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# Senior Data Engineer

- **Company:** Dynata LLC
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Apache HTTP Server, Big Data, Cloud Database, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Logical Data Models, SQL Databases, Azure Data Factory, Snowflake, Data Build Tool (dbt), Apache Spark, Git, Containerization, Data Lakes, Kubernetes, Information Technology, Apache Flink, AWS Glue, AWS Data Analytics, Apache Kafka, Software Version Control, Apache Beam, Docker, Databricks
- **Published:** August 21, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88095036/1

## About the Role

6+ years of data engineering experience witha track recordof enterprise-scale delivery

Expertproficiencyin Python and SQL;PySparkexperiencerequired

Hands-on experience with Apache Spark, Delta Lake, or Apache Iceberg

Experiencewith orchestration tools: Apache Airflow, Prefect, orDagster

Strongknowledge of cloud data services: AWS Glue, Azure Data Factory, GCP Dataflow

Proficiencywith version control (Git), CI/CD pipelines, and containerization (Docker/Kubernetes)

Experiencewithdbt(data build tool) for transformation layer management

Bachelor'sdegree in Computer Science, Engineering, or related technical field

PREFERRED QUALIFICATIONS

Experiencewith Databricks, Snowflake, or Apache Hudi

Knowledgeof streaming architectures and Apache Kafka

Certifications: Databricks Certified Data Engineer, AWS Data Analytics Specialty

## Description

The Senior Data Engineeris responsible fordesigning, building, andmaintainingthedata pipelines, transformation layers, and data models that power the enterpriselakehouse. This role is a technical anchor on the data engineering team, delivering robust ELT/ETL solutions and serving as a mentor to junior engineers., Designand implement scalable batch and streaming data pipelines using Apache Spark, Kafka, and Flink

Buildandmaintainthe Bronze/Silver/Gold medallion architecture within thelakehouse(Delta Lake / Iceberg)

Developandoptimizecomplex SQL andPySparktransformations for large-scale datasets

Integratestructured, semi-structured, and unstructured data sources into thelakehouse

Collaboratewith data architects to evolve the physical and logical data models

Implementdata quality checks and monitoring using Great Expectations ordbttests


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