{"schemaVersion":"jobsearcher.job.v1","id":"866d65f162bf8c6db51e586b","url":"https://jobsearcher.com/jobs/866d65f162bf8c6db51e586b","canonicalUrl":"https://jobsearcher.com/jobs/866d65f162bf8c6db51e586b","title":"Data Engineer III (Enterprise Products Partners)","description":"Data Engineer IIIThe Data Engineer will use existing data lakehouse environment (Apache Iceberg/Dremio) to design and implement solutions for new consumers in the business. This person will work closely with project teams and members of new internal customers to deliver solutions using Python, SQL, creating data pipelines for the consumer. This is a 6000 person company where everyone wears multiple hats and it is not uncommon for the Data Engineering team to work with the customer directly to better understand their needs.Every candidate needs to have experience doing this or we will not submit. We clearly need very senior people considering the rate. This is not a production support position. This person will not be moving on-prem to cloud, so any S3 or Snowflake migration or AWS cloud migration exp is worthless. This job has nothing to do with any of that.Title: Data Engineer III (2 positions) Location: 100% onsite Day 1 in Downtown Houston (77002) Duration: 12 months, option to extend Visa: USC, GC, GC-EAD, H4-EAD Convert percentage: NoneWe are currently seeking an experienced Data Engineer to join the Big Data and Advanced Analytics department. The Data Engineer will work closely with business domain experts to create an Enterprise Data Lakehouse to support data analytic use cases for the midstream oil and gas operations, engineering, and measurements business units. Responsibilities include:Design and implement reliable data pipelines to integrate disparate data sources into a single Data LakehouseDesign and implement data quality pipelines to ensure data correctness and building trusted datasetsDesign and implement a Data Lakehouse solution which accurately reflects business operationsAssist with data platform performance tuning and physical data model support including partitioning and compactionProvide guidance in data visualizations and reporting efforts to ensure solutions are aligned to business objectivesThe successful candidate will meet the following qualifications:5+ years of experience as a Data Engineer designing and maintaining data pipeline architectures5+ years of programming experience in Python, ANSI SQL, PLSQL, and TSQLExperience in various data integration patterns including ETL, ELT, Pub/Sub, and Change Data CaptureExperience with common Python Data Engineering packages including pandas, Numpy, Pyarrow Pytest, Scikit-Learn, and Boto3Experience in software development practices such as Design Principles and Patterns, Testing, Refactoring, CI/CD, and version controlExperience in implementing a Data Lakehouse using Apache Iceberg or Delta LakeKnowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, and S3 Object StorageExperience with Dremio and Airbyte is preferred","company":"ShiftCode Analytics","rawCompany":"shiftcode analytics","city":"Houston","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-06-26T03:30:40.327Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer III (Enterprise Products Partners)","description":"Data Engineer IIIThe Data Engineer will use existing data lakehouse environment (Apache Iceberg/Dremio) to design and implement solutions for new consumers in the business. This person will work closely with project teams and members of new internal customers to deliver solutions using Python, SQL, creating data pipelines for the consumer. This is a 6000 person company where everyone wears multiple hats and it is not uncommon for the Data Engineering team to work with the customer directly to better understand their needs.Every candidate needs to have experience doing this or we will not submit. We clearly need very senior people considering the rate. This is not a production support position. This person will not be moving on-prem to cloud, so any S3 or Snowflake migration or AWS cloud migration exp is worthless. This job has nothing to do with any of that.Title: Data Engineer III (2 positions) Location: 100% onsite Day 1 in Downtown Houston (77002) Duration: 12 months, option to extend Visa: USC, GC, GC-EAD, H4-EAD Convert percentage: NoneWe are currently seeking an experienced Data Engineer to join the Big Data and Advanced Analytics department. The Data Engineer will work closely with business domain experts to create an Enterprise Data Lakehouse to support data analytic use cases for the midstream oil and gas operations, engineering, and measurements business units. Responsibilities include:Design and implement reliable data pipelines to integrate disparate data sources into a single Data LakehouseDesign and implement data quality pipelines to ensure data correctness and building trusted datasetsDesign and implement a Data Lakehouse solution which accurately reflects business operationsAssist with data platform performance tuning and physical data model support including partitioning and compactionProvide guidance in data visualizations and reporting efforts to ensure solutions are aligned to business objectivesThe successful candidate will meet the following qualifications:5+ years of experience as a Data Engineer designing and maintaining data pipeline architectures5+ years of programming experience in Python, ANSI SQL, PLSQL, and TSQLExperience in various data integration patterns including ETL, ELT, Pub/Sub, and Change Data CaptureExperience with common Python Data Engineering packages including pandas, Numpy, Pyarrow Pytest, Scikit-Learn, and Boto3Experience in software development practices such as Design Principles and Patterns, Testing, Refactoring, CI/CD, and version controlExperience in implementing a Data Lakehouse using Apache Iceberg or Delta LakeKnowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, and S3 Object StorageExperience with Dremio and Airbyte is preferred","datePosted":"2026-06-26T03:30:40.327Z","dateModified":"2026-06-26T03:30:40.327Z","hiringOrganization":{"@type":"Organization","name":"ShiftCode Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Houston","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"866d65f162bf8c6db51e586b"},"url":"https://jobsearcher.com/jobs/866d65f162bf8c6db51e586b"}}