Remotery

Senior Data Engineer, Architect

Posted Jun 26

This is a fully remote position, open to applicants in Texas.

đź“‹ Description

• The Senior Data Engineer is a proficient technical expert responsible for creating, enhancing, and modernizing data pipelines, data platforms, and analytics infrastructure for enterprise clients.

• You will engage throughout the entire data engineering lifecycle—from data ingestion and transformation to platform implementation and analytics support.

• You possess a clear understanding of the distinction between functional code and code that performs reliably in production under actual client scenarios.

• Participate in solution design discussions with architects—offering an engineering perspective on feasibility, complexity, and implementation trade-offs.

• Assist in defining data pipeline patterns, platform configurations, and engineering standards for the engagement.


⛳️ Requirements

• A Bachelor's Degree or equivalent experience, including military experience.

• Over 5 years of experience in data engineering or roles focused on cloud data platform development.

• More than 6 years of advanced SQL expertise across diverse database environments and data modeling patterns.

• Practical experience in developing on contemporary cloud data platforms—such as Snowflake, Databricks, or comparable platforms; with production-grade implementation experience, not merely familiarity.

• Proficiency with cloud data stacks on AWS, Azure, and/or GCP (e.g., EMR, Redshift, Glue, Kinesis/Kafka, Azure Data Factory, Synapse, BigQuery, Dataproc).

• Significant experience in constructing data pipelines using Spark; with proficiency in Python and/or Scala.

• Familiarity with data pipeline orchestration tools (e.g., Airflow, dbt, or similar tools).

• Understanding of lakehouse architectures, data mesh/fabric patterns, and contemporary data modeling techniques.

• Exposure to AI-ready data engineering—creating pipelines and data foundations that support Generative AI, Agentic AI, and machine learning workloads.

• Excellent communication skills; capable of collaborating with both technical teams and business stakeholders during client engagements.


🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Professional development opportunities

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