More jobs:
Data Engineer
Job in
Houston, Harris County, Texas, 77246, USA
Listed on 2026-02-16
Listing for:
Kanak Elite Services
Contract
position Listed on 2026-02-16
Job specializations:
-
Engineering
Data Engineer
Job Description & How to Apply Below
Overview
TITLE:
DATA ENGINEER III
CONTRACT LENGTH: 6 - 12 MONTH CONTRACT, LOOKING TO THEN CONVERT
ONSITE 5 DAYS A WEEK IN DOWNTOWN HOUSTON OFFICE. LOOKING FOR HOUSTON LOCAL TALENT.
NEED SENIOR CANDIDATES 12+ 15+ YEARS OF CANDIDATE
Responsibilities- 7 10+ years of experience in Data Engineering or closely related Software Engineering roles with a data focus.
- Expert-level SQL development and data analysis skills, including advanced query optimization and debugging.
- Strong Python engineering skills and familiarity with software design principles and patterns (e.g., SOLID), unit testing, refactoring, and version control.
- Hands-on experience building ELT/ETL pipelines and orchestration with tools such as Astronomer/Airflow; proficiency with Git and CI/CD.
- Deep understanding of core data engineering patterns: ingestion, transformation, modeling (dimensional/SCDs), and delivery.
- Proven experience with database physical design including partitioning and effective partition key selection; exposure to clustering and micro-partitioning on MPP/cloud data platforms.
- Experience implementing data quality frameworks, observability/monitoring, and robust operational SLAs.
- Experience with Lakehouse table formats (Apache Iceberg/Delta/Hudi) and columnar storage (Parquet) on object storage (e.g., AWS S3).
- Strong communication skills with the ability to present complex technical concepts to both technical and business stakeholders.
- Required Qualifications
- 7 10+ years of experience in Data Engineering or closely related Software Engineering roles with a data focus.
- Expert-level SQL development and data analysis skills, including advanced query optimization and debugging.
- Strong Python engineering skills and familiarity with software design principles and patterns (e.g., SOLID), unit testing, refactoring, and version control.
- Hands-on experience building ELT/ETL pipelines and orchestration with tools such as Astronomer/Airflow; proficiency with Git and CI/CD.
- Deep understanding of core data engineering patterns: ingestion, transformation, modeling (dimensional/SCDs), and delivery.
- Proven experience with database physical design including partitioning and effective partition key selection; exposure to clustering and micro-partitioning on MPP/cloud data platforms.
- Experience implementing data quality frameworks, observability/monitoring, and robust operational SLAs.
- Experience with Lakehouse table formats (Apache Iceberg/Delta/Hudi) and columnar storage (Parquet) on object storage (e.g., AWS S3).
- Strong communication skills with the ability to present complex technical concepts to both technical and business stakeholders.
- Preferred Qualifications
- Experience optimizing Snowflake workloads (compute sizing, tasks/streams, clustering, micro-partitioning).
- Experience with dbt, Data Build Tool, or similar for transformation and testing.
- Experience with event streaming (Kafka/Kinesis/Flink) and API-based data integration.
- Experience with data catalog, governance, and lineage platforms.
- Domain experience in Oil & Gas midstream operations or industrial IoT/time-series data.
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