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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Databricks production support, including pipeline optimization, data quality monitoring, and compliance with data governance principles. Proficient in building and maintaining high-performance data pipelines across Azure and AWS environments while ensuring data security and tenant isolation.
Highest-signal resume keywords
Databricks Production SupportPySpark ProficiencyDelta Lake ArchitectureData Governance and CompliancePipeline Performance Tuning
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringSQLPythonPostgreSQLETL/ELT MigrationData Pipeline DevelopmentIncident ResponseCI/CD Best PracticesData Quality MonitoringPerformance Optimization
Soft Skills
Collaborative WorkCross-Functional CommunicationProblem Solving
Tools & Technologies
DatabricksApache SparkAzureAWSSSISInformaticaDelta Lake
Industry Keywords
Data PrivacyMulti-Tenant ArchitectureData SecuritySLA Performance MetricsData Integrity
Tech Stack
Tools & technologiesApacheAWSAzureERPETLInformaticaPostgresPySparkPythonSparkSQLSSIS
About the role
Key responsibilities & impact- Own Databricks production support for the predictive data platform, including monitoring, alerting, and incident response across all production data flows.
- Maintain and report on SLA performance metrics for data pipeline delivery, ensuring visibility into platform health and accountability across internal and external stakeholders.
- Identify and implement pipeline optimizations that reduce Databricks compute costs, improve throughput, and reduce processing windows while tracking impacts through measurable KPIs.
- Migrate legacy ETL/ELT pipelines to Databricks, building automation tooling to reduce manual intervention and ensure uninterrupted data delivery during transitions.
- Support new customers onboarding by provisioning, validating, and hardening tenant data pipelines that deliver reliable, isolated data from day one.
- Design and build high-performance Databricks pipelines that ingest, transform, and serve ERP and CRM data at scale across both Azure and AWS environments.
- Own the Delta Lake architecture including schema design, partitioning strategies, data quality enforcement, and incremental processing patterns.
- Enforce data security best practices across Databricks environments, including role-based access control, secrets management, and compliance requirements for enterprise CRM and ERP data.
- Implement data quality monitoring and observability across pipeline health and ML model inputs, ensuring data integrity that directly supports model prediction accuracy.
- Apply and enforce multi-tenant data isolation patterns ensuring reliable, secure data delivery across enterprise customers.
- Partner with the Enterprise Architecture team to ensure data pipelines integrate seamlessly with the broader product ecosystem.
- Support a globally distributed operation through on-call rotation and after-hours incident response, meeting SLAs across multiple time zones.
- Maintain technical documentation, runbooks, and architectural decision records, contributing to team knowledge sharing and operational readiness across on-call and incident response scenarios.
- Apply CI/CD best practices to data pipeline development, including version control, automated testing, and deployment tooling to ensure reliable and repeatable pipeline delivery.
Requirements
What you’ll need- 4+ years of data engineering experience.
- At least 2 years on Databricks or the Apache Spark ecosystem across Azure and/or AWS.
- Proficiency in PySpark, SQL, and Python with a strong track record building and operating production-grade pipelines under SLA constraints.
- Hands-on experience with Delta Lake including schema evolution, ACID transactions, optimize/vacuum lifecycle, and both incremental and streaming processing patterns.
- Hands-on experience with pipeline performance tuning and compute optimization in production Databricks environments.
- Solid working knowledge of PostgreSQL including query optimization, schema design, and use as a source or sink in production data pipelines.
- Experience supporting and maintaining legacy ETL tooling (SSIS, Informatica, custom Python/SQL pipelines, or similar) in production.
- Experience supporting large-scale multi-tenant architectures with a focus on tenant isolation, per-tenant performance, and data privacy, including navigating tools and platforms that default to single-tenant assumptions.
- Proven ability to work collaboratively across Data Science, Product, and Infrastructure teams, owning end-to-end delivery in a cross-functional environment.
- Strong understanding of data governance, security, and compliance principles, including access control, data privacy, and protection of sensitive enterprise data across multi-tenant environments.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Intetics Website LinkedIn All Job Openings 501 - 1000 employees Founded 1995 💼 Consulting 🏥 Healthcare 📦 Logistics Consulting
- Healthcare
- Logistics Intetics is an innovative company providing custom software development services, specializing in AI and machine learning solutions. They offer Remote In-Sourcing® to build expert teams for software engineering and data processing projects, along with advanced tools like TETRA™ for software quality assessment. Intetics aims to empower businesses by leveraging high-quality data and integrating modern technologies across various industries, including healthcare, finance, and more. Senior Data Engineer – Databricks 🔥 30 minutes ago 🌐 Argentina, Colombia, +4 more countries – Remote ⏰ Full Time 🟠 Senior 🚰 Data Engineer Apache AWS Azure ERP ETL Informatica Postgres PySpark Python Spark SQL SSIS Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Own Databricks production support for the predictive data platform, including monitoring, alerting, and incident response across all production data flows.
- Maintain and report on SLA performance metrics for data pipeline delivery, ensuring visibility into platform health and accountability across internal and external stakeholders.
