Senior AWS/Snowflake Data Engineer

Dallas, Texas, United StatesOnsiteFull TimeSeniorPosted 2 months agoVisa sponsorship available

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Role summary

Heitmeyer Consulting seeks a Senior AWS/Snowflake Data Engineer for a contract-to-hire role in Dallas, TX. This hands-on position focuses on designing, building, and operating cloud-based data solutions using AWS native services, Apache Iceberg lakehouse patterns, and Snowflake. The ideal candidate is a strong individual contributor proficient in Python, Java, or Scala, with advanced SQL skills, and experience in building ETL/ELT pipelines, secure REST APIs, and implementing data quality and monitoring. Responsibilities include developing AWS lakehouse architectures, engineering Iceberg datasets, designing Snowflake schemas, and optimizing data solutions for performance and cost.

Heitmeyer Consulting has a banking client that has a need within their Chief Data Office for a
Senior AWS / Snowflake Data Engineer
for a
contract?to?hire
role to help design, build, and operate modern cloud?based data solutions. This is a hands?on engineering role focused on
AWS?native data pipelines, Apache Iceberg lakehouse patterns, and Snowflake analytics platforms
.
The ideal candidate is a strong individual contributor who enjoys building production?ready data solutions, collaborating with analytics and business teams, and helping shape scalable data platforms that support critical business decisions. Role must be based in Dallas, TX.
Top Required Skills:

Strong hands?on experience as a Data Engineer in AWS
Proven experience with Apache Iceberg (table design, schema evolution, partitioning, maintenance)
Solid experience designing and operating Snowflake data models for analytics and consumption
Proficiency in Python, Java, or Scala
Advanced SQL skills (including Snowflake SQL)
Experience building ETL / ELT pipelines using native AWS services:

S3, Glue, Lambda, Step Functions, EventBridge

Experience developing secure, scalable REST APIs for data access
Strong understanding of data quality, monitoring, and error handling
Ability to work independently while collaborating across engineering, analytics, and business teams

Nice-to-have:

Apache Spark and big?data ecosystem experience
Workflow orchestration tools (Airflow or AWS?native orchestration)
Terraform / Infrastructure as Code experience
CI/CD and DevOps practices for data platforms
Experience optimizing cloud cost and performance
Financial services or other regulated?industry experience
AWS or cloud?data certifications

Key Responsibilities

Design and build AWS lakehouse architectures using S3 and Apache Iceberg
Develop and support end?to?end data pipelines using AWS?native services
Engineer and maintain Iceberg datasets, including schema evolution and table maintenance
Design and implement Snowflake schemas, tables, and views for analytics and data products
Build and maintain secure data APIs for internal applications and analytics teams
Optimize data solutions for performance, scalability, and cost efficiency
Implement data quality checks, validation, and observability
Partner with analysts, data scientists, and engineers to deliver reusable data products
Troubleshoot and resolve data pipeline and platform issues
Maintain clear technical documentation

*Heitmeyer Consulting is an equal opportunity employer, and we encourage all qualified candidates to apply. Qualified applicants will be considered without regard to minority status, gender, disability, veteran status or any other characteristic protected by law.*

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