Senior Data Engineer, Architect

Presidio

Senior Data Engineer optimizing and modernizing data pipelines and analytics infrastructure for enterprise clients. Collaborating across data engineering lifecycle at Presidio.

Posted 6/26/2026full-timeRemote • Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudGoogle Cloud PlatformKafkaPythonScalaSparkSQL

About the role

Key responsibilities & impact

The Senior Data Engineer is a strong technical practitioner who builds, optimizes, and modernizes data pipelines, data platforms, and analytics infrastructure for enterprise clients.
You work across the full data engineering lifecycle—from ingestion and transformation to platform implementation and analytics enablement.
You understand the difference between code that works and code that holds up in production under real client conditions.
Contribute to solution design discussions alongside architects—bring engineering-level perspective on feasibility, complexity, and implementation trade-offs.
Help define data pipeline patterns, platform configurations, and engineering standards within the engagement.

Requirements

What you’ll need

Bachelor's Degree or equivalent experience and/or military experience
5+ years in data engineering or cloud data platform development roles
6+ years of advanced SQL knowledge across multiple database environments and data modeling patterns
Hands-on experience developing on modern cloud data platforms—Snowflake, Databricks, or equivalent; production-grade implementation experience, not just familiarity
Experience with cloud data stacks on AWS, Azure, and/or GCP (e.g., EMR, Redshift, Glue, Kinesis/Kafka, Azure Data Factory, Synapse, BigQuery, Dataproc)
Strong experience building data pipelines on Spark; proficiency in Python and/or Scala
Experience with data pipeline orchestration tools (Airflow, dbt, or similar)
Familiarity with lakehouse architectures, data mesh/fabric patterns, and modern data modeling approaches
Exposure to AI-ready data engineering—building pipelines and data foundations that support GenAI, Agentic AI, and ML workloads
Solid communication skills; ability to work with both technical teams and business stakeholders across client engagements.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringSQLcloud data platform developmentdata modelingdata pipeline developmentSparkPythonScaladata pipeline orchestrationAI-ready data engineering

Soft Skills

communicationcollaborationsolution designfeasibility assessmentcomplexity analysisimplementation trade-offs

Certifications

Bachelor's Degree