, AI, and operational use cases
- Build and optimize large-scale ETL/ELT frameworks for data ingestion, transformation, validation, and consumption
- Develop and manage cloud-native data platforms using Snowflake, AWS, Apache Airflow, and modern data architectures
- Create scalable data models, data marts, semantic layers, and curated datasets for enterprise analytics
- Optimize SQL workloads, transformation logic, and query performance for scalability and cost efficiency
- Establish reusable engineering frameworks, accelerators, and best practices across projects
- Ensure data quality, reliability, governance, and observability throughout the data lifecycle
- Develop and maintain Snowflake-based data ecosystems, including performance optimization and data sharing
- Build and orchestrate workflows using Airflow and other scheduling platforms
- Collaborate with client stakeholders to gather requirements, define roadmaps, and develop technical solutions
- Present solution designs, technical recommendations, and project updates to technical and business audiences
- Maintain project documentation, technical specifications, architecture diagrams, and operational runbooks 🎯 Requirements
- 4+ years of experience in Data Engineering, Big Data Engineering, or Cloud Data Platform development
- Bachelor's or Master's degree in Computer Science, Engineering, Analytics, Mathematics, Information Systems, or related disciplines
- Strong hands-on expertise in SQL, Python, and PySpark
- Extensive experience with Snowflake, Databricks, or similar cloud-native data platforms
- Experience building and supporting large-scale ETL/ELT data pipelines
- Understanding of data warehousing, dimensional modeling, and modern Lakehouse architectures
- Experience implementing Medallion Architecture and enterprise-grade data modeling practices
- Hands-on experience with Apache Airflow or equivalent workflow orchestration frameworks
- Experience with AWS, Azure, or GCP cloud ecosystems
- Knowledge of performance tuning, optimization, monitoring, and operational support for data platforms
- Experience leading engineering teams and coordinating with client and internal stakeholders
- Ability to work independently and lead complex initiatives in fast-paced consulting environments
- Preferred: streaming and real-time data processing
- Preferred: DataOps, CI/CD, Infrastructure as Code, and DevOps practices
- Preferred: data governance, data quality frameworks, and metadata management
- Preferred: AI/ML data pipelines and feature engineering workflows
- Preferred: Tableau, Power BI, or Looker
- Preferred: Spark, Hadoop, Hive, HBase, Kafka, or related Big Data technologies
- Preferred: consulting or client-facing delivery experience in enterprise-scale environments Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Data Engineer 🔥 5 hours ago EF Education First Teachers 1001 - 5000 📚 Education 🤝 B2B Website LinkedIn All Job Openings Data Engineer building trusted pipelines, dbt models, and Snowflake foundations for EF World Journeys’ guided travel programs. Supporting AI/ML, marketing activation, and data quality across the travel business. 🏢🏡 Boston – Hybrid 💵 $85k - $110k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer AWS Cloud ETL Python SQL Data Engineer III 🔥 7 hours ago Pearson VUE 1001 - 5000 💼 Consulting 🏥 Healthcare 📦 Logistics Website LinkedIn All Job Openings Data Engineer building scalable GCP data products for Pearson, an education company. Developing dbt, BigQuery, Looker, and Power BI solutions for analytics and AI use cases. 🏢🏡 Denver – Hybrid 💵 $80k - $100k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Airflow BigQuery Cloud Google Cloud Platform Python SQL Senior Contact Center Data Engineer 🔥 8 hours ago GEICO 10,000+ employees 🚘 Automotive 💼 Consulting 🏥 Healthcare Website LinkedIn All Job Openings Senior data engineer building scalable contact-center analytics for GEICO, a major U.S. auto insurer. Designing dashboards, monitoring systems, and data solutions while mentoring junior engineers. 🏢🏡 Dallas – Hybrid 💵 $104.5k - $172.2k / year ⏰ Full Time 🟠 Senior 🚰 Data Engineer 🦅 H1B Visa Sponsor AWS Azure Cloud Hadoop Python Spark SQL Tableau .NET Data Center Engineer 🔥 9 hours ago Cloudflare 1001 - 5000 💼 Consulting 📦 Logistics 📣 Marketing Website LinkedIn All Job Openings Data Center Engineer maintaining Cloudflare’s global Internet infrastructure in Austin. Collaborating with engineering teams and vendors to operate, automate, and improve worldwide data center systems. 🏢🏡 Austin – Hybrid 💰 $150M Series E on 2019-03 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer 🦅 H1B Visa Sponsor Ansible Apache Chef HAProxy Linux NGINX Puppet Python SaltStack Go Data Engineer 🔥 16 hours ago SignalFire 11 - 50 🏥 Healthcare 💼 Consulting 📦 Logistics Website LinkedIn All Job Openings Data Engineer building scalable pipelines, data platforms, and trusted datasets for SignalFire’s VC-backed startup portfolio. Supporting analytics, machine learning, governance, and infrastructure growth across early-stage technology companies. 🏢🏡 New York City – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Amazon Redshift AWS Azure BigQuery Cloud Distributed Systems ETL Google Cloud Platform Java Python Scala SQL View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs