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Tech Stack
Tools & technologiesApacheHadoopHDFSJavaKafkaKubernetesPythonSDLCSparkSQL
About the role
Key responsibilities & impact- Pipeline Migration
- Logic & Scheduling: Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment.
- Data Transfer: Executing the physical migration of underlying datasets while ensuring data integrity.
- Stakeholder Engagement: Acting as a technical liaison to internal clients, facilitating "handoff and sign-off" conversations with data owners to ensure migrated assets meet business requirements
- Consumption Pattern Migration
- Code Conversion: Translating and optimizing legacy SQL and Spark-based consumption patterns (raw and modeled) for compatibility with Snowflake and Iceberg.
- Usage analysis: Understand usage patterns to deliver the required data products.
- Stakeholder Engagement: Acting as a technical liaison to internal clients, facilitating "handoff and sign-off" conversations with data owners to ensure migrated assets meet business requirements.
- Data Reconciliation & Quality: A rigorous approach to data validation is required. Candidates must work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows.
Requirements
What you’ll need- Education: Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field.
- Experience: Minimum of 5 years of professional "hands-on-keyboard" coding experience in a collaborative, team-based environment. Ability to trouble shoot (SQL) and basic scripting experience.
- Languages: Professional proficiency in Python or Java.
- Methodology: Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices & K8s deployment experience.
- Core Data Engineering Competencies: Candidates must demonstrate a sophisticated understanding of the following modeling concepts to ensure data correctness during reconciliation:
- Temporal Data Modeling: Managing state changes over time (e.g., SCD Type 2).
- Schema Management: Expertise in Schema Evolution (Ref: Iceberg Apache) and enforcement strategies.
- Performance Optimization: Advanced knowledge of data partitioning and clustering.
- Architectural Theory: Balancing Normalization vs. Denormalization and the strategic use of Natural vs. Surrogate Keys.
- Technical Stack Requirements: Extraction & Logic: Kafka, ANSI SQL, FTP, Apache Spark Data Formats: JSON, Avro, Parquet Platforms: Hadoop (HDFS/Hive), Snowflake, Apache Iceberg, Sybase IQ. Candidate will also need to work with our internal data management platform, and must have an aptitude for learning new workflows and language constructs is essential.
Benefits
Comp & perks- 🌐 Worldwide Post a Job Affiliates ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs Account Bounteous Website LinkedIn All Job Openings 501 - 1000 employees Founded 2003 🏢 Enterprise ☁️ SaaS 🤖 Artificial Intelligence 💰 Private Equity Round on 2021-08 Enterprise
- SaaS
- Artificial Intelligence Bounteous is a digital solutions firm known for its co-innovation model, which assists leading brands in navigating digital transformations and enhancing user experiences. The company partners with businesses from various sectors such as financial services, healthcare, telecommunications, retail, and convenience, to deliver data-driven solutions. Bounteous offers expertise in areas including artificial intelligence, data analytics, digital commerce, and cloud enablement, helping its clients harness technology for sustained growth and brand loyalty. With a global presence, Bounteous is dedicated to creating personalized and effective digital strategies that drive business success. Data Engineer 🔥 0 minutes ago 🏢🏡 Dallas – Hybrid 💵 $110k - $125k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer 🦅 H1B Visa Sponsor Apache Hadoop HDFS Java Kafka Kubernetes Python SDLC Spark SQL Apply Now Find Hiring Managers Customize resume for this job ☆ Save ☑️ Mark as applied ❌ Hide Report problem 📋 Description
- Pipeline Migration
- Logic & Scheduling: Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment.
- Data Transfer: Executing the physical migration of underlying datasets while ensuring data integrity.
- Stakeholder Engagement: Acting as a technical liaison to internal clients, facilitating "handoff and sign-off" conversations with data owners to ensure migrated assets meet business requirements
- Consumption Pattern Migration
- Code Conversion: Translating and optimizing legacy SQL and Spark-based consumption patterns (raw and modeled) for compatibility with Snowflake and Iceberg.
- Usage analysis: Understand usage patterns to deliver the required data products.
- Stakeholder Engagement: Acting as a technical liaison to internal clients, facilitating "handoff and sign-off" conversations with data owners to ensure migrated assets meet business requirements.
- Data Reconciliation & Quality: A rigorous approach to data validation is required. Candidates must work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows. 🎯 Requirements
- Education: Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field.
- Experience: Minimum of 5 years of professional "hands-on-keyboard" coding experience in a collaborative, team-based environment. Ability to trouble shoot (SQL) and basic scripting experience.
- Languages: Professional proficiency in Python or Java.
- Methodology: Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices & K8s deployment experience.
- Core Data Engineering Competencies: Candidates must demonstrate a sophisticated understanding of the following modeling concepts to ensure data correctness during reconciliation:
- Temporal Data Modeling: Managing state changes over time (e.g., SCD Type 2).
- Schema Management: Expertise in Schema Evolution (Ref: Iceberg Apache) and enforcement strategies.
- Performance Optimization: Advanced knowledge of data partitioning and clustering.
- Architectural Theory: Balancing Normalization vs. Denormalization and the strategic use of Natural vs. Surrogate Keys.
- Technical Stack Requirements: Extraction & Logic: Kafka, ANSI SQL, FTP, Apache Spark Data Formats: JSON, Avro, Parquet Platforms: Hadoop (HDFS/Hive), Snowflake, Apache Iceberg, Sybase IQ. Candidate will also need to work with our internal data management platform, and must have an aptitude for learning new workflows and language constructs is essential. 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 Healthcare Data Engineer 🕒 April 6 RSM US LLP 10,000+ employees Website LinkedIn All Job Openings Healthcare Data Engineer translating complex healthcare data into actionable insights for RSM, collaborating with Data Analytics team to design ETL pipelines and models. 🏢🏡 Dallas – Hybrid 💵 $88.9k - $168.3k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer 🦅 H1B Visa Sponsor AWS Azure Cloud ETL Google Cloud Platform Python Scala SQL Tableau Databricks, PySpark Data Engineer 🕒 March 19 Doran Jones Inc. 51 - 200 💸 Finance 📋 Compliance 🏢 Enterprise Website LinkedIn All Job Openings Hands-on Data Engineer specializing in Databricks and PySpark building scalable data pipelines. Modernizing ETL and reporting systems into Databricks-native applications. 🏢🏡 Dallas – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer AWS Azure Cloud ETL Google Cloud Platform Informatica PySpark Python SQL Tableau Unity Data Engineer 🕒 March 18 Heritage Capital Group 11 - 50 Website LinkedIn All Job Openings Data Engineer responsible for SQL database programming and data solutions development for Heritage Auctions. Collaborating with cross-functional teams to optimize data flow and performance in a hybrid work environment. 🏢🏡 Dallas – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Azure ElasticSearch Python SQL SSIS Terraform Data Engineer 🕒 March 12 CGS Federal (Contact Government Services) 51 - 200 🤝 B2B 🔒 Cybersecurity Website LinkedIn All Job Openings Data Engineer supporting a Data Analytics platform for federal customers with cutting-edge technology solutions. Collaborating within Agile/Scrum teams to solve complex data challenges. 🏢🏡 Dallas – Hybrid 💵 $112.6k - $152.8k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🚰 Data Engineer ETL Postgres Python SQL Data Engineer 🕒 February 17 ShortList Recruitment Limited 11 - 50 🎯 Recruiter 🤝 B2B 👥 HR Tech Website LinkedIn All Job Openings Data Engineer managing complex financial modeling and reporting data for Financial Services organization. Collaborating with Data Analysts on cutting-edge financial reports. 🏢🏡 Dallas – Hybrid 💵 $90k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer ETL Python SQL VBA 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 Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder 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
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Hard Skills & Tools
SQLPythonJavaData MigrationData ValidationData ModelingPerformance OptimizationSchema ManagementTemporal Data ModelingCode Conversion
Soft Skills
Stakeholder EngagementCollaborationTroubleshootingCommunication