- Identify and implement pipeline optimizations that reduce Databricks compute costs, improve throughput, and reduce processing windows while tracking impacts through measurable KPIs.
- Migrate legacy ETL/ELT pipelines to Databricks, building automation tooling to reduce manual intervention and ensure uninterrupted data delivery during transitions.
- Support new customers onboarding by provisioning, validating, and hardening tenant data pipelines that deliver reliable, isolated data from day one.
- Design and build high-performance Databricks pipelines that ingest, transform, and serve ERP and CRM data at scale across both Azure and AWS environments.
- Own the Delta Lake architecture including schema design, partitioning strategies, data quality enforcement, and incremental processing patterns.
- Enforce data security best practices across Databricks environments, including role-based access control, secrets management, and compliance requirements for enterprise CRM and ERP data.
- Implement data quality monitoring and observability across pipeline health and ML model inputs, ensuring data integrity that directly supports model prediction accuracy.
- Apply and enforce multi-tenant data isolation patterns ensuring reliable, secure data delivery across enterprise customers.
- Partner with the Enterprise Architecture team to ensure data pipelines integrate seamlessly with the broader product ecosystem.
- Support a globally distributed operation through on-call rotation and after-hours incident response, meeting SLAs across multiple time zones.
- Maintain technical documentation, runbooks, and architectural decision records, contributing to team knowledge sharing and operational readiness across on-call and incident response scenarios.
- Apply CI/CD best practices to data pipeline development, including version control, automated testing, and deployment tooling to ensure reliable and repeatable pipeline delivery. 🎯 Requirements
- 4+ years of data engineering experience.
- At least 2 years on Databricks or the Apache Spark ecosystem across Azure and/or AWS.
- Proficiency in PySpark, SQL, and Python with a strong track record building and operating production-grade pipelines under SLA constraints.
- Hands-on experience with Delta Lake including schema evolution, ACID transactions, optimize/vacuum lifecycle, and both incremental and streaming processing patterns.
- Hands-on experience with pipeline performance tuning and compute optimization in production Databricks environments.
- Solid working knowledge of PostgreSQL including query optimization, schema design, and use as a source or sink in production data pipelines.
- Experience supporting and maintaining legacy ETL tooling (SSIS, Informatica, custom Python/SQL pipelines, or similar) in production.
- Experience supporting large-scale multi-tenant architectures with a focus on tenant isolation, per-tenant performance, and data privacy, including navigating tools and platforms that default to single-tenant assumptions.
- Proven ability to work collaboratively across Data Science, Product, and Infrastructure teams, owning end-to-end delivery in a cross-functional environment.
- Strong understanding of data governance, security, and compliance principles, including access control, data privacy, and protection of sensitive enterprise data across multi-tenant 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 Mid-level Data Engineer 🕒 Yesterday SunnyData 51 - 200 💼 Consulting 🏥 Healthcare 📦 Logistics Website LinkedIn All Job Openings Data Engineer role at SunnyData working with clients on data engineering solutions. Collaborate and design systems that support AI and business intelligence insights with a dynamic team. 🇦🇷 Argentina – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer AWS Azure Cloud Google Cloud Platform Hadoop Kafka Pandas Scikit-Learn Spark SQL Senior Data Engineer – Microsoft Fabric 🕒 2 days ago MUTT DATA 51 - 200 📣 Marketing 🛡️ Insurance 📦 Logistics Website LinkedIn All Job Openings Data Engineer Senior role at Mutt Data focusing on Building Data Pipelines and Machine Learning systems in a startup environment. 🇦🇷 Argentina – Remote ⏰ Full Time 🟠 Senior 🚰 Data Engineer Python Spark Tableau Ingeniero de Datos, Inglés 🕒 4 days ago Ready 11 - 50 🎯 Recruiter 👥 HR Tech 🏪 Marketplace Website LinkedIn All Job Openings Data Engineer designing and optimizing scalable data pipelines in Databricks. Collaborating with business and tech teams to ensure data quality and availability. 🇦🇷 Argentina – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer 🗣️🇪🇸 Spanish Required Apache PySpark Python Spark SQL Unity Lead Data Engineer – Microsoft Fabric 🕒 6 days ago Blend360 501 - 1000 🏥 Healthcare 🏨 Hospitality ✈️ Travel Website LinkedIn All Job Openings Lead Data Engineer overseeing ETL development and data transformation processes at AI services provider Blend. Collaborate with teams and ensure data readiness using Microsoft Fabric and SQL expertise. 🇦🇷 Argentina – Remote 💰 $100M Private Equity Round on 2022-08 ⏰ Full Time 🟠 Senior 🚰 Data Engineer Azure ERP ETL Python SQL Lead Data Engineer 🕒 July 24 Blend360 501 - 1000 🏥 Healthcare 🏨 Hospitality ✈️ Travel Website LinkedIn All Job Openings Data Engineer Lead at Blend designing and supporting data-driven solutions in an AI services environment. Ensure efficient reporting and analytics through scalable data engineering practices. 🇦🇷 Argentina – Remote 💰 $100M Private Equity Round on 2022-08 ⏰ Full Time 🟠 Senior 🚰 Data Engineer Python SQL Tableau 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 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